Ajax is a JavaScript-based web technology that helps you to build dynamic and interactive websites. WordPress uses Ajax to power many of its core admin area features such as auto-saving posts, user session management, and notifications.
By default, WordPress directs all Ajax calls through the admin-ajax.php file located in the site’s /wp-admin directory.
Numerous simultaneous Ajax requests can lead to high admin-ajax.php usage, resulting in a considerably slowed down server and website. It’s one of the most common problems faced by many unoptimized WordPress sites. Typically, it manifests itself as a slow website or an HTTP 5xx error (mostly 504 or 502 errors).
In this article, you’ll learn about WordPress’ admin-ajax.php file, how it works, its benefits and drawbacks, and how you can diagnose and fix the high admin-ajax.php usage issue.
Ready to go? Let’s roll out!
What Is the admin-ajax.php File?
The admin-ajax.php file contains all the code for routing Ajax requests on WordPress. Its primary purpose is to establish a connection between the client and the server using Ajax. WordPress uses it to refresh the page’s contents without reloading it, thus making it dynamic and interactive to the users.
A basic overview of how Admin Ajax works on WordPress
Since the WordPress core already uses Ajax to power its various backend features, you can use the same functions to use Ajax on WordPress. All you need to do is register an action, point it to your site’s admin-ajax.php file, and define how you want it to return the value. You can set it to return HTML, JSON, or even XML.
admin-ajax.php file in WordPress
As per WordPress Trac, the admin-ajax.php file first appeared in WordPress 2.1. It’s also referred to as Ajax Admin in the WordPress development community.
Checking Ajax usage in MyKinsta dashboard
The chart above only shows the amount of admin-ajax.php requests, not where they might be coming from. It’s a great way to see when the spikes are occurring. You can combine it with other techniques mentioned in this post to narrow down the primary cause.
Checking the number of admin-ajax.php requests in Chrome DevTools
You can also use Chrome DevTools to see how many requests are being sent to admin-ajax.php. You can also check out the Timings tab under the Network section to find out how much time it takes to process these requests.
As for finding the exact reason behind high admin-ajax.php usage, there are primarily two main causes: one due to frontend, and the other due to backend. We’ll discuss both below.
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How to Debug High admin-ajax.php Usage on WordPress
Third-party plugins are one of the most common reasons behind high admin-ajax.php usage. Typically, this issue is seen on the site’s frontend and shows up frequently in speed test reports.
But plugins aren’t the only culprit here as themes, the WordPress core, the webserver, and a DDoS attack can also be the reason behind high Admin Ajax usage.
Let’s explore them in more detail.
How to Determine the Origin of High admin-ajax.php Usage for Plugins and Themes
Just because a plugin uses Ajax doesn’t mean that it’ll slow down your site.
Viewing the admin-ajax.php request in WebPageTest report
Usually, Admin Ajax loads towards the end of the page load. Also, you can set Ajax requests to load asynchronously, so it can have little to no effect on the page’s perceived performance for the user.
As you can see in the WebPageTest report above, admin-ajax.php loads towards the end of the requests queue, but it still takes up 780 ms. That’s a lot of time for just one request.
GTmetrix report indicating a serious admin-ajax.php usage spike
When developers don’t implement Ajax properly on WordPress, it can lead to drastic performance issues. The above GTmetrix report is a perfect example of such behavior.
You can also use GTmetrix to dig into individual post and response data. You can use this feature to pinpoint what’s causing the issue.
To do that, go to GTmetrix report’s Waterfall tab, and then find and click the POST admin-ajax.php item. You’ll see three tabs for this request: Headers, Post, and Response.
POST admin-ajax.php request’s Headers data
Checking out the request’s Post and Response tabs will give you some hints to find out the reasons behind the performance issue. For this site, you can see clues in the Response tab.
POST admin-ajax.php request’s Response data
You can see that part of the response has something to do with an input tag with id set to “fusion-form-nonce-656”.
A quick search of this clue will lead you to ThemeFusion’s website, the creators of Avada theme. Hence, you can conclude that the request is originating from the theme, or any of the plugins it’s bundled with.
In such a case, you must first ensure that the Avada theme and all its related plugins are fully updated. If that doesn’t fix the issue, then you can try disabling the theme and see if that fixes the issue.
Unlike disabling a plugin, disabling a theme isn’t feasible in most scenarios. Hence, try optimizing the theme to remove any bottlenecks. You can also reach out to the theme’s support team to see if they can suggest a better solution.
Testing another slow website in GTmetrix led to finding similar issues with Visual Composer page builder and Notification Bar plugins.
Another POST admin-ajax.php request’s Response dataPOST admin-ajax.php request’s Post data
Thankfully, if you cannot resolve an issue with the plugin, you most like have many alternative plugins available to try out. For example, when it comes to page builders you could also try out Beaver Builder or Elementor.
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How to Determine the Origin of High admin-ajax.php
Sometimes, the Post and Response data presented in speed test reports may not be as clear and straightforward. Here, finding the origin of high admin-ajax.php usage isn’t as easy. In such cases, you can always do it the old-school way.
Disable all your site’s plugins, clear your site’s cache (if any), and then run a speed test again. If admin-ajax.php is still present, then the most likely culprit is the theme. But if it’s nowhere to be found, then you must activate each plugin one-by-one and run the speed tests each time. By process of elimination, you’ll lock down on the issue’s origin.
Diagnosing Backend Server Issues with admin-ajax.php
The second most common reason for high admin-ajax.php usage is the WordPress Heartbeat API generating frequent Ajax calls, leading to high CPU usage on the server. Typically, this is caused because of many users logged into the WordPress backend dashboard. Hence, you won’t see this show up in speed tests.
By default, the Heartbeat API polls the admin-ajax.php file every 15 seconds to auto-save posts or pages. If you’re using a shared hosting server, then you don’t have many server resources dedicated to your site. If you’re editing a post or page and leave the tab open for a significant time, then it can rack up a lot of Admin Ajax requests.
For example, when you’re writing or editing posts, a single user alone can generate 240 requests in an hour!
Frequent autosave admin-ajax.php requests
That’s a lot of requests on the backend with just one user. Now imagine a site where there are multiple editors logged in concurrently. Such a site can rack up Ajax requests rapidly, generating high CPU usage.
That was the situation discovered by DARTDrones when the company was preparing its WooCommerce site for an expected surge in traffic following an appearance on Shark Tank.
Before being featured on the television show, the DARTDrones site was receiving over 4,100 admin-ajax.php calls in a day with only 2,000 unique visitors. That’s a weak requests-to-visits ratio.
Heavy admin-ajax.php usage on dartdrones.com
Investigators noticed the /wp-admin referrer URL and correctly determined the root cause. These requests were due to DARTDrones’ admins and editors updating the site frequently in anticipation of the show.
WordPress has fixed this Heartbeat API issue partially long ago. For instance, you can reduce the frequency of requests generated by the Heartbeat API on hosts with limited resources. It also suspends itself after one hour of keyboard/mouse/touch inactivity.
Overwhelming your site with a DDoS attack or spam bots can also lead to high admin-ajax.php usage. However, such an attack doesn’t necessarily target increasing Admin Ajax requests. It’s just collateral damage.
If your site is under a DDoS attack, your priority should be to get it behind a robust CDN/WAF like Cloudflare or Sucuri. Every hosting plan with Kinsta includes free Cloudflare integration and Kinsta CDN, which can help you offload your website’s resources to a large extent.
WordPress uses Ajax in its Heartbeat API to implement many of its core features. However, it can lead to increased load times if not used correctly. This is typically caused due to a high frequency of requests to the admin-ajax.php file.
In this article, you learned the various causes for high admin-ajax.php usage, how to diagnose what’s responsible for this symptom, and how you can go about fixing it. In most cases, following this guide should get your site back up and running smoothly in no time.
However, in some cases upgrading to a server with higher resources is the only viable solution. Especially for demanding use cases such as ecommerce and membership sites. If you’re running such a site, consider upgrading to a managed WordPress host who is experienced with these types of performance issues.
If you’re still struggling with high admin-ajax.php usage on your WordPress site, let us know in the comments section.
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Salman Ravoof
Salman Ravoof is a self-taught web developer, writer, creator, and a huge admirer of Free and Open Source Software (FOSS). Besides tech, he’s excited by science, philosophy, photography, arts, cats, and food. Learn more about him on his website, and connect with Salman on Twitter.
Welcome to the sixteenth edition of Cloudflare’s DDoS Threat Report. This edition covers DDoS trends and key findings for the fourth and final quarter of the year 2023, complete with a review of major trends throughout the year.
What are DDoS attacks?
DDoS attacks, or distributed denial-of-service attacks, are a type of cyber attack that aims to disrupt websites and online services for users, making them unavailable by overwhelming them with more traffic than they can handle. They are similar to car gridlocks that jam roads, preventing drivers from getting to their destination.
There are three main types of DDoS attacks that we will cover in this report. The first is an HTTP request intensive DDoS attack that aims to overwhelm HTTP servers with more requests than they can handle to cause a denial of service event. The second is an IP packet intensive DDoS attack that aims to overwhelm in-line appliances such as routers, firewalls, and servers with more packets than they can handle. The third is a bit-intensive attack that aims to saturate and clog the Internet link causing that ‘gridlock’ that we discussed. In this report, we will highlight various techniques and insights on all three types of attacks.
Previous editions of the report can be found here, and are also available on our interactive hub, Cloudflare Radar. Cloudflare Radar showcases global Internet traffic, attacks, and technology trends and insights, with drill-down and filtering capabilities for zooming in on insights of specific countries, industries, and service providers. Cloudflare Radar also offers a free API allowing academics, data sleuths, and other web enthusiasts to investigate Internet usage across the globe.
To learn how we prepare this report, refer to our Methodologies.
Key findings
In Q4, we observed a 117% year-over-year increase in network-layer DDoS attacks, and overall increased DDoS activity targeting retail, shipment and public relations websites during and around Black Friday and the holiday season.
In Q4, DDoS attack traffic targeting Taiwan registered a 3,370% growth, compared to the previous year, amidst the upcoming general election and reported tensions with China. The percentage of DDoS attack traffic targeting Israeli websites grew by 27% quarter-over-quarter, and the percentage of DDoS attack traffic targeting Palestinian websites grew by 1,126% quarter-over-quarter — as the military conflict between Israel and Hamas continues.
In Q4, there was a staggering 61,839% surge in DDoS attack traffic targeting Environmental Services websites compared to the previous year, coinciding with the 28th United Nations Climate Change Conference (COP 28).
For an in-depth analysis of these key findings and additional insights that could redefine your understanding of current cybersecurity challenges, read on!
Illustration of a DDoS attack
Hyper-volumetric HTTP DDoS attacks
2023 was the year of uncharted territories. DDoS attacks reached new heights — in size and sophistication. The wider Internet community, including Cloudflare, faced a persistent and deliberately engineered campaign of thousands of hyper-volumetric DDoS attacks at never before seen rates.
These attacks were highly complex and exploited an HTTP/2 vulnerability. Cloudflare developed purpose-built technology to mitigate the vulnerability’s effect and worked with others in the industry to responsibly disclose it.
As part of this DDoS campaign, in Q3 our systems mitigated the largest attack we’ve ever seen — 201 million requests per second (rps). That’s almost 8 times larger than our previous 2022 record of 26 million rps.
Largest HTTP DDoS attacks as seen by Cloudflare, by year
Growth in network-layer DDoS attacks
After the hyper-volumetric campaign subsided, we saw an unexpected drop in HTTP DDoS attacks. Overall in 2023, our automated defenses mitigated over 5.2 million HTTP DDoS attacks consisting of over 26 trillion requests. That averages at 594 HTTP DDoS attacks and 3 billion mitigated requests every hour.
Despite these astronomical figures, the amount of HTTP DDoS attack requests actually declined by 20% compared to 2022. This decline was not just annual but was also observed in 2023 Q4 where the number of HTTP DDoS attack requests decreased by 7% YoY and 18% QoQ.
On the network-layer, we saw a completely different trend. Our automated defenses mitigated 8.7 million network-layer DDoS attacks in 2023. This represents an 85% increase compared to 2022.
In 2023 Q4, Cloudflare’s automated defenses mitigated over 80 petabytes of network-layer attacks. On average, our systems auto-mitigated 996 network-layer DDoS attacks and 27 terabytes every hour. The number of network-layer DDoS attacks in 2023 Q4 increased by 175% YoY and 25% QoQ.
HTTP and Network-layer DDoS attacks by quarter
DDoS attacks increase during and around COP 28
In the final quarter of 2023, the landscape of cyber threats witnessed a significant shift. While the Cryptocurrency sector was initially leading in terms of the volume of HTTP DDoS attack requests, a new target emerged as a primary victim. The Environmental Services industry experienced an unprecedented surge in HTTP DDoS attacks, with these attacks constituting half of all its HTTP traffic. This marked a staggering 618-fold increase compared to the previous year, highlighting a disturbing trend in the cyber threat landscape.
This surge in cyber attacks coincided with COP 28, which ran from November 30th to December 12th, 2023. The conference was a pivotal event, signaling what many considered the ‘beginning of the end’ for the fossil fuel era. It was observed that in the period leading up to COP 28, there was a noticeable spike in HTTP attacks targeting Environmental Services websites. This pattern wasn’t isolated to this event alone.
Looking back at historical data, particularly during COP 26 and COP 27, as well as other UN environment-related resolutions or announcements, a similar pattern emerges. Each of these events was accompanied by a corresponding increase in cyber attacks aimed at Environmental Services websites.
In February and March 2023, significant environmental events like the UN’s resolution on climate justice and the launch of United Nations Environment Programme’s Freshwater Challenge potentially heightened the profile of environmental websites, possibly correlating with an increase in attacks on these sites.
This recurring pattern underscores the growing intersection between environmental issues and cyber security, a nexus that is increasingly becoming a focal point for attackers in the digital age.
DDoS attacks and Iron Swords
It’s not just UN resolutions that trigger DDoS attacks. Cyber attacks, and particularly DDoS attacks, have long been a tool of war and disruption. We witnessed an increase in DDoS attack activity in the Ukraine-Russia war, and now we’re also witnessing it in the Israel-Hamas war. We first reported the cyber activity in our report Cyber attacks in the Israel-Hamas war, and we continued to monitor the activity throughout Q4.
DDoS attacks targeting Israeli and Palestinian websites, by industry
Relative to each region’s traffic, the Palestinian territories was the second most attacked region by HTTP DDoS attacks in Q4. Over 10% of all HTTP requests towards Palestinian websites were DDoS attacks, a total of 1.3 billion DDoS requests — representing a 1,126% increase in QoQ. 90% of these DDoS attacks targeted Palestinian Banking websites. Another 8% targeted Information Technology and Internet platforms.
Top attacked Palestinian industries
Similarly, our systems automatically mitigated over 2.2 billion HTTP DDoS requests targeting Israeli websites. While 2.2 billion represents a decrease compared to the previous quarter and year, it did amount to a larger percentage out of the total Israel-bound traffic. This normalized figure represents a 27% increase QoQ but a 92% decrease YoY. Notwithstanding the larger amount of attack traffic, Israel was the 77th most attacked region relative to its own traffic. It was also the 33rd most attacked by total volume of attacks, whereas the Palestinian territories was 42nd.
Of those Israeli websites attacked, Newspaper & Media were the main target — receiving almost 40% of all Israel-bound HTTP DDoS attacks. The second most attacked industry was the Computer Software industry. The Banking, Financial Institutions, and Insurance (BFSI) industry came in third.
Top attacked Israeli industries
On the network layer, we see the same trend. Palestinian networks were targeted by 470 terabytes of attack traffic — accounting for over 68% of all traffic towards Palestinian networks. Surpassed only by China, this figure placed the Palestinian territories as the second most attacked region in the world, by network-layer DDoS attack, relative to all Palestinian territories-bound traffic. By absolute volume of traffic, it came in third. Those 470 terabytes accounted for approximately 1% of all DDoS traffic that Cloudflare mitigated.
Israeli networks, though, were targeted by only 2.4 terabytes of attack traffic, placing it as the 8th most attacked country by network-layer DDoS attacks (normalized). Those 2.4 terabytes accounted for almost 10% of all traffic towards Israeli networks.
Top attacked countries
When we turned the picture around, we saw that 3% of all bytes that were ingested in our Israeli-based data centers were network-layer DDoS attacks. In our Palestinian-based data centers, that figure was significantly higher — approximately 17% of all bytes.
On the application layer, we saw that 4% of HTTP requests originating from Palestinian IP addresses were DDoS attacks, and almost 2% of HTTP requests originating from Israeli IP addresses were DDoS attacks as well.
Main sources of DDoS attacks
In the third quarter of 2022, China was the largest source of HTTP DDoS attack traffic. However, since the fourth quarter of 2022, the US took the first place as the largest source of HTTP DDoS attacks and has maintained that undesirable position for five consecutive quarters. Similarly, our data centers in the US are the ones ingesting the most network-layer DDoS attack traffic — over 38% of all attack bytes.
HTTP DDoS attacks originating from China and the US by quarter
Together, China and the US account for a little over a quarter of all HTTP DDoS attack traffic in the world. Brazil, Germany, Indonesia, and Argentina account for the next twenty-five percent.
Top source of HTTP DDoS attacks
These large figures usually correspond to large markets. For this reason, we also normalize the attack traffic originating from each country by comparing their outbound traffic. When we do this, we often get small island nations or smaller market countries that a disproportionate amount of attack traffic originates from. In Q4, 40% of Saint Helena’s outbound traffic were HTTP DDoS attacks — placing it at the top. Following the ‘remote volcanic tropical island’, Libya came in second, Swaziland (also known as Eswatini) in third. Argentina and Egypt follow in fourth and fifth place.
Top source of HTTP DDoS attacks with respect to each country’s traffic
On the network layer, Zimbabwe came in first place. Almost 80% of all traffic we ingested in our Zimbabwe-based data center was malicious. In second place, Paraguay, and Madagascar in third.
Top source of Network-layer DDoS attacks with respect to each country’s traffic
Most attacked industries
By volume of attack traffic, Cryptocurrency was the most attacked industry in Q4. Over 330 billion HTTP requests targeted it. This figure accounts for over 4% of all HTTP DDoS traffic for the quarter. The second most attacked industry was Gaming & Gambling. These industries are known for being coveted targets and attract a lot of traffic and attacks.
Top industries targeted by HTTP DDoS attacks
On the network layer, the Information Technology and Internet industry was the most attacked — over 45% of all network-layer DDoS attack traffic was aimed at it. Following far behind were the Banking, Financial Services and Insurance (BFSI), Gaming & Gambling, and Telecommunications industries.
Top industries targeted by Network-layer DDoS attacks
To change perspectives, here too, we normalized the attack traffic by the total traffic for a specific industry. When we do that, we get a different picture.
Top attacked industries by HTTP DDoS attacks, by region
We already mentioned in the beginning of this report that the Environmental Services industry was the most attacked relative to its own traffic. In second place was the Packaging and Freight Delivery industry, which is interesting because of its timely correlation with online shopping during Black Friday and the winter holiday season. Purchased gifts and goods need to get to their destination somehow, and it seems as though attackers tried to interfere with that. On a similar note, DDoS attacks on retail companies increased by 16% compared to the previous year.
Top industries targeted by HTTP DDoS attacks with respect to each industry’s traffic
On the network layer, Public Relations and Communications was the most targeted industry — 36% of its traffic was malicious. This too is very interesting given its timing. Public Relations and Communications companies are usually linked to managing public perception and communication. Disrupting their operations can have immediate and widespread reputational impacts which becomes even more critical during the Q4 holiday season. This quarter often sees increased PR and communication activities due to holidays, end-of-year summaries, and preparation for the new year, making it a critical operational period — one that some may want to disrupt.
Top industries targeted by Network-layer DDoS attacks with respect to each industry’s traffic
Most attacked countries and regions
Singapore was the main target of HTTP DDoS attacks in Q4. Over 317 billion HTTP requests, 4% of all global DDoS traffic, were aimed at Singaporean websites. The US followed closely in second and Canada in third. Taiwan came in as the fourth most attacked region — amidst the upcoming general elections and the tensions with China. Taiwan-bound attacks in Q4 traffic increased by 847% compared to the previous year, and 2,858% compared to the previous quarter. This increase is not limited to the absolute values. When normalized, the percentage of HTTP DDoS attack traffic targeting Taiwan relative to all Taiwan-bound traffic also significantly increased. It increased by 624% quarter-over-quarter and 3,370% year-over-year.
Top targeted countries by HTTP DDoS attacks
While China came in as the ninth most attacked country by HTTP DDoS attacks, it’s the number one most attacked country by network-layer attacks. 45% of all network-layer DDoS traffic that Cloudflare mitigated globally was China-bound. The rest of the countries were so far behind that it is almost negligible.
Top targeted countries by Network-layer DDoS attacks
When normalizing the data, Iraq, Palestinian territories, and Morocco take the lead as the most attacked regions with respect to their total inbound traffic. What’s interesting is that Singapore comes up as fourth. So not only did Singapore face the largest amount of HTTP DDoS attack traffic, but that traffic also made up a significant amount of the total Singapore-bound traffic. By contrast, the US was second most attacked by volume (per the application-layer graph above), but came in the fiftieth place with respect to the total US-bound traffic.
Top targeted countries by HTTP DDoS attacks with respect to each country’s traffic
Similar to Singapore, but arguably more dramatic, China is both the number one most attacked country by network-layer DDoS attack traffic, and also with respect to all China-bound traffic. Almost 86% of all China-bound traffic was mitigated by Cloudflare as network-layer DDoS attacks. The Palestinian territories, Brazil, Norway, and again Singapore followed with large percentages of attack traffic.
Top targeted countries by Network-layer DDoS attacks with respect to each country’s traffic
Attack vectors and attributes
The majority of DDoS attacks are short and small relative to Cloudflare’s scale. However, unprotected websites and networks can still suffer disruption from short and small attacks without proper inline automated protection — underscoring the need for organizations to be proactive in adopting a robust security posture.
In 2023 Q4, 91% of attacks ended within 10 minutes, 97% peaked below 500 megabits per second (mbps), and 88% never exceeded 50 thousand packets per second (pps).
Two out of every 100 network-layer DDoS attacks lasted more than an hour, and exceeded 1 gigabit per second (gbps). One out of every 100 attacks exceeded 1 million packets per second. Furthermore, the amount of network-layer DDoS attacks exceeding 100 million packets per second increased by 15% quarter-over-quarter.
DDoS attack stats you should know
One of those large attacks was a Mirai-botnet attack that peaked at 160 million packets per second. The packet per second rate was not the largest we’ve ever seen. The largest we’ve ever seen was 754 million packets per second. That attack occurred in 2020, and we have yet to see anything larger.
This more recent attack, though, was unique in its bits per second rate. This was the largest network-layer DDoS attack we’ve seen in Q4. It peaked at 1.9 terabits per second and originated from a Mirai botnet. It was a multi-vector attack, meaning it combined multiple attack methods. Some of those methods included UDP fragments flood, UDP/Echo flood, SYN Flood, ACK Flood, and TCP malformed flags.
This attack targeted a known European Cloud Provider and originated from over 18 thousand unique IP addresses that are assumed to be spoofed. It was automatically detected and mitigated by Cloudflare’s defenses.
This goes to show that even the largest attacks end very quickly. Previous large attacks we’ve seen ended within seconds — underlining the need for an in-line automated defense system. Though still rare, attacks in the terabit range are becoming more and more prominent.
1.9 Terabit per second Mirai DDoS attacks
The use of Mirai-variant botnets is still very common. In Q4, almost 3% of all attacks originate from Mirai. Though, of all attack methods, DNS-based attacks remain the attackers’ favorite. Together, DNS Floods and DNS Amplification attacks account for almost 53% of all attacks in Q4. SYN Flood follows in second and UDP floods in third. We’ll cover the two DNS attack types here, and you can visit the hyperlinks to learn more about UDP and SYN floods in our Learning Center.
DNS floods and amplification attacks
DNS floods and DNS amplification attacks both exploit the Domain Name System (DNS), but they operate differently. DNS is like a phone book for the Internet, translating human-friendly domain names like “www.cloudfare.com” into numerical IP addresses that computers use to identify each other on the network.
Simply put, DNS-based DDoS attacks comprise the method computers and servers used to identify one another to cause an outage or disruption, without actually ‘taking down’ a server. For example, a server may be up and running, but the DNS server is down. So clients won’t be able to connect to it and will experience it as an outage.
A DNS flood attack bombards a DNS server with an overwhelming number of DNS queries. This is usually done using a DDoS botnet. The sheer volume of queries can overwhelm the DNS server, making it difficult or impossible for it to respond to legitimate queries. This can result in the aforementioned service disruptions, delays or even an outage for those trying to access the websites or services that rely on the targeted DNS server.
On the other hand, a DNS amplification attack involves sending a small query with a spoofed IP address (the address of the victim) to a DNS server. The trick here is that the DNS response is significantly larger than the request. The server then sends this large response to the victim’s IP address. By exploiting open DNS resolvers, the attacker can amplify the volume of traffic sent to the victim, leading to a much more significant impact. This type of attack not only disrupts the victim but also can congest entire networks.
In both cases, the attacks exploit the critical role of DNS in network operations. Mitigation strategies typically include securing DNS servers against misuse, implementing rate limiting to manage traffic, and filtering DNS traffic to identify and block malicious requests.
Top attack vectors
Amongst the emerging threats we track, we recorded a 1,161% increase in ACK-RST Floods as well as a 515% increase in CLDAP floods, and a 243% increase in SPSS floods, in each case as compared to last quarter. Let’s walk through some of these attacks and how they’re meant to cause disruption.
Top emerging attack vectors
ACK-RST floods
An ACK-RST Flood exploits the Transmission Control Protocol (TCP) by sending numerous ACK and RST packets to the victim. This overwhelms the victim’s ability to process and respond to these packets, leading to service disruption. The attack is effective because each ACK or RST packet prompts a response from the victim’s system, consuming its resources. ACK-RST Floods are often difficult to filter since they mimic legitimate traffic, making detection and mitigation challenging.
CLDAP floods
CLDAP (Connectionless Lightweight Directory Access Protocol) is a variant of LDAP (Lightweight Directory Access Protocol). It’s used for querying and modifying directory services running over IP networks. CLDAP is connectionless, using UDP instead of TCP, making it faster but less reliable. Because it uses UDP, there’s no handshake requirement which allows attackers to spoof the IP address thus allowing attackers to exploit it as a reflection vector. In these attacks, small queries are sent with a spoofed source IP address (the victim’s IP), causing servers to send large responses to the victim, overwhelming it. Mitigation involves filtering and monitoring unusual CLDAP traffic.
SPSS floods
Floods abusing the SPSS (Source Port Service Sweep) protocol is a network attack method that involves sending packets from numerous random or spoofed source ports to various destination ports on a targeted system or network. The aim of this attack is two-fold: first, to overwhelm the victim’s processing capabilities, causing service disruptions or network outages, and second, it can be used to scan for open ports and identify vulnerable services. The flood is achieved by sending a large volume of packets, which can saturate the victim’s network resources and exhaust the capacities of its firewalls and intrusion detection systems. To mitigate such attacks, it’s essential to leverage in-line automated detection capabilities.
Cloudflare is here to help – no matter the attack type, size, or duration
Cloudflare’s mission is to help build a better Internet, and we believe that a better Internet is one that is secure, performant, and available to all. No matter the attack type, the attack size, the attack duration or the motivation behind the attack, Cloudflare’s defenses stand strong. Since we pioneered unmetered DDoS Protection in 2017, we’ve made and kept our commitment to make enterprise-grade DDoS protection free for all organizations alike — and of course, without compromising performance. This is made possible by our unique technology and robust network architecture.
It’s important to remember that security is a process, not a single product or flip of a switch. Atop of our automated DDoS protection systems, we offer comprehensive bundled features such as firewall, bot detection, API protection, and caching to bolster your defenses. Our multi-layered approach optimizes your security posture and minimizes potential impact. We’ve also put together a list of recommendations to help you optimize your defenses against DDoS attacks, and you can follow our step-by-step wizards to secure your applications and prevent DDoS attacks. And, if you’d like to benefit from our easy to use, best-in-class protection against DDoS and other attacks on the Internet, you can sign up — for free! — at cloudflare.com. If you’re under attack, register or call the cyber emergency hotline number shown here for a rapid response.
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Spam registrations are common on WordPress websites. WordPress is the most popular content management system in the world, with over 60 percent market share. This makes it a prime target for scammers. It’s also, unfortunately, easy to create fake user accounts on the platform, requiring only an account name, email address, and password – all things spammers can simply invent.
Fake registrations can cause extensive issues, such as hogging resources, spreading malware, and creating an unmanageable user base.
WordPress doesn’t have a default functionality to combat spam user registrations, butthe good news is that plugins like Shield Security PRO can fill in the gap. Let’s take a look at some strategies for preventing spam user registrations.
Introduction to spam registrations in WordPress
WordPress spam registrations are when spammers create accounts on sites without any intention of using them for authentic purposes. Typically, spammers use automated programs or bots to create these accounts. Spammers may also use bots and spam accounts for phishing purposes, trying to acquire sensitive information from users and webmasters to compromise their security.
Website owners often underestimate the harm spam registrations can cause. These range from immediate annoyances to long-term security problems and data distortion.
For example, spam registrations can clog your inbox, causing surges of email notifications informing you of fake sign-ups for your website. Processing and deleting these emails and accounts without getting rid of legitimate users is time-consuming and challenging.
Spam registrations can also overload server resources, affecting performance. Spam bots can make frequent login attempts, using up your bandwidth and making your website run slower for legitimate users.
There can also be some considerable long-term consequences. Users may tire of spam comments and stop interacting with your content. You may also struggle to analyse user data, distorting your view of how your site is functioning. This can lead to security vulnerabilities and damage your site’s SEO.
Strategies to prevent WordPress user registration spam
This section covers various strategies and techniques that you can implement to prevent new user registration spam and improve the overall security of your WordPress site.
Install a WordPress security plugin
The first strategy is to install a WordPress security plugin. Choosing the right security plugin not only helps prevent spam registrations on your WordPress site, but it also gives you access to a wide range of security features.
Shield Security PRO is the best plugin for improving the overall security of your WordPress site. The plugin’s key features include bad bot detection and blocking, invisible CAPTCHA codes, human and bot spam prevention, traffic rate limiting, and malware scanning.
Here’s a rundown of Shield Security PRO’s features and how they can help protect your site:
CrowdSec Integration – crowdsourced IP Block lists that contain known IPs of bots & spammers that are instantly blocked access.
Disable WordPress registration
Using a plugin like ShieldPRO is the best choice to ensure the ongoing security of your WordPress site. However, there are also manual methods you can employ to help prevent user registration spam.
Disabling user registration in WordPress is one strategy. This approach eliminates the problem of spam signups entirely. You could try this option if you don’t need to collect user information, run a website with limited resources, or simply want to provide audiences with information for free.
The steps to disable registration on your WordPress site are as follows:
From the WordPress dashboard, go to Settings > General.
Next, go to “Membership” and uncheck the “Anyone can register” box.
It’s worth considering that this technique prevents you from collecting visitor details, which stops you from building email lists or marketing directly to your audience. It also reduces personalisation opportunities and limits community building.
Add CAPTCHA to your user registration form
You can also try adding CAPTCHA to your user registration form. This prevents automated spam registrations by identifying bots before they can create accounts.
Various forms of CAPTCHA plugins for your site exist, including:
reCAPTCHA: Google reCAPTCHA is a free service that combines text and images in a user-friendly interface, designed to weed out bots
hCAPTCHA: hCAPTCHA is a free service that uses images and action-based tests to identify bots. This service is customisable and prioritises user privacy.
ShieldPRO’s AntiBot Detection Engine (ADE) avoids the need to use CAPTCHA at all. Since the plugin automatically detects and blocks bots, there’s no reason to test your visitors for signs of nuts and bolts.
Implement geoblocking
You can also try geoblocking, a security method that limits website access to specific regions. It works by filtering IP addresses by location, only letting specific IPs enter the site.
Geoblocking prevents spam from regions known for high levels of malicious activity. However, it also comes with various drawbacks. For example, it causes false positives, blocking legitimate site users just because they are in the wrong country. Spammers can also bypass it with proxy sites and VPNs.
Fortunately, ShieldPRO’s automated IP blocking technology more accurately and effectively stops spam users by blocking them after a specified number of offences. It detects malicious activity regardless of the traffic’s origin.
Require manual approval for user registration
Manual user approvals can also mitigate spam registrations, offering significant benefits. The approach drastically reduces the chances of bot sign-up while also permitting you to collect legitimate user details.
Drawbacks include the time-intensive nature of this method and the lack of scalability for larger WordPress sites. You may need to hire multiple full-time operatives to manage website administration, which can get pricey, fast.
Turn on email activation for user registration
Email activation for user registration is another popular technique to guard against spam registrations. It works by getting users to click a link in their email account to verify their details.
Shield Security PRO features a built-in email-checking feature. This tests to see if the email has a valid structure and is registered to a legitimate domain. It also checks if there are any mail exchange records for the domain, and determines if the email address goes to a disposable domain. These checks help to flag fake and temporary email addresses in user registrations.
Block spam IP addresses
One of the primary ways Shield Security PRO works is by blocking malicious IP addresses once they’ve behaved badly enough to qualify as a bot. There is no one clear action an IP address can do on your site that proves it’s a bot. However, certain patterns of behaviour give bots away clear as day.
“When you look at the activity as a whole” says Paul Goodchild, creator of Shield Security PRO, “a bot’s activity on a site is clearly distinguishable from human users.”
The plugin then uses this clear indication as a signal to block the IP address entirely, stopping malicious activity in its tracks. The plugin also uses CrowdSec technology to minimise the risk of false positives and enable as many legitimate sign-ups as possible.
Secure your WordPress site with ShieldPRO today
The damaging impact of spam user registrations can be substantial. It can cause clogged inboxes, distorted user analytics, and server overload. The long-term consequences are diminished website SEO, reputational damage, and security vulnerabilities due to phishing and malware.
Fortunately, there are various methods to prevent spam user registrations on WordPress websites. The most effective option is to use a plugin like Shield SecurityPRO. This plugin keeps malicious bots off your website. Since most spam user registrations come from bots, this means you can rest a lot easier.
If you’re curious about ShieldPRO and would like to explore the powerful features for protecting your WordPress sites, click here to get started today. (14-day satisfaction guarantee!)
You’ll get all PRO features, including AI Malware Scanning, WP Config File Protection, Plugin and Theme File Guard, import/export, exclusive customer support, and so much more.
By: Shinji Robert Arasawa, Joshua Aquino, Charles Steven Derion, Juhn Emmanuel Atanque, Francisrey Joshua Castillo, John Carlo Marquez, Henry Salcedo, John Rainier Navato, Arianne Dela Cruz, Raymart Yambot, Ian Kenefick January 09, 2024 Read time: 8 min (2105 words)
A threat actor we track under the Intrusion set Water Curupira (known to employ the Black Basta ransomware) has been actively using Pikabot. a loader malware with similarities to Qakbot, in spam campaigns throughout 2023.
Pikabot is a type of loader malware that was actively used in spam campaigns by a threat actor we track under the Intrusion set Water Curupira in the first quarter of 2023, followed by a break at the end of June that lasted until the start of September 2023. Other researchers have previously noted its strong similarities to Qakbot, the latter of which was taken down by law enforcement in August 2023. An increase in the number of phishing campaigns related to Pikabot was recorded in the last quarter of 2023, coinciding with the takedown of Qakbot — hinting at the possibility that Pikabot might be a replacement for the latter (with DarkGate being another temporary replacement in the wake of the takedown).
Pikabot’s operators ran phishing campaigns, targeting victims via its two components — a loader and a core module — which enabled unauthorized remote access and allowed the execution of arbitrary commands through an established connection with their command-and-control (C&C) server. Pikabot is a sophisticated piece of multi-stage malware with a loader and core module within the same file, as well as a decrypted shellcode that decrypts another DLL file from its resources (the actual payload).
In general, Water Curupira conducts campaigns for the purpose of dropping backdoors such as Cobalt Strike, leading to Black Basta ransomware attacks (coincidentally, Black Basta also returned to operations in September 2023). The threat actor conducted several DarkGate spam campaigns and a small number of IcedID campaigns in the early weeks of the third quarter of 2023, but has since pivoted exclusively to Pikabot.
Pikabot, which gains initial access to its victim’s machine through spam emails containing an archive or a PDF attachment, exhibits the same behavior and campaign identifiers as Qakbot.
Figure 1. Our observations from the infection chain based on Trend’s investigation
Initial access via email
The malicious actors who send these emails employ thread-hijacking, a technique where malicious actors use existing email threads (possibly stolen from previous victims) and create emails that look like they were meant to be part of the thread to trick recipients into believing that they are legitimate. Using this technique increases the chances that potential victims would select malicious links or attachments. Malicious actors send these emails using addresses (created either through new domains or free email services) with names that can be found in original email threads hijacked by the malicious actor. The email contains most of the content of the original thread, including the email subject, but adds a short message on top directing the recipient to open the email attachment.
This attachment is either a password-protected archive ZIP file containing an IMG file or a PDF file. The malicious actor includes the password in the email message. Note that the name of the file attachment and its password vary for each email.
Figure 2. Sample email with a malicious ZIP attachmentFigure 3. Sample email with a malicious PDF attachment
The emails containing PDF files have a shorter message telling the recipient to check or view the email attachment.
The first stage of the attack
The attached archive contains a heavily obfuscated JavaScript (JS) with a file size amounting to more than 100 KB. Once executed by the victim, the script will attempt to execute a series of commands using conditional execution.
Figure 4. Files extracted to the attached archive (.zip or .img)Figure 5. Deobfuscated JS command
The script attempts command execution using cmd.exe. If this initial attempt is unsuccessful, the script proceeds with the following steps: It echoes a designated string to the console and tries to ping a specified target using the same string. In case the ping operation fails, the script employs Curl.exe to download the Pikabot payload from an external server, saving the file in the system’s temporary directory.
Subsequently, the script will retry the ping operation. If the retry is also unsuccessful, it uses rundll32.exe to execute the downloaded Pikabot payload (now identified as a .dll file) with “Crash” as the export parameter. The sequence of commands concludes by exiting the script with the specified exit code, ciCf51U2FbrvK.
We were able to observe another attack chain where the malicious actors implemented a more straightforward attempt to deliver the payload. As before, similar phishing techniques were performed to trick victims into downloading and executing malicious attachments. In this case, password-protected archive attachments were deployed, with the password contained in the body of the email.
However, instead of a malicious script, an IMG file was extracted from the attachment. This file contained two additional files — an LNK file posing as a Word document and a DLL file, which turned out to be the Pikabot payload extracted straight from the email attachment:
Figure 6. The content of the IMG file
Contrary to the JS file observed earlier, this chain maintained its straightforward approach even during the execution of the payload.
Once the victim is lured into executing the LNK file, rundll32.exe will be used to run the Pikabot DLL payload using an export parameter, “Limit”.
The content of the PDF file is disguised to look like a file hosted on Microsoft OneDrive to convince the recipient that the attachment is legitimate. Its primary purpose is to trick victims into accessing the PDF file content, which is a link to download malware.
Figure 7. Malicious PDF file disguised to look like a OneDrive attachment; note the misspelling of the word “Download”
When the user selects the download button, it will attempt to access a malicious URL, then proceed to download a malicious JS file (possibly similar to the previously mentioned JS file).
The delivery of the Pikabot payload via PDF attachment is a more recent development, emerging only in the fourth quarter of 2023.
We discovered an additional variant of the malicious downloader that employed obfuscation methods involving array usage and manipulation:
Figure 8. Elements of array “_0x40ee” containing download URLs and JS methods used for further execution
Nested functions employed array manipulation methods using “push” and “shift,” introducing complexity to the code’s structure and concealing its flow to hinder analysis. The presence of multiple download URLs, the dynamic creation of random directories using the mkdir command, and the use of Curl.exe, as observed in the preceding script, are encapsulated within yet another array. The JavaScript will run multiple commands in an attempt to retrieve the malicious payload from different external websites using Curl.exe, subsequently storing it in a random directory created using mkdir.
Figure 9. Payload retrieval commands using curl.exe
The rundll32.exe file will continue to serve as the execution mechanism for the payload, incorporating its export parameter.
Figure 10. Payload execution using rundll32.exe
The Pikabot payload
We analyzed the DLL file extracted from the archive shown in Figure 6 and found it to be a sample of a 32-bit DLL file with 1515 exports. Calling its export function “Limit”, the file will decrypt and execute a shellcode that identifies if the process is being debugged by calling the Windows API NtQueryInformationProcess twice with the flag 0x7 (ProcessDebugPort) on the first call and 0x1F ProcessDebugFlags on the second call. This shellcode also decrypts another DLL file that it loads into memory and then eventually executes.
Figure 11. The shellcode calling the entry point of the decrypted DLL file
The decrypted DLL file will execute another anti-analysis routine by loading incorrect libraries and other junk to detect sandboxes. This routine seems to be copied from a certain GitHub article.
Security/Virtual Machine/Sandbox DLL files
Real DLL files
Fake DLL files
cmdvrt.32.dll
kernel32.dll
NetProjW.dll
cmdvrt.64.dll
networkexplorer.dll
Ghofr.dll
cuckoomon.dll
NlsData0000.dll
fg122.dll
pstorec.dll
avghookx.dll
avghooka.dll
snxhk.dll
api_log.dll
dir_watch.dll
wpespy.dll
Table 1. The DLL files loaded to detect sandboxes
After performing the anti-analysis routine, the malware loads a set of PNG images from its resources section which contains an encrypted chunk of the core module and then decrypts them. Once the core payload has been decrypted, the Pikabot injector creates a suspended process (%System%\SearchProtocolHost) and injects the core module into it. The injector uses indirect system calls to hide its injection.
Figure 12. Loading the PNG images to build the core module
Resolving the necessary APIs is among the malware’s initial actions. Using a hash of each API (0xF4ACDD8, 0x03A5AF65E, and 0xB1D50DE4), Pikabot uses two functions to obtain the addresses of the three necessary APIs, GetProcAddress, LoadLibraryA, and HeapFree. This process is done by looking through kernel32.dll exports. The rest of the used APIs are resolved using GetProcAddress with decrypted strings. Other pertinent strings are also decrypted during runtime before they are used.
Figure 13. Harvesting the GetProcAddress and LoadLibrary API
The Pikabot core module checks the system’s languages and stops its execution if the language is any of the following:
Russian (Russia)
Ukrainian (Ukraine)
It will then ensure that only one instance of itself is running by creating a hard-coded mutex, {A77FC435-31B6-4687-902D-24153579C738}.
The next stage of the core module involves obtaining details about the victim’s system and forwarding them to a C&C server. The collected data uses a JSON format, with every data item using the wsprintfW function to fill its position. The stolen data will look like the image in Figure 13 but with the collected information before encryption:
Figure 14. Stolen information in JSON format before encryption
Pikabot seems to have a binary version and a campaign ID. The keys 0fwlm4g and v2HLF5WIO are present in the JSON data, with the latter seemingly being a campaign ID.
The malware creates a named pipe and uses it to temporarily store the additional information gathered by creating the following processes:
whoami.exe /all
ipconfig.exe /all
netstat.exe -aon
Each piece of information returned will be encrypted before the execution of the process.
A list of running processes on the system will also be gathered and encrypted by calling CreateToolHelp32Snapshot and listing processes through Process32First and Process32Next.
Once all the information is gathered, it will be sent to one of the following IP addresses appended with the specific URL, cervicobrachial/oIP7xH86DZ6hb?vermixUnintermixed=beatersVerdigrisy&backoff=9zFPSr:
70[.]34[.]209[.]101:13720
137[.]220[.]55[.]190:2223
139[.]180[.]216[.]25:2967
154[.]61[.]75[.]156:2078
154[.]92[.]19[.]139:2222
158[.]247[.]253[.]155:2225
172[.]233[.]156[.]100:13721
However, as of writing, these sites are inaccessible.
C&C servers and impact
As previously mentioned, Water Curupira conducts campaigns to drop backdoors such as Cobalt Strike, which leads to Black Basta ransomware attacks.It is this potential association with a sophisticated type of ransomware such as Black Basta that makes Pikabot campaigns particularly dangerous.
The threat actor also conducted several DarkGate spam campaigns and a small number of IcedID campaigns during the early weeks of the third quarter of 2023, but has since pivoted exclusively to Pikabot.
Lastly, we have observed distinct clusters of Cobalt Strike beacons with over 70 C&C domains leading to Black Basta, and which have been dropped via campaigns conducted by this threat actor.
Security recommendations
To avoid falling victim to various online threats such as phishing, malware, and scams, users should stay vigilant when it comes to emails they receive. The following are some best practices in user email security:
Always hover over embedded links with the pointer to learn where the link leads.
Check the sender’s identity. Unfamiliar email addresses, mismatched email and sender names, and spoofed company emails are signs that the sender has malicious intent.
If the email claims to come from a legitimate company, verify both the sender and the email content before downloading attachments or selecting embedded links.
Keep operating systems and all pieces of software updated with the latest patches.
Regularly back up important data to an external and secure location. This ensures that even if you fall victim to a phishing attack, you can restore your information.
A multilayered approach can help organizations guard possible entry points into their system (endpoint, email, web, and network). Security solutions can detect malicious components and suspicious behavior, which can help protect enterprises.
Trend Vision One™ provides multilayered protection and behavior detection, which helps block questionable behavior and tools before ransomware can do any damage.
Trend Cloud One™ – Workload Security protects systems against both known and unknown threats that exploit vulnerabilities. This protection is made possible through techniques such as virtual patching and machine learning.
Trend Micro™ Deep Discovery™ Email Inspector employs custom sandboxing and advanced analysis techniques to effectively block malicious emails, including phishing emails that can serve as entry points for ransomware.
Trend Micro Apex One™ offers next-level automated threat detection and response against advanced concerns such as fileless threats and ransomware, ensuring the protection of endpoints.
Indicators of Compromise (IOCs)
The indicators of compromise for this blog entry can be found here.
By: Jon Clay January 11, 2024 Read time: 4 min (970 words)
Trend Micro collaborates with INTERPOL to defend FIFA World Cup by preventing attacks & mitigating risks to fight against the rising threat of cybercrime.
The prominent sporting event, FIFA World Cup, concluded in December 2022, and it generated a lot of online engagements from millions of fans around the world. The remarkable penalty-shootout in the finals was hailed the champion of the event and it was a trending topic in social media and headline news. Before and during this event, the online users were rejoicing and betting their favorite teams at the same time cybercriminals were taking advantage of the event to deploy spam and scams. With this, law enforcement, and in particular, INTERPOL, had to step up and tapped its gateway partners to be on the lookout and report to them the cyberthreats surrounding the 2022 FIFA World Cup. Trend Micro helped by proactively monitoring our global threat intelligence that revealed many malicious websites and scams before and during the event. For example, we saw websites disguised as ticketing systems of the 2022 FIFA World Cup and many survey scams. We shared this information to INTERPOL, helping in their goal of preventing attacks and mitigating the risk posed by the fraudsters of this event. Furthermore, through our global threat intelligence, we monitored the detections of malicious websites and files from the country of Qatar as INTERPOL worked closely with them to prevent cybercriminals and malicious actors in disrupting the sporting event.
Let’s look a bit deeper into the different cyber threats we discovered and shared with INTERPOL, besides blocking them for our customers.
Malicious Websites found throughout 2022
Figure 1: Trend Micro detections of malicious sites bearing keywords of “FIFA” and “World Cup”Figure 2: Top affected countries of malicious sites related to FIFA World CupFigure 3: Timeline of FIFA World Cup Cyberthreats
Fake Ticketing System
It is no wonder due to the millions of potential victims that cybercriminals created dubious sites for selling tickets to the 2022 FIFA World Cup and trick users into inputting their personal information and credit card details in phishing attempts. We observed a few sites such as fifa-ticketssales[.]com and prime-ticketssales[.]com, both imitating the FIFA World Cup ticketing page and one showing an unbelievable number of sold tickets and remaining number of seats. We also identified contact details of scammers such as phone numbers and email addresses, some of these phone numbers were linked to other scam sites which is typical for scammers to reuse phone numbers.
Figure 4: Fake selling tickets of FIFA World CupFigure 5: Questionable number of tickets sold and used as lure to users
Fake Live Streaming
Cybercriminals created several fake streaming sites to lure victims to click on it. We identified around 40 unique domains that hosted fake streaming of FIFA World Cup. Example sites are watchvsportstv[.]com/2022-FIFA-WORLD-CUP-FINAL, sportshdlivetv[.]com/FIFA-WORLD-CUP-FINAL and istream2watch[.]stream/video/fifa-world-cup. From our analysis of these fake live streaming pages, the user will be redirected to websites with subscription forms or premium access requests and lure these users to subscribe and pay. Among the top countries detected were Brazil, Philippines, and Malaysia.
Survey Scams
Survey scams are relentless and scammers have been using them for a long time now. One we reported for example was https://www.theregister.com/2012/03/23/pinterest_attracts_scammers/. While the FIFA World Cup 2022 was ongoing, especially as we approached the semi-finals and final game, we observed malicious sites hosting survey scams that offered free 50GB mobile data. We identified more than 40 IP addresses or servers hosting the scam sites. Mostly were registered by Chinese names and hosted under Google LLC. Survey scams aim to trick users into obtaining free mobile data 50GB for a faster streaming of video or a free mobile network. It tricks users into inputting phone number and personal information thus in the end it will incur charges to the victims not knowing that it is a scam and may use their personal information for future spam or scams. Additionally, mostly it will redirect to fake dating sites and would require and harvest email address which can allow spammers to include them in their next wave of spam.
Figure 6: FIFA World Cup Survey scam that offers free mobile dataFigure 7: It requests for phone number which may lead to unwanted charges.Figure 8: Displays the offer is successful, however, it requires the user to share it in WhatsApp, thus propagating this survey scamFigure 9: Survey scam common web page title
Crypto scamming and malicious app
Based on external reports there were crypto scammers that leveraged the sporting event. We observed some scam sites such as cristiano-binance[.]xyz, binance[.]supply, football-blnance[.]com, football-binance[.]com, birance[.]online and birance[.]site that lure users to click on the button “Connect wallet” and will compromise the account. We also observed malicious app or Android RAT which was reported from https://twitter.com/ESETresearch/status/1596222440996311040https://blog.cyble.com/2022/12/09/threat-actors-targeting-fans-amid-fifa-world-cup-fever/ and it was called “ Kora 442” with malicious site kora442[.]com. It lured users to download the app “kora442.apk” and promised live and exclusive broadcasts of the 2022 FIFA World Cup. Example of hashes are 2299d4e4ba3e9c2643ee876bb45d6a976362ce3c, c66564b7f66f22ac9dd2e7a874c6874a5bb43a26, 9c904c821edaff095e833ee342aedfcaac337e04 and 60b1da6905857073c4c46e7e964699d9c7a74ec7. The package name is com.app.projectappkora and we detect it as AndroidOS_DummyColl.HRX. It steals information from the infected device and sends it to the Command &Control (C&C) server.
Figure 10: Fraudulent site potential hijacking of Crypto accountFigure 11: Malicious mobile app site with download request
Trend Micro’s mission has always been making the world safe for exchanging digital information and our support of INTERPOL and the 2022 FIFA World Cup gave us an opportunity to do exactly this. We’re proud of our continued support of INTERPOL, whether it is helping them with investigations of cybercriminals, or helping with a major worldwide sporting event. Our 34 years of experience in proactively identifying new threats and attacks and protecting users against them will continue in the future and we look forward to more engagements with law enforcement and organizations managing these events.
By: Trend Micro December 06, 2023 Read time: 4 min (971 words)
In this blog entry, we discuss predictions from Trend Micro’s team of security experts about the drivers of change that will figure prominently in 2024.
Digital transformations in the year ahead will be led by organizations pursuing a pioneering edge from the integration of emergent technologies. Advances in cloud technology, artificial intelligence and machine learning (AI/ML), and Web3 are poised to reshape the threat landscape, giving it new frontiers outside the purview of traditional defenses. However, these technological developments are only as efficient as the IT structures that support them. In 2024, business leaders will have to take measures to ensure that their organization’s systems and processes are equipped to stay in step with these modern solutions — not to mention the newfound security challenges that come with implementing and securing them.
As the new year draws closer, decision-makers will need to stay on top of key trends and priority areas in enterprise cybersecurity if they are to make room for growth and fend off any upcoming threats along their innovation journey. In this blog entry, we discuss predictions from Trend Micro’s team of security experts about the drivers of change that will figure prominently next year.
Misconfigurations will allow cybercriminals to scale up their attacks using cloud-native worms
Enterprises should come into 2024 prepared to ensure that their cloud resources can’t be turned against them in “living-off-the-cloud” attacks. Security teams need to closely monitor cloud environments in anticipation of cyberattacks that, tailored with worming capabilities, can also abuse cloud misconfigurations to gain a foothold in their targets and use rootkits for persistence. Cloud technologies like containerized applications are especially at risk as once infected, these can serve as a launchpad from which attackers can spread malicious payloads to other accounts and services. Given their ability to infect multiple containers at once, leverage vulnerabilities at scale, and automate various tasks like reconnaissance, exploitation, and achieving persistence, worms will endure as a prominent tactic among cybercriminals next year.
AI-generated media will give rise to more sophisticated social engineering scams
The gamut of use cases for generative AI will be a boon not only for enterprises but also for fraudsters seeking new ways of profiteering in 2024. Though they’re often behind the curve when it comes to new technologies, expect cybercriminals — swayed by the potential of lucrative pay — to incorporate AI-generated lures as part of their upgraded social engineering attacks. Notably, despite the shutdown of malicious large language model (LLM) tool WormGPT, similar tools could still emerge from the dark web. In the interim, cybercriminals will also continue to find other ways to circumvent the limitations of legitimate AI tools available online. In addition to their use of digital impostors that combine various AI-powered tools in emerging threats like virtual kidnapping, we predict that malicious actors will resort specifically to voice cloning in more targeted attacks.
The rising tide of data poisoning will be a scourge on ML models under training
Integrating machine-learning (ML) models into their operations promises to be a real game changer for businesses that are banking on the potential of these models to supercharge innovation and productivity. As we step into 2024, attempts to corrupt the training data of these models will start gaining ground. Threat actors will likely carry out these attacks by taking advantage of a model’s data-collection phase or by compromising its data storage or data pipeline infrastructure. Specialized models using focused datasets will also be more vulnerable to data poisoning than LLMs and generative AI models trained on extensive datasets, which will prompt security practitioners to pay closer attention to the risks associated with tapping into external resources for ML training data.
Attackers will take aim at software supply chains through their CI/CD pipelines
Software supply chains will have a target on their back in 2024, as cybercriminals will aim to infiltrate them through their continuous integration and delivery (CI/CD) systems. For example, despite their use in expediting software development, components and code sourced from third-party libraries and containers are not without security risks, such as lacking thorough security audits, containing malicious or outdated components, or harboring overlooked vulnerabilities that could open the door to code-injection attacks. The call for developers to be wary of anything sourced from third parties will therefore remain relevant next year. Similarly, to safeguard the resilience of critical software development pipelines and weed out bugs in the coming year, DevOps practitioners should exercise caution and conduct routine scans of any external code they plan to use.
New extortion schemes and criminal gangs will be built around the blockchain
Whereas public blockchains are hardened by continuous cyberattacks, the same can’t be said of their permissioned counterparts because of the latter’s centralized nature. This lack of hard-won resilience will drive malicious actors to develop new extortion business models specific to private blockchains next year. In such extortion operations, criminals could use stolen keys to insert malicious data or modify existing records on the blockchain and then demand a payoff to stay mum on the attack. Threat actors can also strong-arm their victims into paying the ransom by wresting control of enough nodes to encrypt an entire private blockchain. As for criminal groups, we predict that 2024 will see the debut of the first criminal organizations running entirely on blockchains with smart contract or decentralized autonomous organizations (DAOs).
Countering future cyberthreats
Truly transformative technologies inevitably cross the threshold into standard business operations. But as they make that transition from novel to industry norm, newly adopted tools and solutions require additional layers of protection if they are to contribute to an enterprise’s expansion. So long as their security stance is anchored on preparedness and due diligence, organizations stand to reap the benefits from a growing IT stack without exposing themselves to unnecessary risks. To learn more about the key security considerations and challenges that lie ahead for organizations and end users, read our report, “Critical Scalability: Trend Micro Security Predictions for 2024.”
Dirk Schrader Published: November 14, 2023 Updated: November 24, 2023
In the wake of escalating cyber-attacks and data breaches, the ubiquitous advice of “don’t share your password” is no longer enough. Passwords remain the primary keys to our most important digital assets, so following password security best practices is more critical than ever. Whether you’re securing email, networks, or individual user accounts, following password best practices can help protect your sensitive information from cyber threats.
Read this guide to explore password best practices that should be implemented in every organization — and learn how to protect vulnerable information while adhering to better security strategies.
The Secrets of Strong Passwords
A strong password is your first line of defense when it comes to protecting your accounts and networks. Implement these standard password creation best practices when thinking about a new password:
Complexity: Ensure your passwords contain a mix of uppercase and lowercase letters, numbers, and special characters. It should be noted that composition rules, such as lowercase, symbols, etc. are no longer recommended by NIST — so use at your own discretion.
Length: Longer passwords are generally stronger — and usually, length trumps complexity. Aim for at least 6-8 characters.
Unpredictability: Avoid using common phrases or patterns. Avoid using easily guessable information like birthdays or names. Instead, create unique strings that are difficult for hackers to guess.
Combining these factors makes passwords harder to guess. For instance, if a password is 8 characters long and includes uppercase letters, lowercase letters, numbers and special characters, the total possible combinations would be (26 + 26 + 10 + 30)^8. This astronomical number of possibilities makes it exceedingly difficult for an attacker to guess the password.
Of course, given NIST’s updated guidance on passwords, the best approach to effective password security is using a password manager — this solution will not only help create and store your passwords, but it will automatically reject common, easy-to-guess passwords (those included in password dumps). Password managers greatly increase security against the following attack types.
Password-Guessing Attacks
Understanding the techniques that adversaries use to guess user passwords is essential for password security. Here are some of the key attacks to know about:
Brute-Force Attack
In a brute-force attack, an attacker systematically tries every possible combination of characters until the correct password is found. This method is time-consuming but can be effective if the password is weak.
Strong passwords help thwart brute force attacks because they increase the number of possible combinations an attacker must try, making it unlikely they can guess the password within a reasonable timeframe.
Dictionary Attack
A dictionary attack is a type of brute-force attack in which an adversary uses a list of common words, phrases and commonly used passwords to try to gain access.
Unique passwords are essential to thwarting dictionary attacks because attackers rely on common words and phrases. Using a password that isn’t a dictionary word or a known pattern significantly reduces the likelihood of being guessed. For example, the string “Xc78dW34aa12!” is not in the dictionary or on the list of commonly used passwords, making it much more secure than something generic like “password.”
Dictionary Attack with Character Variations
In some dictionary attacks, adversaries also use standard words but also try common character substitutions, such as replacing ‘a’ with ‘@’ or ‘e’ with ‘3’. For example, in addition to trying to log on using the word “password”, they might also try the variant “p@ssw0rd”.
Choosing complex and unpredictable passwords is necessary to thwart these attacks. By using unique combinations and avoiding easily guessable patterns, you make it challenging for attackers to guess your password.
How Password Managers Enhance Security
Password managers are indispensable for securely storing and organizing your passwords. These tools offer several key benefits:
Security: Password managers store passwords and enter them for you, eliminating the need for users to remember them all. All users need to remember is the master password for their password manager tool. Therefore, users can use long, complex passwords as recommended by best practices without worrying about forgetting their passwords or resorting to insecure practices like writing passwords down or reusing the same password for multiple sites or applications.
Password generation: Password managers can generate a strong and unique password for user accounts, eliminating the need for individuals to come up with them.
Encryption: Password managers encrypt password vaults, ensuring the safety of data — even if it is compromised.
Convenience: Password managers enable users to easily access passwords across multiple devices.
When selecting a password manager, it’s important to consider your organization’s specific needs, such as support for the platforms you use, price, ease of use and vendor breach history. Conduct research and read reviews to identify the one that best aligns with your organization’s requirements. Some noteworthy options include Netwrix Password Secure, LastPass, Dashlane, 1Password and Bitwarden.
How Multifactor Authentication (MFA) Adds an Extra Layer of Security
Multifactor authentication strengthens security by requiring two or more forms of verification before granting access. Specifically, you need to provide at least two of the following authentication factors:
Something you know: The classic example is your password.
Something you have: Usually this is a physical device like a smartphone or security token.
Something you are: This is biometric data like a fingerprint or facial recognition.
MFA renders a stolen password worthless, so implement it wherever possible.
Password Expiration Management
Password expiration policies play a crucial role in maintaining strong password security. Using a password manager that creates strong passwords also has an influence on password expiration. If you do not use a password manager yet, implement a strategy to check all passwords within your organization; with a rise in data breaches, password lists (like the known rockyou.txt and its variations) used in brute-force attacks are constantly growing. The website haveibeenpawned.com offers a service to check whether a certain password has been exposed. Here’s what users should know about password security best practices related to password expiration:
Follow policy guidelines: Adhere to your organization’s password expiration policy. This includes changing your password when prompted and selecting a new, strong password that meets the policy’s requirements.
Set reminders: If your organization doesn’t enforce password expiration via notifications, set your own reminders to change your password when it’s due. Regularly check your email or system notifications for prompts.
Avoid obvious patterns: When changing your password, refrain from using variations of the previous one or predictable patterns like “Password1,” “Password2” and so on.
Report suspicious activity: If you notice any suspicious account activity or unauthorized password change requests, report them immediately to your organization’s IT support service or helpdesk.
Be cautious with password reset emails: Best practice for good password security means being aware of scams. If you receive an unexpected email prompting you to reset your password, verify its authenticity. Phishing emails often impersonate legitimate organizations to steal your login credentials.
Password Security and Compliance
Compliance standards require password security and password management best practices as a means to safeguard data, maintain privacy and prevent unauthorized access. Here are a few of the laws that require password security:
HIPAA (Health Insurance Portability and Accountability Act): HIPAA mandates that healthcare organizations implement safeguards to protect electronic protected health information (ePHI), which includes secure password practices.
PCI DSS (Payment Card Industry Data Security Standard): PCI DSS requires organizations that handle payment card data on their website to implement strong access controls, including password security, to protect cardholder data.
GDPR (General Data Protection Regulation): GDPR requires organizations that store or process the data of EU residents to implement appropriate security measures to protect personal data. Password security is a fundamental aspect of data protection under GDPR.
FERPA (Family Educational Rights and Privacy Act): FERPA governs the privacy of student education records. It includes requirements for securing access to these records, which involves password security.
Organizations subject to these compliance standards need to implement robust password policies and password security best practices. Failure to do so can result in steep fines and other penalties.
There are also voluntary frameworks that help organizations establish strong password policies. Two of the most well known are the following:
NIST Cybersecurity Framework: The National Institute of Standards and Technology (NIST) provides guidelines and recommendations, including password best practices, to enhance cybersecurity.
ISO 27001: ISO 27001 is an international standard for information security management systems (ISMSs). It includes requirements related to password management as part of its broader security framework.
Password Best Practices in Action
Now, let’s put these password security best practices into action with an example:
Suppose your name is John Doe and your birthday is December 10, 1985. Instead of using “JohnDoe121085” as your password (which is easily guessable), follow these good password practices:
Create a long, unique (and unguessable) password, such as: “M3an85DJ121!”
If you are looking to strengthen your security, follow these password best practices:
Remove hints or knowledge-based authentication: NIST recommends not using knowledge-based authentication (KBA), such as questions like “What town were you born in?” but instead, using something more secure, like two-factor authentication.
Encrypt passwords: Protect passwords with encryption both when they are stored and when they are transmitted over networks. This makes them useless to any hacker who manages to steal them.
Avoid clear text and reversible forms: Users and applications should never store passwords in clear text or any form that could easily be transformed into clear text. Ensure your password management routine does not use clear text (like in an XLS file).
Choose unique passwords for different accounts: Don’t use the same, or even variations, of the same passwords for different accounts. Try to come up with unique passwords for different accounts.
Use a password management: This can help select new passwords that meet security requirements, send reminders of upcoming password expiration, and help update passwords through a user-friendly interface.
Enforce strong password policies: Implement and enforce strong password policies that include minimum length and complexity requirements, along with a password history rule to prevent the reuse of previous passwords.
Update passwords when needed: You should be checking and – if the results indicate so – updating your passwords to minimize the risk of unauthorized access, especially after data breaches.
Monitor for suspicious activity: Continuously monitor your accounts for suspicious activity, including multiple failed login attempts, and implement account lockouts and alerts to mitigate threats.
Educate users: Conduct or partake in regular security awareness training to learn about password best practices, phishing threats, and the importance of maintaining strong, unique passwords for each account.
Implement password expiration policies: Enforce password expiration policies that require password changes at defined circumstances to enhance security.
How Netwrix Can Help
Adhering to password best practices is vital to safeguarding sensitive information and preventing unauthorized access.
Netwrix Password Secure provides advanced capabilities for monitoring password policies, detecting and responding to suspicious activity and ensuring compliance with industry regulations. With features such as real-time alerts, comprehensive reporting and a user-friendly interface, it empowers organizations to proactively identify and address password-related risks, enforce strong password policies, and maintain strong security across their IT environment.
Conclusion
In a world where cyber threats are constantly evolving, adhering to password management best practices is essential to safeguard your digital presence. First and foremost, create a strong and unique password for each system or application — remember that using a password manager makes it much easier to adhere to this critical best practice. In addition, implement multifactor authentication whenever possible to thwart any attacker who manages to steal your password. By following the guidelines, you can enjoy a safer online experience and protect your valuable digital assets.
Dirk Schrader is a Resident CISO (EMEA) and VP of Security Research at Netwrix. A 25-year veteran in IT security with certifications as CISSP (ISC²) and CISM (ISACA), he works to advance cyber resilience as a modern approach to tackling cyber threats. Dirk has worked on cybersecurity projects around the globe, starting in technical and support roles at the beginning of his career and then moving into sales, marketing and product management positions at both large multinational corporations and small startups. He has published numerous articles about the need to address change and vulnerability management to achieve cyber resilience.
The realm of Network Monitoring Tools, Software, and Vendors is Huge, to say the least. New software, tools, and utilities are being launched almost every year to compete in an ever-changing marketplace of IT monitoring, server monitoring, and system monitoring software.
I’ve test-driven, played with and implemented dozens during my career and this guide rounds up the best ones in an easy-to-read format and highlighted their main strengths and why I think they are in the top class of tools to use in your IT infrastructure and business.
Some of the features I am looking for are device discovery, uptime/downtime indicators, along with robust and thorough alerting systems (via email/SMS), NetFlow and SNMP Integration as well as considerations that are important with any software purchase such as ease of use and value for money.
The features from above were all major points of interest when evaluating software suites for this article and I’ll try to keep this article as updated as possible with new feature sets and improvements as they are released.
Here is our list of the top network monitoring tools:
Auvik – EDITOR’S CHOICE This cloud platform provides modules for LAN monitoring, Wi-Fi monitoring, and SaaS system monitoring. The network monitoring package discovers all devices, maps the network, and then implements automated performance tracking. Get a 14-day free trial.
SolarWinds Network Performance Monitor – FREE TRIAL The leading network monitoring system that uses SNMP to check on network device statuses. This monitoring tool includes autodiscovery that compiles an asset inventory and automatically draws up a network topology map. Runs on Windows Server. Start 30-day free trial.
Checkmk – FREE TRIAL This hybrid IT infrastructure monitoring package includes a comprehensive network monitor that provides device status tracking and traffic analysis functions via the integration with ntop. Available as a Linux install package, Docker package, appliance and cloud application available in cloud marketplaces. Get a 30-day free trial.
Datadog Network Monitoring – FREE TRIAL Provides good visibility over each of the components of your network and the connections between them – be it cloud, on-premises or hybrid environment. Troubleshoot infrastructure, apps and DNS issues effortlessly.
ManageEngine OpManager – FREE TRIAL An SNMP-based network monitor that has great network topology layout options, all based on an autodiscovery process. Installs on Windows Server and Linux.
NinjaOne RMM – FREE TRIAL This cloud-based system provides remote monitoring and management for managed service providers covering the systems of their clients.
Site24x7 Network Monitoring – FREE TRIAL A cloud-based monitoring system for networks, servers, and applications. This tool monitors both physical and virtual resources.
Atera – FREE TRIAL A cloud-based package of remote monitoring and management tools that include automated network monitoring and a network mapping utility.
Below you’ll find an updated list of the Latest Tools & Software to ensure your network is continuously tracked and monitored at all times of the day to ensure the highest up-times possible. Most of them have free Downloads or Trials to get you started for 15 to 30 days to ensure it meets your requirements.
What should you look for in network monitoring tools?
We reviewed the market for network monitoring software and analyzed the tools based on the following criteria:
An automated service that can perform network monitoring unattended
A device discovery routine that automatically creates an asset inventory
A network mapping service that shows live statuses of all devices
Alerts for when problems arise
The ability to communicate with network devices through SNMP
A free trial or a demo for a no-cost assessment
Value for money in a package that provides monitoring for all network devices at a reasonable price
With these selection criteria in mind, we have defined a shortlist of suitable network monitoring tools for all operating systems.
Auvik is a SaaS platform that offers a network discovery and mapping system that automates enrolment and then continues to operate in order to spot changes in network infrastructure. This system is able to centralize and unify the monitoring of multiple sites.
Key Features:
A SaaS package that includes processing power and storage space for system logs as well as the monitoring software
Centralizes the monitoring of networks on multiple sites
Watches over network device statuses
Offers two plans: Essential and Performance
Network traffic analysis included in the higher plan
Monitors virtual LANs as well as physical networks
Autodiscovery service
Network mapping
Alerts for automated monitoring
Integrations with third-party complimentary systems
Why do we recommend it?
Auvik is a cloud-based network monitoring system. It reaches into your network, identifies all connected devices, and then creates a map. While SolarWinds Network Performance Monitor also performs those tasks, Auvik is a much lighter tool that you don’t have to host yourself and you don’t need deep technical knowledge to watch over a network with this automated system.
Auvik’s network monitoring system is automated, thanks to its system of thresholds. The service includes out-of-the-box thresholds that are placed on most of the metrics that the network monitor tracks. It is also possible to create custom thresholds.
Once the monitoring service is operating, if any of the thresholds are crossed, the system raises an alert. This mechanism allows technicians to get on with other tasks, knowing that the thresholds give them time to avert system performance problems that would be noticeable to users.
Network management tools that are included in the Auvik package include configuration management to standardize the settings of network devices and prevent unauthorized changes.
The processing power for Auvik is provided by the service’s cloud servers. However, the system requires collectors to be installed on each monitored site. This software runs on Windows Server and Ubuntu Linux. It is also possible to run the collector on a VM. Wherever the collector is located, the system manager still accesses the service’s console, which is based on the Auvik server, through any standard Web browser.
Who is it recommended for?
Smaller businesses that don’t have a team to support IT would benefit from Auvik. It needs no software maintenance and the system provides automated alerts when issues arise, so your few IT staff can get on with supporting other resources while Auvik looks after the network.
PROS:
A specialized network monitoring tool
Additional network management utilities
Configuration management included
A cloud-based service that is accessible from anywhere through any standard Web browser
Data collectors for Windows Server and Ubuntu Linux
CONS:
The system isn’t expandable with any other Auvik modules
Auvik doesn’t publish its prices by you can access a 14-day free trial.
EDITOR’S CHOICE
Auvik is our top pick for a network monitoring tool because it is a hosted SaaS package that provides all of your network monitoring needs without you needing to maintain the software. The Auvik platform installs an agent on your site and then sets itself up by scanning the network and identifying all devices. The inventory that this system generates gives you details of all of your equipment and provides a basis for network topology maps. Repeated checks on the network gather performance statistics and if any metric crosses a threshold, the tool will generate an alert. You can centralize the monitoring of multiple sites with this service.
PRTG Network Monitor software is commonly known for its advanced infrastructure management capabilities. All devices, systems, traffic, and applications in your network can be easily displayed in a hierarchical view that summarizes performance and alerts. PRTG monitors the entire IT infrastructure using technology such as SNMP, WMI, SSH, Flows/Packet Sniffing, HTTP requests, REST APIs, Pings, SQL, and a lot more.
Key Features:
Autodiscovery that creates and maintains a device inventory
Live network topology maps are available in a range of formats
Monitoring for wireless networks as well as LANs
Multi-site monitoring capabilities
SNMP sensors to gather device health information
Ping to check on device availability
Optional extra sensors to monitor servers and applications
System-wide status overviews and drill-down paths for individual device details
A protocol analyzer to identify high-traffic applications
A packet sniffer to collect packet headers for analysis
Color-coded graphs of live data in the system dashboard
Capacity planning support
Alerts on device problems, resource shortages, and performance issues
Notifications generated from alerts that can be sent out by email or SMS
Available for installation on Windows Server or as a hosted cloud service
Why do we recommend it?
Paessler PRTG Network Monitor is a very flexible package. Not only does it monitor networks, but it can also monitor endpoints and applications. The PRTG system will discover and map your network, creating a network inventory, which is the basis for automated monitoring. You put together your ideal monitoring system by choosing which sensors to turn on. You pay for an allowance of sensors.
It is one of the best choices for organizations with low experience in network monitoring software. The user interface is really powerful and very easy to use.
A very particular feature of PRTG is its ability to monitor devices in the data center with a mobile app. A QR code that corresponds to the sensor is printed out and attached to the physical hardware. The mobile app is used to scan the code and a summary of the device is displayed on the mobile screen.
In summary, Paessler PRTG is a flexible package of sensors that you can tailor to your own needs by deciding which monitors to activate. The SNMP-based network performance monitoring routines include an autodiscovery system that generates a network asset inventory and topology maps. You can also activate traffic monitoring features that can communicate with switches through NetFlow, sFlow, J-Flow, and IPFIX. QoS and NBAR features enable you to keep your time-sensitive applications working properly.
Who is it recommended for?
PRTG is available in a Free edition, which is limited to 100 sensors. This is probably enough to support a small network. Mid-sized and large organizations should be interested in paying for larger allowances of sensors. The tool can even monitor multiple sites from one location.
PROS:
Uses a combination of packet sniffing, WMI, and SNMP to report network performance data
Fully customizable dashboard is great for both lone administrators as well as NOC teams
Drag and drop editor makes it easy to build custom views and reports
Supports a wide range of alert mediums such as SMS, email, and third-party integrations into platforms like Slack
Each sensor is specifically designed to monitor each application, for example, there are prebuilt sensors whose specific purpose is to capture and monitor VoIP activity
Supports a freeware version
CONS:
Is a very comprehensive platform with many features and moving parts that require time to learn
PRTG has a very flexible pricing plan, to get an idea visit their official pricing webpage below. It is free to use for up to 50 sensors. Beyond that you get a 30-day free trial to figure out your network requirements.
SolarWinds Network Performance Monitor is easy to setup and can be ready in no time. The tool automatically discovers network devices and deploys within an hour. Its simple approach to oversee an entire network makes it one of the easiest to use and most intuitive user interfaces.
Key Features:
Automatically Network Discovery and Scanning for Wired and Wifi Computers and Devices
Support for Wide Array of OEM Vendors
Forecast and Capacity Planning
Quickly Pinpoint Issues with Network Performance with NetPath™ Critical Path visualization feature
Easy to Use Performance Dashboard to Analyze Critical Data points and paths across your network
Robust Alerting System with options for Simple/Complex Triggers
Monitor Hardware Health of all Servers, Firewalls, Routers, Switches, Desktops, laptops and more
Real-Time Network and Netflow Monitoring for Critical Network Components and Devices
Why do we recommend it?
SolarWinds Network Performance Monitor is the leading network monitoring tool in the world and this is the system that the other monitor providers are chasing. Like many other network monitors, this system uses the Simple Network Management Protocol (SNMP) to gather reports on network devices. The strength of SolarWinds lies in the deep technical knowledge of its support advisors, which many other providers lack.
The product is highly customizable and the interface is easy to manage and change very quickly. You can customize the web-based performance dashboards, charts, and views. You can design a tailored topology for your entire network infrastructure. You can also create customized dependency-aware intelligent alerts and much more.
The software is sold by separate modules based on what you use. SolarWinds Network Performance Monitor Price starts from $1,995 and is a one-time license including 1st-year maintenance.
SolarWinds NPM has an Extensive Feature list that make it One of the Best Choices for Network Monitoring Solutions
SolarWinds NPM is able to track the performance of networks autonomously through the use of SNMP procedures, producing alerts when problems arise. Alerts are generated if performance dips and also in response to emergency notifications sent out by device agents. This system means that technicians don’t have to watch the monitoring screen all the time because they know that they will be drawn back to fix problems by an email or SMS notification.
NetPath Screenshot
Who is it recommended for?
SolarWinds Network Performance Monitor is an extensive network monitoring system and it is probably over-engineered for use by a small business. Mid-sized and large companies would benefit from using this tool.
PROS:
Supports auto-discovery that builds network topology maps and inventory lists in real-time based on devices that enter the network
Has some of the best alerting features that balance effectiveness with ease of use
Supports both SNMP monitoring as well as packet analysis, giving you more control over monitoring than similar tools
Uses drag and drop widgets to customize the look and feel of the dashboard
Tons of pre-configured templates, reports, and dashboard views
CONS:
This is a feature-rich enterprise tool designed for sysadmin, non-technical users may some features overwhelming
Checkmk is an IT asset monitoring package that has the ability to watch over networks, servers, services, and applications. The network monitoring facilities in this package provide both network device status tracking and network traffic monitoring.
Features of this package include:
Device discovery that cycles continuously, spotting new devices and removing retired equipment
Creation of a network inventory
Registration of switches, routers, firewalls, and other network devices
Creation of a network topology map
Continuous device status monitoring with SNMP
SNMP feature report focus for small businesses
Performance thresholds with alerts
Wireless network monitoring
Protocol analysis
Traffic throughput statistics per link
Switch port monitoring
Gateway transmission speed tracking
Network traffic data extracted with ntop
Can monitor a multi-vendor environment
Why do we recommend it?
The Checkmk combination of network device monitoring and traffic monitoring in one tool is rare. Most network monitoring service creators split those two functions so that you have to buy two separate packages. The Checkmk system also gives you application and server monitoring along with the network monitoring service.
The Checkmk system is easy to set up, thanks to its autodiscovery mechanism. This is based on SNMP. The program will act as an SNMP Manager, send out a broadcast requesting reports from device agents, and then compile the results into an inventory. The agent is the Checkmk package itself if you choose to install the Linux version or it is embedded on a device if you go for the hardware option. If you choose the Checkmk Cloud SaaS option, that platform will install an agent on one of your computers.
The SNMP Manager constantly re-polls for device reports and the values in these appear in the Checkmk device monitoring screen. The platform also updates its network inventory according to the data sent back by device agents in each request/response round. The dashboard also generates a network topology map from information in the inventory. So, that map updates whenever the inventory changes.
While gathering information through SNMP, the tool also scans the headings of passing packets on the network to compile traffic statistics. Basically, the tool provides a packet count which enables it to quickly calculate a traffic throughput rate. Data can also be segmented per protocol, according to the TCP port number in each header.
Who is it recommended for?
Checkmk has a very wide appeal because of its three editions. Checkmk Raw is free and will appeal to small businesses. This is an adaptation of Nagios Core. The paid version of the system is called Checkmk Enterprise and that is designed for mid-sized and large businesses. Checkmk Cloud is a SaaS option.
PROS:
Provides both network device monitoring and traffic tracking
Automatically discovers devices and creates a network inventory
Free version available
Options for on-premises or SaaS delivery
Monitors wireless networks as well as LANs
Available for installation on Linux or as an appliance
Datadog Network Monitoring supervises the performance of network devices. The service is a cloud-based system that is able to explore a network and detect all connected devices. With the information from this research, the network monitor will create an asset inventory and draw up a network topology map. This procedure means that the system performs its own setup routines.
Features of this package include:
Monitors networks anywhere, including remote sites
Joins together on-premises and cloud-based resource monitoring
Integrates with other Datadog modules, such as log management
Offers an overview of all network performance and drill-down details of each device
Facilitates troubleshooting by identifying performance dependencies
Includes DNS server monitoring
Gathers SNMP device reports
Blends performance data from many information sources
Includes data flow monitoring
Offers tag-based packet analysis utilities in the dashboard
Integrates protocol analyzers
Performance threshold baselining based on machine learning
Alerts for warnings over evolving performance issues
Datadog Network Monitoring services are split into two modules that are part of a cloud platform of many system monitoring and management tools. These two packages are called Network Performance Monitoring and Network Device Monitoring, which are both subscription services. While the device monitoring package works through SNMP, the performance monitor measures network traffic levels.
The autodiscovery process is ongoing, so it spots any changes you make to your network and instantly updates the inventory and the topology map. The service can also identify virtual systems and extend monitoring of links out to cloud resources.
Datadog Network Monitoring provides end-to-end visibility of all connections, which are also correlated with performance issues highlighted in log messages. The dashboard for the system is resident in the cloud and accessed through any standard browser. This centralizes network performance data from many sources and covers the entire network, link by link and end to end.
You can create custom graphs, metrics, and alerts in an instant, and the software can adjust them dynamically based on different conditions. Datadog prices start from free (up to five hosts), Pro $15/per host, per month and Enterprise $23 /per host, per month.
Who is it recommended for?
The two Datadog network monitoring packages are very easy to sign up for. They work well together to get a complete view of network activities. The pair will discover all of the devices on your network and map them, then startup automated monitoring. These are very easy-to-use systems that are suitable for use by any size of business.
PROS:
Has one of the most intuitive interfaces among other network monitoring tools
Cloud-based SaaS product allows monitoring with no server deployments or onboarding costs
Can monitor both internally and externally giving network admins a holistic view of network performance and accessibility
Supports auto-discovery that builds network topology maps on the fly
Changes made to the network are reflected in near real-time
Allows businesses to scale their monitoring efforts reliably through flexible pricing options
CONS:
Would like to see a longer trial period for testing
At its core, ManageEngine OpManager is infrastructure management, network monitoring, and application performance management “APM” (with APM plug-in) software.
Key Features:
Includes server monitoring as well as network monitoring
Autodiscovery function for automatic network inventory assembly
Constant checks on device availability
A range of network topology map options
Automated network mapping
Performs an SNMP manager role, constantly polling for device health statuses
Receives SNMP Traps and generates alerts when device problems arise
Implements performance thresholds and identifies system problems
Watches over resource availability
Customizable dashboard with color-coded dials and graphs of live data
Forwards alerts to individuals by email or SMS
Available for Windows Server and Linux
Can be enhanced by an application performance monitor to create a full stack supervisory system
Free version available
Distributed version to supervise multiple sites from one central location
Why do we recommend it?
ManageEngine OpManager is probably the biggest threat to SolarWind’s leading position. This package monitors servers as well as networks. This makes it a great system for monitoring virtualizations.
When it comes to network management tools, this product is well balanced when it comes to monitoring and analysis features.
The solution can manage your network, servers, network configuration, and fault & performance; It can also analyze your network traffic. To run Manage Engine OpManager, it must be installed on-premises.
A highlight of this product is that it comes with pre-configured network monitor device templates. These contain pre-defined monitoring parameters and intervals for specific device types. The essential edition product can be purchased for $595 which allows up to 25 devices.
Who is it recommended for?
A nice feature of OpManager is that it is available for Linux as well as Windows Server for on-premises installation and it can also be used as a service on AWS or Azure for businesses that don’t want to run their own servers. The pricing for this package is very accessible for mid-sized and large businesses. Small enterprises with simple networks should use the Free edition, which is limited to covering a network with three connected devices.
PROS:
Designed to work right away, features over 200 customizable widgets to build unique dashboards and reports
Leverages autodiscovery to find, inventory, and map new devices
Uses intelligent alerting to reduce false positives and eliminate alert fatigue across larger networks
Supports email, SMS, and webhook for numerous alerting channels
Integrates well in the ManageEngine ecosystem with their other products
CONS:
Is a feature-rich tool that will require a time investment to properly learn
NinjaOne is a remote monitoring and management (RMM) package for managed service providers (MSPs). The system reaches out to each remote network through the installation of an agent on one of its endpoints. The agent acts as an SNMP Manager.
Key Features:
Based on the Simple Network Management Protocol
SNMP v1, 2, and 3
Device discovery and inventory creation
Continuous status polling for network devices and endpoints
Live traffic data with NetFlow, IPFIX, J-Flow, and sFlow
Traffic throughput graphs
Customizable detail display
Performance graphs
Switch port mapper
Device availability checks
Syslog processing for device status reports
Customizable alerts
Notifications by SMS or email
Related endpoint monitoring and management
Why do we recommend it?
NinjaOne RMM enables each technician to support multiple networks simultaneously. The alerting mechanism in the network monitoring service means that you can assume that everything is working fine on a client’s system unless you receive a notification otherwise. The network tracking service sets itself up automatically with a discovery routine.
The full NinjaOne RMM package provides a full suite of tools for administering a client’s system. The network monitoring service is part of that bundle along with endpoint monitoring and patch management.
The Ninja One system onboards a new client site automatically through a discovery service that creates both hardware and software inventories. The data for each client is kept separate in a subaccount. Technicians that need access to that client’s system for investigation need to be set up with credentials.
The network monitoring system provides both device status tracking and network traffic analysis. The service provides notifications if a dive goes offline or throughput drops.
Who is it recommended for?
This service is built with a multi-tenant architecture for use by managed service providers. However, IT departments can also use the system to manage their own networks and endpoints. The service is particularly suitable for simultaneously monitoring multiple sites. The console for the RMM is based in the cloud and accessed through any standard Web browser.
PROS:
A cloud-based package that onboards sites through the installation of an agent
Auto discovery for network devices and endpoints
Network device status monitoring
Network traffic analysis
Syslog message scanning
CONS:
No price list
NinjaOne doesn’t publish a price list so you start your buyer’s journey by accessing a 14-day free trial.
Site24x7 is a monitoring service that covers networks, servers, and applications. The network monitoring service in this package starts off by exploring the network for connected devices. IT logs its findings in a network inventory and draws up a network topology map.
Key Features:
A hosted cloud-based service that includes CPU time and performance data storage space
Can unify the monitoring of networks on site all over the world
Uses SNMP to check on device health statuses
Gives alerts on resource shortages, performance issues, and device problems
Generates notifications to forward alerts by email or SMS
Root cause analysis features
Autodiscovery for a constantly updated network device inventory
Automatic network topology mapping
Includes internet performance monitoring for utilities such as VPNs
Specialized monitoring routines for storage clusters
Monitors boundary and edge services, such as load balancers
Offers overview and detail screens showing the performance of the entire network and also individual devices
Includes network traffic flow monitoring
Facilities for capacity planning and bottleneck identification
Integrates with application monitoring services to create a full stack service
Why do we recommend it?
Site24x7 Network Monitoring is part of a platform that is very similar to Datadog. A difference lies in the number of modules that Site24x7 offers – it has far fewer than Datadog. Site24x7 bundles its modules into packages with almost all plans providing monitoring for networks, servers, services, applications, and websites. Site24x7 was originally developed to be a SaaS plan for ManageEngine but then was split out into a separate brand, so there is very solid expertise behind this platform.
The Network Monitor uses procedures from the Simple Network Management Protocol (SNMP) to poll devices every minute for status reports. Any changes in the network infrastructure that are revealed by these responses update the inventory and topology map.
The results of the device responses are interpreted into live data in the dashboard of the monitor. The dashboard is accessed through any standard browser and its screens can be customized by the user.
The SNMP system empowers device agents to send out a warning without waiting for a request if it detects a problem with the device that it is monitoring. Site24x7 Infrastructure catches these messages, which are called Traps, and generates an alert. This alert can be forwarded to technicians by SMS, email, voice call, or instant messaging post.
The Network Monitor also has a traffic analysis function. This extracts throughput figures from switches and routers and displays data flow information in the system dashboard. This data can also be used for capacity planning.
Who is it recommended for?
The plans for Site24x7 are very reasonably priced, which makes them accessible to businesses of all sizes. Setup for the system is automated and much of the ongoing monitoring processes are carried out without any manual intervention.
PROS:
One of the most holistic monitoring tools available, supporting networks, infrastructure, and real user monitoring in a single platform
Uses real-time data to discover devices and build charts, network maps, and inventory reports
Is one of the most user-friendly network monitoring tools available
User monitoring can help bridge the gap between technical issues, user behavior, and business metrics
Supports a freeware version for testing
CONS:
Is a very detailed platform that will require time to fully learn all of its features and options
Site24x7 costs $9 per month when paid annually. It is available for a free trial.
Atera is a package software that was built for managed service providers. It is a SaaS platform and it includes professional service automation (PSA) and remote monitoring and management (RMM) systems.
Why do we recommend it?
Atera is a package of tools for managed service providers (MSPs). Alongside remote network monitoring capabilities, this package provides automated monitoring services for all IT operations. The package also includes some system management tools, such as a patch manager. Finally, the Atera platform offers Professional Services Automation (PSA) tools to help the managers of MSPs to run their businesses.
The network monitoring system operates remotely through an agent that installs on Windows Server. The agent enables the service to scour the network and identify all of the network devices that run it. This is performed using SNMP, with the agent acting as the SNMP Manager.
The SNMP system enables the agent to spot Traps, which warn of device problems. These are sent to the Atera network monitoring dashboard, where they appear as alerts. Atera offers an automated topology mapping service, but this is an add-on to the main subscription packages.
Who is it recommended for?
Atera charges for its platform per technician, so it is very affordable for MSPs of all sizes. This extends to sole technicians operating on a contract basis and possibly fielding many small business clients.
ManageEngine RMM Central provides sysadmins with everything they need to support their network. Automated asset discovery makes deployment simple, allowing you to collect all devices on your network by the end of the day.
Key Features
Automated network monitoring and asset discovery
Built-in remote access with various troubleshooting tools
Flexible alert integrations
With network and asset metrics collected, administrators can quickly see critical insights automatically generated by the platform. With over 100 automated reports it’s easy to see exactly where your bottlenecks are and what endpoints are having trouble.
Administrators can configure their own SLAs with various automated alert options and even pair those alerts with other automation that integrate into their helpdesk workflow.
PROS:
Uses a combination of packet sniffing, WMI, and SNMP to report network performance data
Fully customizable dashboard is great for both lone administrators as well as NOC teams
Drag and drop editor makes it easy to build custom views and reports
Supports a wide range of alert mediums such as SMS, email, and third-party integrations into platforms like Slack
CONS:
Is a very comprehensive platform with many features and moving parts that require time to learn
By: Salim S.I. September 20, 2023 Read time: 8 min (2105 words)
Crafted packets from cellular devices such as mobile phones can exploit faulty state machines in the 5G core to attack cellular infrastructure. Smart devices that critical industries such as defense, utilities, and the medical sectors use for their daily operations depend on the speed, efficiency, and productivity brought by 5G. This entry describes CVE-2021-45462 as a potential use case to deploy a denial-of-service (DoS) attack to private 5G networks.
5G unlocks unprecedented applications previously unreachable with conventional wireless connectivity to help enterprises accelerate digital transformation, reduce operational costs, and maximize productivity for the best return on investments. To achieve its goals, 5G relies on key service categories: massive machine-type communications (mMTC), enhanced mobile broadband (eMBB), and ultra-reliable low-latency communication (uRLLC).
With the growing spectrum for commercial use, usage and popularization of private 5G networks are on the rise. The manufacturing, defense, ports, energy, logistics, and mining industries are just some of the earliest adopters of these private networks, especially for companies rapidly leaning on the internet of things (IoT) for digitizing production systems and supply chains. Unlike public grids, the cellular infrastructure equipment in private 5G might be owned and operated by the user-enterprise themselves, system integrators, or by carriers. However, given the growing study and exploration of the use of 5G for the development of various technologies, cybercriminals are also looking into exploiting the threats and risks that can be used to intrude into the systems and networks of both users and organizations via this new communication standard. This entry explores how normal user devices can be abused in relation to 5G’s network infrastructure and use cases.
5G topology
In an end-to-end 5G cellular system, user equipment (aka UE, such as mobile phones and internet-of-things [IoT] devices), connect to a base station via radio waves. The base station is connected to the 5G core through a wired IP network.
Functionally, the 5G core can be split into two: the control plane and the user plane. In the network, the control plane carries the signals and facilitates the traffic based on how it is exchanged from one endpoint to another. Meanwhile, the user plane functions to connect and process the user data that comes over the radio area network (RAN).
The base station sends control signals related to device attachment and establishes the connection to the control plane via NGAP (Next-Generation Application Protocol). The user traffic from devices is sent to the user plane using GTP-U (GPRS tunneling protocol user plane). From the user plane, the data traffic is routed to the external network.
Figure 1. The basic 5G network infrastructure
The UE subnet and infrastructure network are separate and isolated from each other; user equipment is not allowed to access infrastructure components. This isolation helps protect the 5G core from CT (Cellular Technology) protocol attacks generated from users’ equipment.
Is there a way to get past this isolation and attack the 5G core? The next sections elaborate on the how cybercriminals could abuse components of the 5G infrastructure, particularly the GTP-U.
GTP-U
GTP-U is a tunneling protocol that exists between the base station and 5G user plane using port 2152. The following is the structure of a user data packet encapsulated in GTP-U.
Figure 2. GTP-U data packet
A GTP-U tunnel packet is created by attaching a header to the original data packet. The added header consists of a UDP (User Datagram Protocol) transport header plus a GTP-U specific header. The GTP-U header consists of the following fields:
Flags: This contains the version and other information (such as an indication of whether optional header fields are present, among others).
Message type: For GTP-U packet carrying user data, the message type is 0xFF.
Length: This is the length in bytes of everything that comes after the Tunnel Endpoint Identifier (TEID) field.
TEID: Unique value for a tunnel that maps the tunnel to user devices
The GTP-U header is added by the GTP-U nodes (the base station and User Plane Function or UPF). However, the user cannot see the header on the user interface of the device. Therefore, user devices cannot manipulate the header fields.
Although GTP-U is a standard tunneling technique, its use is mostly restricted to CT environments between the base station and the UPF or between UPFs. Assuming the best scenario, the backhaul between the base station and the UPF is encrypted, protected by a firewall, and closed to outside access. Here is a breakdown of the ideal scenario: GSMArecommends IP security (IPsec) between the base station and the UPF. In such a scenario, packets going to the GTP-U nodes come from authorized devices only. If these devices follow specifications and implement them well, none of them will send anomalous packets. Besides, robust systems are expected to have strong sanity checks to handle received anomalies, especially obvious ones such as invalid lengths, types, and extensions, among others.
In reality, however, the scenario could often be different and would require a different analysis altogether. Operators are reluctant to deploy IPsec on the N3 interface because it is CPU-intensive and reduces the throughput of user traffic. Also, since the user data is perceived to be protected at the application layer (with additional protocols such as TLS or Transport Layer Security), some consider IP security redundant. One might think that for as long as the base station and packet-core conform to the specific, there will be no anomalies. Besides, one might also think that for all robust systems require sanity checks to catch any obvious anomalies. However, previous studies have shown that many N3 nodes (such as UPF) around the world, although they should not be, are exposed to the internet. This is shown in the following sections.
Figure 3. Exposed UPF interfaces due to misconfigurations or lack of firewalls; screenshot taken from Shodan and used in a previously published research
We discuss two concepts that can exploit the GTP-U using CVE-2021-45462. In Open5GS, a C-language open-source implementation for 5G Core and Evolved Packet Core (EPC), sending a zero-length, type=255 GTP-U packet from the user device resulted in a denial of service (DoS) of the UPF. This is CVE-2021-45462, a security gap in the packet core that can crash the UPF (in 5G) or Serving Gateway User Plane Function (SGW-U in 4G/LTE) via an anomalous GTP-U packet crafted from the UE and by sending this anomalous GTP-U packet in the GTP-U. Given that the exploit affects a critical component of the infrastructure and cannot be resolved as easily, the vulnerability has received a Medium to High severity rating.
GTP-U nodes: Base station and UPF
GTP-U nodes are endpoints that encapsulate and decapsulate GTP-U packets. The base station is the GTP-U node on the user device side. As the base station receives user data from the UE, it converts the data to IP packets and encapsulates it in the GTP-U tunnel.
The UPF is the GTP-U node on the 5G core (5GC) side. When it receives a GTP-U packet from the base station, the UPF decapsulates the outer GTP-U header and takes out the inner packet. The UPF looks up the destination IP address in a routing table (also maintained by the UPF) without checking the content of the inner packet, after which the packet is sent on its way.
GTP-U in GTP-U
What if a user device crafts an anomalous GTP-U packet and sends it to a packet core?
Figure 4. A specially crafted anomalous GTP-U packetFigure 5. Sending an anomalous GTP-U packet from the user device
As intended, the base station will tunnel this packet inside its GTP-U tunnel and send to the UPF. This results in a GTP-U in the GTP-U packet arriving at the UPF. There are now two GTP-U packets in the UPF: The outer GTP-U packet header is created by the base station to encapsulate the data packet from the user device. This outer GTP-U packet has 0xFF as its message type and a length of 44. This header is normal. The inner GTP-U header is crafted and sent by the user device as a data packet. Like the outer one, this inner GTP-U has 0xFF as message type, but a length of 0 is not normal.
The source IP address of the inner packet belongs to the user device, while the source IP address of the outer packet belongs to the base station. Both inner and outer packets have the same destination IP address: that of the UPF.
The UPF decapsulates the outer GTP-U and passes the functional checks. The inner GTP-U packet’s destination is again the same UPF. What happens next is implementation-specific:
Some implementations maintain a state machine for packet traversal. Improper implementation of the state machine might result in processing this inner GTP-U packet. This packet might have passed the checks phase already since it shares the same packet-context with the outer packet. This leads to having an anomalous packet inside the system, past sanity checks.
Since the inner packet’s destination is the IP address of UPF itself, the packet might get sent to the UPF. In this case, the packet is likely to hit the functional checks and therefore becomes less problematic than the previous case.
Attack vector
Some 5G core vendors leverage Open5GS code. For example, NextEPC (4G system, rebranded as Open5GS in 2019 to add 5G, with remaining products from the old brand) has an enterprise offer for LTE/5G, which draws from Open5GS’ code. No attacks or indications of threats in the wild have been observed, but our tests indicate potential risks using the identified scenarios.
The importance of the attack is in the attack vector: the cellular infrastructure attacks from the UE. The exploit only requires a mobile phone (or a computer connected via a cellular dongle) and a few lines of Python code to abuse the opening and mount this class of attack. The GTP-U in GTP-U attacks is a well-knowntechnique, and backhaul IP security and encryption do not prevent this attack. In fact, these security measures might hinder the firewall from inspecting the content.
Remediation and insights
Critical industries such as the medical and utility sectors are just some of the early adopters of private 5G systems, and its breadth and depth of popular use are only expected to grow further. Reliability for continuous, uninterrupted operations is critical for these industries as there are lives and real-world implications at stake. The foundational function of these sectors are the reason that they choose to use a private 5G system over Wi-Fi. It is imperative that private 5G systems offer unfailing connectivity as a successful attack on any 5G infrastructure could bring the entire network down.
In this entry, the abuse of CVE-2021-45462 can result in a DoS attack. The root cause of CVE-2021-45462 (and most GTP-U-in-GTP-U attacks) is the improper error checking and error handling in the packet core. While GTP-U-in-GTP-U itself is harmless, the proper fix for the gap has to come from the packet-core vendor, and infrastructure admins must use the latest versions of the software.
A GTP-U-in-GTP-U attack can also be used to leak sensitive information such as the IP addresses of infrastructure nodes. GTP-U peers should therefore be prepared to handle GTP-U-in-GTP-U packets. In CT environments, they should use an intrusion prevention system (IPS) or firewalls that can understand CT protocols. Since GTP-U is not normal user traffic, especially in private 5G, security teams can prioritize and drop GTP-U-in-GTP-U traffic.
As a general rule, the registration and use of SIM cards must be strictly regulated and managed. An attacker with a stolen SIM card could insert it to an attacker’s device to connect to a network for malicious deployments. Moreover, the responsibility of security might be ambiguous to some in a shared operating model, such as end-devices and the edge of the infrastructure chain owned by the enterprise. Meanwhile, the cellular infrastructure is owned by the integrator or carrier. This presents a hard task for security operation centers (SOCs) to bring relevant information together from different domains and solutions.
In addition, due to the downtime and tests required, updating critical infrastructure software regularly to keep up with vendor’s patches is not easy, nor will it ever be. Virtual patching with IPS or layered firewalls is thus strongly recommended. Fortunately, GTP-in-GTP is rarely used in real-world applications, so it might be safe to completely block all GTP-in-GTP traffic. We recommend using layered security solutions that combine IT and communications technology (CT) security and visibility. Implementing zero-trust solutions, such as Trend Micro™ Mobile Network Security, powered by CTOne, adds another security layer for enterprises and critical industries to prevent the unauthorized use of their respective private networks for a continuous and undisrupted industrial ecosystem, and by ensuring that the SIM is used only from an authorized device. Mobile Network Security also brings CT and IT security into a unified visibility and management console.
Release Date February 28, 2023 Alert CodeAA23-059A
SUMMARY
The Cybersecurity and Infrastructure Security Agency (CISA) is releasing this Cybersecurity Advisory (CSA) detailing activity and key findings from a recent CISA red team assessment—in coordination with the assessed organization—to provide network defenders recommendations for improving their organization’s cyber posture.
Actions to take today to harden your local environment:
Establish a security baseline of normal network activity; tune network and host-based appliances to detect anomalous behavior.
Conduct regular assessments to ensure appropriate procedures are created and can be followed by security staff and end users.
In 2022, CISA conducted a red team assessment (RTA) at the request of a large critical infrastructure organization with multiple geographically separated sites. The team gained persistent access to the organization’s network, moved laterally across the organization’s multiple geographically separated sites, and eventually gained access to systems adjacent to the organization’s sensitive business systems (SBSs). Multifactor authentication (MFA) prompts prevented the team from achieving access to one SBS, and the team was unable to complete its viable plan to compromise a second SBSs within the assessment period.
Despite having a mature cyber posture, the organization did not detect the red team’s activity throughout the assessment, including when the team attempted to trigger a security response.
CISA is releasing this CSA detailing the red team’s tactics, techniques, and procedures (TTPs) and key findings to provide network defenders of critical infrastructure organizations proactive steps to reduce the threat of similar activity from malicious cyber actors. This CSA highlights the importance of collecting and monitoring logs for unusual activity as well as continuous testing and exercises to ensure your organization’s environment is not vulnerable to compromise, regardless of the maturity of its cyber posture.
CISA encourages critical infrastructure organizations to apply the recommendations in the Mitigations section of this CSA—including conduct regular testing within their security operations center—to ensure security processes and procedures are up to date, effective, and enable timely detection and mitigation of malicious activity.
Note: This advisory uses the MITRE ATT&CK® for Enterprise framework, version 12. See the appendix for a table of the red team’s activity mapped to MITRE ATT&CK tactics and techniques.
Introduction
CISA has authority to, upon request, provide analyses, expertise, and other technical assistance to critical infrastructure owners and operators and provide operational and timely technical assistance to Federal and non-Federal entities with respect to cybersecurity risks. (See generally 6 U.S.C. §§ 652[c][5], 659[c][6].) After receiving a request for a red team assessment (RTA) from an organization and coordinating some high-level details of the engagement with certain personnel at the organization, CISA conducted the RTA over a three-month period in 2022.
During RTAs, a CISA red team emulates cyber threat actors to assess an organization’s cyber detection and response capabilities. During Phase I, the red team attempts to gain and maintain persistent access to an organization’s enterprise network while avoiding detection and evading defenses. During Phase II, the red team attempts to trigger a security response from the organization’s people, processes, or technology.
The “victim” for this assessment was a large organization with multiple geographically separated sites throughout the United States. For this assessment, the red team’s goal during Phase I was to gain access to certain sensitive business systems (SBSs).
Phase I: Red Team Cyber Threat Activity
Overview
The organization’s network was segmented with both logical and geographical boundaries. CISA’s red team gained initial access to two organization workstations at separate sites via spearphishing emails. After gaining access and leveraging Active Directory (AD) data, the team gained persistent access to a third host via spearphishing emails. From that host, the team moved laterally to a misconfigured server, from which they compromised the domain controller (DC). They then used forged credentials to move to multiple hosts across different sites in the environment and eventually gained root access to all workstations connected to the organization’s mobile device management (MDM) server. The team used this root access to move laterally to SBS-connected workstations. However, a multifactor authentication (MFA) prompt prevented the team from achieving access to one SBS, and Phase I ended before the team could implement a seemingly viable plan to achieve access to a second SBS.
Initial Access and Active Directory Discovery
The CISA red team gained initial access [TA0001] to two workstations at geographically separated sites (Site 1 and Site 2) via spearphishing emails. The team first conducted open-source research [TA0043] to identify potential targets for spearphishing. Specifically, the team looked for email addresses [T1589.002] as well as names [T1589.003] that could be used to derive email addresses based on the team’s identification of the email naming scheme. The red team sent tailored spearphishing emails to seven targets using commercially available email platforms [T1585.002]. The team used the logging and tracking features of one of the platforms to analyze the organization’s email filtering defenses and confirm the emails had reached the target’s inbox.
The team built a rapport with some targeted individuals through emails, eventually leading these individuals to accept a virtual meeting invite. The meeting invite took them to a red team-controlled domain [T1566.002] with a button, which, when clicked, downloaded a “malicious” ISO file [T1204]. After the download, another button appeared, which, when clicked, executed the file.
Two of the seven targets responded to the phishing attempt, giving the red team access to a workstation at Site 1 (Workstation 1) and a workstation at Site 2. On Workstation 1, the team leveraged a modified SharpHound collector, ldapsearch, and command-line tool, dsquery, to query and scrape AD information, including AD users [T1087.002], computers [T1018], groups [T1069.002], access control lists (ACLs), organizational units (OU), and group policy objects (GPOs) [T1615]. Note: SharpHound is a BloodHound collector, an open-source AD reconnaissance tool. Bloodhound has multiple collectors that assist with information querying.
There were 52 hosts in the AD that had Unconstrained Delegation enabled and a lastlogon timestamp within 30 days of the query. Hosts with Unconstrained Delegation enabled store Kerberos ticket-granting tickets (TGTs) of all users that have authenticated to that host. Many of these hosts, including a Site 1 SharePoint server, were Windows Server 2012R2. The default configuration of Windows Server 2012R2 allows unprivileged users to query group membership of local administrator groups.
The red team queried parsed Bloodhound data for members of the SharePoint admin group and identified several standard user accounts with administrative access. The team initiated a second spearphishing campaign, similar to the first, to target these users. One user triggered the red team’s payload, which led to installation of a persistent beacon on the user’s workstation (Workstation 2), giving the team persistent access to Workstation 2.
Lateral Movement, Credential Access, and Persistence
The red team moved laterally [TA0008] from Workstation 2 to the Site 1 SharePoint server and had SYSTEM level access to the Site 1 SharePoint server, which had Unconstrained Delegation enabled. They used this access to obtain the cached credentials of all logged-in users—including the New Technology Local Area Network Manager (NTLM) hash for the SharePoint server account. To obtain the credentials, the team took a snapshot of lsass.exe [T1003.001] with a tool called nanodump, exported the output, and processed the output offline with Mimikatz.
The team then exploited the Unconstrained Delegation misconfiguration to steal the DC’s TGT. They ran the DFSCoerce python script (DFSCoerce.py), which prompted DC authentication to the SharePoint server using the server’s NTLM hash. The team then deployed Rubeus to capture the incoming DC TGT [T1550.002], [T1557.001]. (DFSCoerce abuses Microsoft’s Distributed File System [MS-DFSNM] protocol to relay authentication against an arbitrary server.[1])
The team then used the TGT to harvest advanced encryption standard (AES)-256 hashes via DCSync [T1003.006] for the krbtgt account and several privileged accounts—including domain admins, workstation admins, and a system center configuration management (SCCM) service account (SCCM Account 1). The team used the krbtgt account hash throughout the rest of their assessment to perform golden ticket attacks [T1558.001] in which they forged legitimate TGTs. The team also used the asktgt command to impersonate accounts they had credentials for by requesting account TGTs [T1550.003].
The team first impersonated the SCCM Account 1 and moved laterally to a Site 1 SCCM distribution point (DP) server (SCCM Server 1) that had direct network access to Workstation 2. The team then moved from SCCM Server 1 to a central SCCM server (SCCM Server 2) at a third site (Site 3). Specifically, the team:
Queried the AD using Lightweight Directory Access Protocol (LDAP) for information about the network’s sites and subnets [T1016]. This query revealed all organization sites and subnets broken down by classless inter-domain routing (CIDR) subnet and description.
Used LDAP queries and domain name system (DNS) requests to identify recently active hosts.
Listed existing network connections [T1049] on SCCM Server 1, which revealed an active Server Message Block (SMB) connection from SCCM Server 2.
Attempted to move laterally to the SCCM Server 2 via AppDomain hijacking, but the HTTPS beacon failed to call back.
Attempted to move laterally with an SMB beacon [T1021.002], which was successful.
The team also moved from SCCM Server 1 to a Site 1 workstation (Workstation 3) that housed an active server administrator. The team impersonated an administrative service account via a golden ticket attack (from SCCM Server 1); the account had administrative privileges on Workstation 3. The user employed a KeePass password manager that the team was able to use to obtain passwords for other internal websites, a kernel-based virtual machine (KVM) server, virtual private network (VPN) endpoints, firewalls, and another KeePass database with credentials. The server administrator relied on a password manager, which stored credentials in a database file. The red team pulled the decryption key from memory using KeeThief and used it to unlock the database [T1555.005].
At the organization’s request, the red team confirmed that SCCM Server 2 provided access to the organization’s sites because firewall rules allowed SMB traffic to SCCM servers at all other sites.
The team moved laterally from SCCM Server 2 to an SCCM DP server at Site 5 and from the SCCM Server 1 to hosts at two other sites (Sites 4 and 6). The team installed persistent beacons at each of these sites. Site 5 was broken into a private and a public subnet and only DCs were able to cross that boundary. To move between the subnets, the team moved through DCs. Specifically, the team moved from the Site 5 SCCM DP server to a public DC; and then they moved from the public DC to the private DC. The team was then able to move from the private DC to workstations in the private subnet.
The team leveraged access available from SCCM 2 to move around the organization’s network for post-exploitation activities (See Post-Exploitation Activity section).
See Figure 1 for a timeline of the red team’s initial access and lateral movement showing key access points.
Figure 1: Red Team Cyber Threat Activity: Initial Access and Lateral Movement
While traversing the network, the team varied their lateral movement techniques to evade detection and because the organization had non-uniform firewalls between the sites and within the sites (within the sites, firewalls were configured by subnet). The team’s primary methods to move between sites were AppDomainManager hijacking and dynamic-link library (DLL) hijacking [T1574.001]. In some instances, they used Windows Management Instrumentation (WMI) Event Subscriptions [T1546.003].
The team impersonated several accounts to evade detection while moving. When possible, the team remotely enumerated the local administrators group on target hosts to find a valid user account. This technique relies on anonymous SMB pipe binds [T1071], which are disabled by default starting with Windows Server 2016. In other cases, the team attempted to determine valid accounts based on group name and purpose. If the team had previously acquired the credentials, they used asktgt to impersonate the account. If the team did not have the credentials, they used the golden ticket attack to forge the account.
Post-Exploitation Activity: Gaining Access to SBSs
With persistent, deep access established across the organization’s networks and subnetworks, the red team began post-exploitation activities and attempted to access SBSs. Trusted agents of the organization tasked the team with gaining access to two specialized servers (SBS 1 and SBS 2). The team achieved root access to three SBS-adjacent workstations but was unable to move laterally to the SBS servers:
Phase I ended before the team could implement a plan to move to SBS 1.
An MFA prompt blocked the team from moving to SBS 2, and Phase I ended before they could implement potential workarounds.
However, the team assesses that by using Secure Shell (SSH) session socket files (see below), they could have accessed any hosts available to the users whose workstations were compromised.
Plan for Potential Access to SBS 1
Conducting open-source research [1591.001], the team identified that SBS 1 and 2 assets and associated management/upkeep staff were located at Sites 5 and 6, respectively. Adding previously collected AD data to this discovery, the team was able to identify a specific SBS 1 admin account. The team planned to use the organization’s mobile device management (MDM) software to move laterally to the SBS 1 administrator’s workstation and, from there, pivot to SBS 1 assets.
The team identified the organization’s MDM vendor using open-source and AD information [T1590.006] and moved laterally to an MDM distribution point server at Site 5 (MDM DP 1). This server contained backups of the MDM MySQL database on its D: drive in the Backup directory. The backups included the encryption key needed to decrypt any encrypted values, such as SSH passwords [T1552]. The database backup identified both the user of the SBS 1 administrator account (USER 2) and the user’s workstation (Workstation 4), which the MDM software remotely administered.
The team moved laterally to an MDM server (MDM 1) at Site 3, searched files on the server, and found plaintext credentials [T1552.001] to an application programming interface (API) user account stored in PowerShell scripts. The team attempted to leverage these credentials to browse to the web login page of the MDM vendor but were unable to do so because the website directed to an organization-controlled single-sign on (SSO) authentication page.
The team gained root access to workstations connected to MDM 1—specifically, the team accessed Workstation 4—by:
Selecting an MDM user from the plaintext credentials in PowerShell scripts on MDM 1.
While in the MDM MySQL database,
Elevating the selected MDM user’s account privileges to administrator privileges, and
Modifying the user’s account by adding Create Policy and Delete Policy permissions [T1098], [T1548].
Creating a policy via the MDM API [T1106], which instructed Workstation 4 to download and execute a payload to give the team interactive access as root to the workstation.
Verifying their interactive access.
Resetting permissions back to their original state by removing the policy via the MDM API and removing Create Policy and Delete Policy and administrator permissions and from the MDM user’s account.
While interacting with Workstation 4, the team found an open SSH socket file and a corresponding netstat connection to a host that the team identified as a bastion host from architecture documentation found on Workstation 4. The team planned to move from Workstation 4 to the bastion host to SBS 1. Note: A SSH socket file allows a user to open multiple SSH sessions through a single, already authenticated SSH connection without additional authentication.
The team could not take advantage of the open SSH socket. Instead, they searched through SBS 1 architecture diagrams and documentation on Workstation 4. They found a security operations (SecOps) network diagram detailing the network boundaries between Site 5 SecOps on-premises systems, Site 5 non-SecOps on-premises systems, and Site 5 SecOps cloud infrastructure. The documentation listed the SecOps cloud infrastructure IP ranges [T1580]. These “trusted” IP addresses were a public /16 subnet; the team was able to request a public IP in that range from the same cloud provider, and Workstation 4 made successful outbound SSH connections to this cloud infrastructure. The team intended to use that connection to reverse tunnel traffic back to the workstation and then access the bastion host via the open SSH socket file. However, Phase 1 ended before they were able to implement this plan.
Attempts to Access SBS 2
Conducting open-source research, the team identified an organizational branch [T1591] that likely had access to SBS 2. The team queried the AD to identify the branch’s users and administrators. The team gathered a list of potential accounts, from which they identified administrators, such as SYSTEMS ADMIN or DATA SYSTEMS ADMINISTRATOR, with technical roles. Using their access to the MDM MySQL database, the team queried potential targets to (1) determine the target’s last contact time with the MDM and (2) ensure any policy targeting the target’s workstation would run relatively quickly [T1596.005]. Using the same methodology as described by the steps in the Plan for Potential Access to SBS 1 section above, the team gained interactive root access to two Site 6 SBS 2-connected workstations: a software engineering workstation (Workstation 5) and a user administrator workstation (Workstation 6).
The Workstation 5 user had bash history files with what appeared to be SSH passwords mistyped into the bash prompt and saved in bash history [T1552.003]. The team then attempted to authenticate to SBS 2 using a similar tunnel setup as described in the Access to SBS 1 section above and the potential credentials from the user’s bash history file. However, this attempt was unsuccessful for unknown reasons.
On Workstation 6, the team found a .txt file containing plaintext credentials for the user. Using the pattern discovered in these credentials, the team was able to crack the user’s workstation account password [T1110.002]. The team also discovered potential passwords and SSH connection commands in the user’s bash history. Using a similar tunnel setup described above, the team attempted to log into SBS 2. However, a prompt for an MFA passcode blocked this attempt.
See figure 2 for a timeline of the team’s post exploitation activity that includes key points of access.
Figure 2: Red Team Cyber Threat Activity: Post Exploitation
Command and Control
The team used third-party owned and operated infrastructure and services [T1583] throughout their assessment, including in certain cases for command and control (C2) [TA0011]. These included:
Cobalt Strike and Merlin payloads for C2 throughout the assessment. Note: Merlin is a post-exploit tool that leverages HTTP protocols for C2 traffic.
The team maintained multiple Cobalt Strike servers hosted by a cloud vendor. They configured each server with a different domain and used the servers for communication with compromised hosts. These servers retained all assessment data.
Two commercially available cloud-computing platforms.
The team used these platforms to create flexible and dynamic redirect servers to send traffic to the team’s Cobalt Strike servers [T1090.002]. Redirecting servers make it difficult for defenders to attribute assessment activities to the backend team servers. The redirectors used HTTPS reverse proxies to redirect C2 traffic between the target organization’s network and the Cobalt Strike team servers [T1071.002]. The team encrypted all data in transit [T1573] using encryption keys stored on team’s Cobalt Strike servers.
A cloud service to rapidly change the IP address of the team’s redirecting servers in the event of detection and eradication.
Content delivery network (CDN) services to further obfuscate some of the team’s C2 traffic.
This technique leverages CDNs associated with high-reputation domains so that the malicious traffic appears to be directed towards a reputation domain but is actually redirected to the red team-controlled Cobalt Strike servers.
The team used domain fronting [T1090.004] to disguise outbound traffic in order to diversify the domains with which the persistent beacons were communicating. This technique, which also leverages CDNs, allows the beacon to appear to connect to third-party domains, such as nytimes.com, when it is actually connecting to the team’s redirect server.
Phase II: Red Team Measurable Events Activity
The red team executed 13 measurable events designed to provoke a response from the people, processes, and technology defending the organization’s network. See Table 1 for a description of the events, the expected network defender activity, and the organization’s actual response.
Measurable Event
Description
MITRE ATT&CK Technique(s)
Expected Detection Points
Expected Network Defender Reactions
Reported Reactions
Internal Port Scan
Launch scan from inside the network from a previously gained workstation to enumerate ports on target workstation, server, and domain controller system(s).
Network Monitoring and Analysis ToolsIntrusion Detection or Prevention SystemsEndpoint Protection Platform
Detect target hosts and portsIdentify associated scanning processAnalyze scanning host once detectedDevelop response plan
None
Comprehensive Active Directory and Host Enumeration
Perform AD enumeration by querying all domain objects from the DC; and enumerating trust relationships within the AD Forest, user accounts, and current session information from every domain computer (Workstation and Server).
Detect account creationIdentify source of changeVerify change with system ownerDevelop response plan
None
Workstation Admin Lateral Movement—Workstation to Workstation
Use a previously compromised workstation admin account to upload and execute a payload via SMB and Windows Service Creation, respectively, on several target Workstations.
Valid Accounts: Domain Accounts [T1078.002]Remote Services: SMB/Windows Admin Shares, Sub-technique [T1021.002]Create or Modify System Process: Windows Service [T1543.003]
Windows Event Logs
Detect account compromiseAnalyze compromised hostDevelop response plan
None
Domain Admin Lateral Movement—Workstation to Domain Controller
Use a previously compromised domain admin account to upload and execute a payload via SMB and Windows Service Creation, respectively, on a target DC.
Valid Accounts: Domain Accounts [T1078.002]Remote Services: SMB/Windows Admin Shares, Sub-technique [T1021.002]Create or Modify System Process: Windows Service [T1543.003]
Windows Event Logs
Detect account compromiseTriage compromised hostDevelop response plan
None
Malicious Traffic Generation—Domain Controller to External Host
Establish a session that originates from a target Domain Controller system directly to an external host over a clear text protocol, such as HTTP.
Endpoint Protection PlatformEndpoint Detection and Response
Detect and identify source IP and source process of malicious trafficInvestigate destination IP addressTriage compromised hostDevelop response plan
Malicious file was removed by antivirus
Ransomware Simulation
Execute simulated ransomware on multiple Workstation systems to simulate a ransomware attack.Note: This technique does NOT encrypt files on the target system.
N/A
End User Reporting
Investigate end user reported eventTriage compromised hostDevelop response Plan
Four users reported event to defensive staff
Findings
Key Issues
The red team noted the following key issues relevant to the security of the organization’s network. These findings contributed to the team’s ability to gain persistent, undetected access across the organization’s sites. See the Mitigations section for recommendations on how to mitigate these issues.
Insufficient host and network monitoring. Most of the red team’s Phase II actions failed to provoke a response from the people, processes, and technology defending the organization’s network. The organization failed to detect lateral movement, persistence, and C2 activity via their intrusion detection or prevention systems, endpoint protection platform, web proxy logs, and Windows event logs. Additionally, throughout Phase I, the team received no deconflictions or confirmation that the organization caught their activity. Below is a list of some of the higher risk activities conducted by the team that were opportunities for detection:
Phishing
Lateral movement reuse
Generation and use of the golden ticket
Anomalous LDAP traffic
Anomalous internal share enumeration
Unconstrained Delegation server compromise
DCSync
Anomalous account usage during lateral movement
Anomalous outbound network traffic
Anomalous outbound SSH connections to the team’s cloud servers from workstations
Lack of monitoring on endpoint management systems. The team used the organization’s MDM system to gain root access to machines across the organization’s network without being detected. Endpoint management systems provide elevated access to thousands of hosts and should be treated as high value assets (HVAs) with additional restrictions and monitoring.
KRBTGT never changed. The Site 1 krbtgt account password had not been updated for over a decade. The krbtgt account is a domain default account that acts as a service account for the key distribution center (KDC) service used to encrypt and sign all Kerberos tickets for the domain. Compromise of the krbtgt account could provide adversaries with the ability to sign their own TGTs, facilitating domain access years after the date of compromise. The red team was able to use the krbtgt account to forge TGTs for multiple accounts throughout Phase I.
Excessive permissions to standard users. The team discovered several standard user accounts that have local administrator access to critical servers. This misconfiguration allowed the team to use the low-level access of a phished user to move laterally to an Unconstrained Delegation host and compromise the entire domain.
Hosts with Unconstrained Delegation enabled unnecessarily. Hosts with Unconstrained Delegation enabled store the Kerberos TGTs of all users that authenticate to that host, enabling actors to steal service tickets or compromise krbtgt accounts and perform golden ticket or “silver ticket” attacks. The team performed an NTLM-relay attack to obtain the DC’s TGT, followed by a golden ticket attack on a SharePoint server with Unconstrained Delegation to gain the ability to impersonate any Site 1 AD account.
Use of non-secure default configurations. The organization used default configurations for hosts with Windows Server 2012 R2. The default configuration allows unprivileged users to query group membership of local administrator groups. The red team used and identified several standard user accounts with administrative access from a Windows Server 2012 R2 SharePoint server.
Additional Issues
The team noted the following additional issues.
Ineffective separation of privileged accounts. Some workstations allowed unprivileged accounts to have local administrator access; for example, the red team discovered an ordinary user account in the local admin group for the SharePoint server. If a user with administrative access is compromised, an actor can access servers without needing to elevate privileges. Administrative and user accounts should be separated, and designated admin accounts should be exclusively used for admin purposes.
Lack of server egress control. Most servers, including domain controllers, allowed unrestricted egress traffic to the internet.
Inconsistent host configuration. The team observed inconsistencies on servers and workstations within the domain, including inconsistent membership in the local administrator group among different servers or workstations. For example, some workstations had “Server Admins” or “Domain Admins” as local administrators, and other workstations had neither.
Potentially unwanted programs. The team noticed potentially unusual software, including music software, installed on both workstations and servers. These extraneous software installations indicate inconsistent host configuration (see above) and increase the attack surfaces for malicious actors to gain initial access or escalate privileges once in the network.
Mandatory password changes enabled. During the assessment, the team keylogged a user during a mandatory password change and noticed that only the final character of their password was modified. This is potentially due to domain passwords being required to be changed every 60 days.
Smart card use was inconsistent across the domain. While the technology was deployed, it was not applied uniformly, and there was a significant portion of users without smartcard protections enabled. The team used these unprotected accounts throughout their assessment to move laterally through the domain and gain persistence.
Noted Strengths
The red team noted the following technical controls or defensive measures that prevented or hampered offensive actions:
The organization conducts regular, proactive penetration tests and adversarial assessments and invests in hardening their network based on findings.
The team was unable to discover any easily exploitable services, ports, or web interfaces from more than three million external in-scope IPs. This forced the team to resort to phishing to gain initial access to the environment.
Service account passwords were strong. The team was unable to crack any of the hashes obtained from the 610 service accounts pulled. This is a critical strength because it slowed the team from moving around the network in the initial parts of the Phase I.
The team did not discover any useful credentials on open file shares or file servers. This slowed the progress of the team from moving around the network.
MFA was used for some SBSs. The team was blocked from moving to SBS 2 by an MFA prompt.
There were strong security controls and segmentation for SBS systems. Direct access to SBS were located in separate networks, and admins of SBS used workstations protected by local firewalls.
MITIGATIONS
CISA recommends organizations implement the recommendations in Table 2 to mitigate the issues listed in the Findings section of this advisory. These mitigations align with the Cross-Sector Cybersecurity Performance Goals (CPGs) developed by CISA and the National Institute of Standards and Technology (NIST). The CPGs provide a minimum set of practices and protections that CISA and NIST recommend all organizations implement. CISA and NIST based the CPGs on existing cybersecurity frameworks and guidance to protect against the most common and impactful threats, tactics, techniques, and procedures. See CISA’s Cross-Sector Cybersecurity Performance Goals for more information on the CPGs, including additional recommended baseline protections.
Issue
Recommendation
Insufficient host and network monitoring
Establish a security baseline of normal network traffic and tune network appliances to detect anomalous behavior [CPG 3.1]. Tune host-based products to detect anomalous binaries, lateral movement, and persistence techniques.Create alerts for Windows event log authentication codes, especially for the domain controllers. This could help detect some of the pass-the-ticket, DCSync, and other techniques described in this report.From a detection standpoint, focus on identity and access management (IAM) rather than just network traffic or static host alerts.Consider who is accessing what (what resource), from where (what internal host or external location), and when (what day and time the access occurs).Look for access behavior that deviates from expected or is indicative of AD abuse.Reduce the attack surface by limiting the use of legitimate administrative pathways and tools such as PowerShell, PSExec, and WMI, which are often used by malicious actors. CISA recommends selecting one tool to administer the network, ensuring logging is turned on [CPG 3.1], and disabling the others.Consider using “honeypot” service principal names (SPNs) to detect attempts to crack account hashes [CPG 1.1].Conduct regular assessments to ensure processes and procedures are up to date and can be followed by security staff and end users.Consider using red team tools, such as SharpHound, for AD enumeration to identify users with excessive privileges and misconfigured hosts (e.g., with Unconstrained Delegation enabled).Ensure all commercial tools deployed in your environment are regularly tuned to pick up on relevant activity in your environment.
Lack of monitoring on endpoint management systems
Treat endpoint management systems as HVAs with additional restrictions and monitoring because they provide elevated access to thousands of hosts.
KRBTGT never changed
Change the krbtgt account password on a regular schedule such as every 6 to 12 months or if it becomes compromised. Note that this password change must be carefully performed to effectively change the credential without breaking AD functionality. The password must be changed twice to effectively invalidate the old credentials. However, the required waiting period between resets must be greater than the maximum lifetime period of Kerberos tickets, which is 10 hours by default. See Microsoft’s KRBTGT account maintenance considerations guidance for more information.
Excessive permissions to standard users and ineffective separation of privileged accounts
Implement the principle of least privilege:Grant standard user rights for standard user tasks such as email, web browsing, and using line-of-business (LOB) applications.Periodically audit standard accounts and minimize where they have privileged access.Periodically Audit AD permissions to ensure users do not have excessive permissions and have not been added to admin groups.Evaluate which administrative groups should administer which servers/workstations. Ensure group members administrative accounts instead of standard accounts.Separate administrator accounts from user accounts [CPG 1.5]. Only allow designated admin accounts to be used for admin purposes. If an individual user needs administrative rights over their workstation, use a separate account that does not have administrative access to other hosts, such as servers.Consider using a privileged access management (PAM) solution to manage access to privileged accounts and resources [CPG 3.4]. PAM solutions can also log and alert usage to detect any unusual activity and may have helped stop the red team from accessing resources with admin accounts. Note: password vaults associated with PAM solutions should be treated as HVAs with additional restrictions and monitoring (see below).Configure time-based access for accounts set at the admin level and higher. For example, the just-in-time (JIT) access method provisions privileged access when needed and can support enforcement of the principle of least privilege, as well as the Zero Trust model. This is a process in which a network-wide policy is set in place to automatically disable administrator accounts at the AD level when the account is not in direct need. When individual users need the account, they submit their requests through an automated process that enables access to a system but only for a set timeframe to support task completion.
Hosts with Unconstrained Delegation enabled
Remove Unconstrained Delegation from all servers. If Unconstrained Delegation functionality is required, upgrade operating systems and applications to leverage other approaches (e.g., constrained delegation) or explore whether systems can be retired or further isolated from the enterprise. CISA recommends Windows Server 2019 or greater.Consider disabling or limiting NTLM and WDigest Authentication if possible, including using their use as criteria for prioritizing updates to legacy systems or for segmenting the network. Instead use more modern federation protocols (SAML, OIDC) or Kerberos for authentication with AES-256 bit encryption [CPG 3.4].If NTLM must be enabled, enable Extended Protection for Authentication (EPA) to prevent some NTLM-relay attacks, and implement SMB signing to prevent certain adversary-in-the-middle and pass-the-hash attacks CPG 3.4]. See Microsoft Mitigating NTLM Relay Attacks on Active Directory Certificate Services (AD CS) and Microsoft Overview of Server Message Block signing for more information.
Use of non-secure default configurations
Keep systems and software up to date [CPG 5.1]. If updates cannot be uniformly installed, update insecure configurations to meet updated standards.
Lack of server egress control
Configure internal firewalls and proxies to restrict internet traffic from hosts that do not require it. If a host requires specific outbound traffic, consider creating an allowlist policy of domains.
Large number of credentials in a shared vault
Treat password vaults as HVAswith additional restrictions and monitoring [CPG 3.4]:If on-premise, require MFA for admin and apply network segmentation [CPG 1.3]. Use solutions with end-to-end encryption where applicable [CPG 3.3].If cloud-based, evaluate the provider to ensure use of strong security controls such as MFA and end-to-end encryption [CPG 1.3, 3.3].
Inconsistent host configuration
Establish a baseline/gold-image for workstations and servers and deploy from that image [CPG 2.5]. Use standardized groups to administer hosts in the network.
Potentially unwanted programs
Implement software allowlisting to ensure users can only install software from an approved list [CPG 2.1].Remove unnecessary, extraneous software from servers and workstations.
Mandatory password changes enabled
Consider only requiring changes for memorized passwords in the event of compromise. Regular changing of memorized passwords can lead to predictable patterns, and both CISA and the National Institute of Standards and Technology (NIST) recommend against changing passwords on regular intervals.
Additionally, CISA recommends organizations implement the mitigations below to improve their cybersecurity posture:
Provide users with regular training and exercises, specifically related to phishing emails [CPG 4.3]. Phishing accounts for majority of initial access intrusion events.
Reduce the risk of credential compromise via the following:
Place domain admin accounts in the protected users group to prevent caching of password hashes locally; this also forces Kerberos AES authentication as opposed to weaker RC4 or NTLM.
Implement Credential Guard for Windows 10 and Server 2016 (Refer to Microsoft: Manage Windows Defender Credential Guard for more information). For Windows Server 2012R2, enable Protected Process Light for Local Security Authority (LSA).
Refrain from storing plaintext credentials in scripts [CPG 3.4]. The red team discovered a PowerShell script containing plaintext credentials that allowed them to escalate to admin.
Upgrade to Windows Server 2019 or greater and Windows 10 or greater. These versions have security features not included in older operating systems.
As a long-term effort, CISA recommends organizations prioritize implementing a more modern, Zero Trust network architecture that:
Leverages secure cloud services for key enterprise security capabilities (e.g., identity and access management, endpoint detection and response, policy enforcement).
Upgrades applications and infrastructure to leverage modern identity management and network access practices.
Centralizes and streamlines access to cybersecurity data to drive analytics for identifying and managing cybersecurity risks.
Invests in technology and personnel to achieve these goals.
CISA encourages organizational IT leadership to ask their executive leadership the question: Can the organization accept the business risk of NOT implementing critical security controls such as MFA? Risks of that nature should typically be acknowledged and prioritized at the most senior levels of an organization.
VALIDATE SECURITY CONTROLS
In addition to applying mitigations, CISA recommends exercising, testing, and validating your organization’s security program against the threat behaviors mapped to the MITRE ATT&CK for Enterprise framework in this advisory. CISA recommends testing your existing security controls inventory to assess how they perform against the ATT&CK techniques described in this advisory.
To get started:
Select an ATT&CK technique described in this advisory (see Table 3).
Align your security technologies against the technique.
Test your technologies against the technique.
Analyze your detection and prevention technologies’ performance.
Repeat the process for all security technologies to obtain a set of comprehensive performance data.
Tune your security program, including people, processes, and technologies, based on the data generated by this process.
CISA recommends continually testing your security program, at scale, in a production environment to ensure optimal performance against the MITRE ATT&CK techniques identified in this advisory.
The team used the following tools:Cobalt Strike and Merlin payloads for C2.KeeThief to obtain a decryption key from a KeePass databaseRubeus and DFSCoerce in an NTLM relay attack
The team elevated account privileges to administrator and modified the user’s account by adding Create Policy and Delete Policy permissions.During Phase II, the team created local admin accounts and an AD account; they added the created AD account to a domain admins group.
During Phase II, the team leveraged compromised workstation and domain admin accounts to execute a payload via Windows Service Creation on target workstations and the DC.
Event Triggered Execution: Windows Management Instrumentation Event Subscription
The team obtained the cached credentials from a SharePoint server account by taking a snapshot of lsass.exe with a tool called nanodump, exporting the output and processing the output offline with Mimikatz.
The team ran the DFSCoerce python script, which prompted DC authentication to a server using the server’s NTLM hash. The team then deployed Rubeus to capture the incoming DC TGT.
The team queried AD for AD users (during Phase I and II), including for members of a SharePoint admin group and several standard user accounts with administrative access.
The team moved laterally with an SMB beacon.During Phase II, they used compromised workstation and domain admin accounts to upload a payload via SMB on several target Workstations and the DC.
Use Alternate Authentication Material: Pass the Hash
The team ran the DFSCoerce python script, which prompted DC authentication to a server using the server’s NTLM hash. The team then deployed Rubeus to capture the incoming DC TGT.
The team remotely enumerated the local administrators group on target hosts to find valid user accounts. This technique relies on anonymous SMB pipe binds, which are disabled by default starting with Server 2016.During Phase II, the team established sessions that originated from a target Workstation and from the DC directly to an external host over a clear text protocol.
