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UniFi Network – Introduction to VPNs

A virtual private network (VPN) allows a client to join a network remotely via an encrypted connection. VPNs offer many benefits:

  • Securely share resources between multiple office branches, or grant access to network resources from a remote location.
  • Moderate activity and impose network-specific traffic and routing policies for remote connections.
  • Mask IP addresses when accessing the internet.

UniFi supports several types of VPNs. This article will outline their specific benefits and use cases. 

Note: A UniFi gateway is required to use the VPNs profiled below. 

VPN Types

Teleport

Teleport is a one-click VPN that allows clients to remotely connect to networks hosted by a UniFi gateway via the WiFiman mobile app (iOS / Android). With WiFiman, you can remotely access local network resources, like connected storage drives. Utilizing Wireguard VPN technology, Teleport delivers reliable, high-speed connectivity and requires zero configuration. We recommend Teleport for most users seeking to set up a VPN.

VPN Server

A VPN server also allows clients to remotely connect to a network hosted by a UniFi gateway. Unlike Teleport, you must configure your UniFi gateway and the clients that will be using the VPN. We only recommend setting up a VPN server if you need to connect remote clients that cannot use the WiFiman mobile app. Otherwise, Teleport is likely a more suitable option because of its streamlined configuration and reliably high performance. 

For more information, see Configuring Remote Access VPNs (VPN Server).

Site-to-Site VPN

Site-to-site VPNs connect multiple sites with an encrypted “VPN tunnel” to create a single secure connection between all ‘local’ networks. This is perfect for two-way resource sharing across multiple locations. As such, site-to-site VPNs are primarily used by larger organizations that span multiple locations. They are not recommended for most home users

For more information, see Configuring Site-to-Site VPNs.

VPN Client

This VPN sends some, or all, of your network traffic through a third-party VPN server. This is useful for those that prefer to mask their public IP addresses while they access the internet. 

VPN Client also allows devices that don’t natively support VPN usage to connect to one. For example, when configuring a UniFi VPN server, we mentioned that each connected client must be configured individually. This isn’t a problem for most smartphones, laptops, or PCs, but some clients, like IoT devices or smart TVs, are not designed to remotely connect to other networks. VPN Client circumvents this by allowing your UniFi gateway to send their traffic through the VPN, instead of the devices themselves.

VPN Comparison

 TeleportVPN ServerSite-to-SiteVPN Client
PurposeAllow users to remotely connect to a local network and access network resources (e.g., a local storage drive).Allow users to remotely connect to a local network and access network resources (e.g., a local storage drive).Combine multiple sites to create a single, secure connection allowing two-way resource sharing.Direct local network client traffic through a third-party VPN server to mask their IP addresses and/or locations.
Recommended UsersUsers connecting to their home network from a different location.Remote employees connecting to their company’s network from home.Office employees connecting to other branch networks.Network administrators sending specific network traffic through a third-party VPN server.


Setup Requirements
One-click VPN that requires zero-configuration.Set up on a UniFi gateway. Each connected client must be individually configured.A gateway at each connected site must be configured.UniFi gateways must be loaded with a configuration file provided by the  third-party VPN provider.
How Users ConnectEach client has its own connection with the UniFi gateway.Each client has its own connection with the UniFi gateway.Users share the same connection that tethers multiple sites.The UniFi gateway establishes a single connection with the third-party VPN.

Source :
https://help.ui.com/hc/en-us/articles/7951513517079-UniFi-Network-Introduction-to-VPNs

IT threat evolution in Q2 2022. Mobile statistics

These statistics are based on detection verdicts of Kaspersky products received from users who consented to providing statistical data.

Quarterly figures

According to Kaspersky Security Network, in Q2 2022:

  • 5,520,908 mobile malware, adware and riskware attacks were blocked.
  • The most common threat to mobile devices was adware: 25.28% of all threats detected.
  • 405,684 malicious installation packages were detected, of which:
    • 55,614 packages were related to mobile banking Trojans;
    • 3,821 packages were mobile ransomware Trojans.

Quarterly highlights

In the second quarter of 2022, cybercriminal activity continued to decline — if the number of attacks on mobile devices is any indication.

https://e.infogram.com/_/kUJZ2IuFyVL5rs1NUqoG?parent_url=https%3A%2F%2Fsecurelist.com%2Fit-threat-evolution-in-q2-2022-mobile-statistics%2F107123%2F&src=embed#async_embed

Number of attacks targeting users of Kaspersky mobile solutions, Q1 2020 — Q2 2022 (download)

As in the previous quarter, fraudulent apps occupied seven out of twenty leading positions in the malware rankings. That said, the total number of attacks by these apps started to decrease.

Interestingly enough, some fraudulent app creators were targeting users from several countries at once. For instance, J-Lightning Application purported to help users to invest into a Polish oil refinery, a Russian energy company, a Chinese cryptocurrency exchange and an American investment fund.

On the contrary, the number of attacks by the RiskTool.AndroidOS.SpyLoan riskware family (loan apps that request access to users’ text messages, contact list and photos) more than quadrupled from the first quarter. The majority of users whose devices were found to be infected with this riskware were based in Mexico: a third of the total number of those attacked. This was followed by India and Colombia. The ten most-affected countries include Kenya, Brazil, Peru, Pakistan, Nigeria, Uganda and the Philippines.

The second quarter was also noteworthy for Europol taking down the infrastructure of the FluBot mobile botnet, also known as Polph and Cabassous. This aggressively spreading banking Trojan attacked mainly users in Europe and Australia.

Mobile threat statistics

In Q2 2022, Kaspersky detected 405,684 malicious installation packages, a reduction of 110,933 from the previous quarter and a year-on-year decline of 480,421.

https://e.infogram.com/_/sggcRCeC8v5IMtDdh0MY?parent_url=https%3A%2F%2Fsecurelist.com%2Fit-threat-evolution-in-q2-2022-mobile-statistics%2F107123%2F&src=embed#async_embed

Number of detected malicious installation packages, Q2 2021 — Q2 2022 (download)

Distribution of detected mobile malware by type

https://e.infogram.com/_/xd4vJYpEUtvNfzYvS1xv?parent_url=https%3A%2F%2Fsecurelist.com%2Fit-threat-evolution-in-q2-2022-mobile-statistics%2F107123%2F&src=embed#async_embed

Distribution of newly detected mobile malware by type, Q1 and Q2 2022 (download)

Adware ranked first among all threats detected in Q2 2022 with 25.28%, exceeding the previous quarter’s figure by 8.36 percentage points. A third of all detected threats of that class were objects of the AdWare.AndroidOS.Ewind family (33.21%). This was followed by the AdWare.AndroidOS.Adlo (22.54%) and AdWare.AndroidOS.HiddenAd (8.88%) families.

The previous leader, the RiskTool riskware, moved to second place with 20.81% of all detected threats, a decline of 27.94 p.p. from the previous quarter. More than half (60.16%) of the discovered apps of that type belonged to the Robtes family.

Various Trojans came close behind with 20.49%, a rise of 5.81 p.p. on the previous quarter. The largest contribution was made by objects belonging to the Mobtes (38.75%), Boogr (21.12%) and Agent (18.98%) families.

Top 20 mobile malware programs

Note that the malware rankings below exclude riskware or PUAs, such as RiskTool or adware.

Verdict%*
1DangerousObject.Multi.Generic21.90
2Trojan-SMS.AndroidOS.Fakeapp.d10.71
3Trojan.AndroidOS.Generic10.55
4Trojan.AndroidOS.GriftHorse.ah6.07
5Trojan-Spy.AndroidOS.Agent.aas5.40
6Trojan.AndroidOS.GriftHorse.l3.43
7DangerousObject.AndroidOS.GenericML3.21
8Trojan-Dropper.AndroidOS.Agent.sl2.82
9Trojan.AndroidOS.Fakemoney.d2.33
10Trojan.AndroidOS.Fakeapp.ed1.82
11Trojan.AndroidOS.Fakeapp.dw1.68
12Trojan.AndroidOS.Fakemoney.i1.62
13Trojan.AndroidOS.Soceng.f1.59
14Trojan-Ransom.AndroidOS.Pigetrl.a1.59
15Trojan.AndroidOS.Boogr.gsh1.56
16Trojan-Downloader.AndroidOS.Necro.d1.56
17Trojan-SMS.AndroidOS.Agent.ado1.54
18Trojan-Dropper.AndroidOS.Hqwar.gen1.54
19Trojan.AndroidOS.Fakemoney.n1.52
20Trojan-Downloader.AndroidOS.Agent.kx1.45

* Unique users attacked by this malware as a percentage of all attacked users of Kaspersky mobile solutions.

First and third places went to DangerousObject.Multi.Generic (21.90%) and Trojan.AndroidOS.Generic (10.55%), respectively, which are verdicts we use for malware detected with cloud technology. Cloud technology is triggered whenever the antivirus databases lack data for detecting a piece of malware, but the antivirus company’s cloud already contains information about the object. This is essentially how the latest malware types are detected.

Trojan-SMS.AndroidOS.Fakeapp.d rose from third to second place with 10.71%. This malware is capable of sending text messages and calling predefined numbers, displaying ads and hiding its icon.

Members of the Trojan.AndroidOS.GriftHorse family took fourth and sixth places with 6.07% and 3.43%, respectively. This family includes fraudulent apps that purchase paid subscriptions on the user’s behalf.

Trojan-Spy.AndroidOS.Agent.aas (5.40%), an evil twin of WhatsApp with a spy module built in, retained fifth position.

The verdict of DangerousObject.AndroidOS.GenericML (3.21%) came seventh. These verdicts are assigned to files recognized as malicious by our machine-learning systems.

Trojan-Dropper.AndroidOS.Agent.sl (2.82%), a dropper that unpacks and runs a banking Trojan on devices, remained in eighth place. Most of the attacked users were based in Russia or Germany.

Trojan.AndroidOS.Fakemoney.d slid from second to ninth place with 2.33%. Other members of the family occupied twelfth and nineteenth places in the rankings. These are fraudulent apps that offer users to fill out fake welfare applications.

Trojan.AndroidOS.Fakeapp.ed dropped to tenth place from sixth with 1.82%; this verdict covers fraudulent apps purporting to help with investing in gas utilities and mostly targeting Russian users.

Trojan.AndroidOS.Fakeapp.dw dropped from tenth place to eleventh with 1.68%. This verdict is assigned to various scammer apps, for example, those offering to make extra income.

Trojan.AndroidOS.Soceng.f (1.59%) dropped from twelfth to thirteenth place. This Trojan sends text messages to people in your contacts list, deletes files on the user’s SD card, and overlays the interfaces of popular apps with its own window.

Trojan-Ransom.AndroidOS.Pigetrl.a dropped from eleventh to fourteenth place with 1.59%. This malware locks the screen, asking to enter an unlock code. The Trojan provides no instructions on how to obtain this code, which is embedded in the body of the malware.

The verdict of Trojan.AndroidOS.Boogr.gsh occupied fifteenth place with 1.56%. Like DangerousObject.AndroidOS.GenericML, this verdict is produced by a machine learning system.

Trojan-Downloader.AndroidOS.Necro.d (1.56%), designed for downloading and running other malware on infected devices, climbed to sixteenth place from seventeenth.

Trojan-SMS.AndroidOS.Agent.ado dropped from fifteenth to seventeenth place with 1.54%. This malware sends text messages to short codes.

Trojan-Dropper.AndroidOS.Hqwar.gen, which unpacks and runs various banking Trojans on a device, kept eighteenth place with 1.54%.

Trojan-Downloader.AndroidOS.Agent.kx (1.45%), which loads adware, dropped to the bottom of the rankings.

Geography of mobile threats

https://e.infogram.com/_/5488dBZS93CY789cAis8?parent_url=https%3A%2F%2Fsecurelist.com%2Fit-threat-evolution-in-q2-2022-mobile-statistics%2F107123%2F&src=embed#async_embed

Map of attempts to infect mobiles with malware, Q2 2022 (download)

TOP 10 countries and territories by share of users attacked by mobile malware

Countries and territories*%**
1Iran26,91
2Yemen17,97
3Saudi Arabia12,63
4Oman12,01
5Algeria11,49
6Egypt10,48
7Morocco7,88
8Kenya7,58
9Ecuador7,19
10Indonesia6,91

* Excluded from the rankings are countries and territories with relatively few (under 10,000) Kaspersky mobile security users.
** Unique users attacked as a percentage of all users of Kaspersky mobile security solutions in the country.

Iran remained the leader in terms of the share of infected devices in Q2 2022 with 26.91%; the most widespread threats there as before were the annoying AdWare.AndroidOS.Notifyer and AdWare.AndroidOS.Fyben families. Yemen rose to second place with 17.97%; the Trojan-Spy.AndroidOS.Agent.aas spyware was the threat most often encountered by users in that country. Saudi Arabia came third with 12.63%, the most common malware apps in the country being the AdWare.AndroidOS.Adlo and AdWare.AndroidOS.Fyben adware families.

Mobile banking Trojans

The number of detected mobile banking Trojan installation packages increased slightly compared to the previous quarter: during the reporting period, we found 55,614 of these, an increase of 1,667 on Q1 2022 and a year-on-year increase of 31,010.

Almost half (49.28%) of the detected installation packages belonged to the Trojan-Banker.AndroidOS.Bray family. The Trojan-Banker.AndroidOS.Wroba was second with 5.54%, and Trojan-Banker.AndroidOS.Fakecalls third with 4.83%.

https://e.infogram.com/_/WmVkKmoCinRxAPQXWFha?parent_url=https%3A%2F%2Fsecurelist.com%2Fit-threat-evolution-in-q2-2022-mobile-statistics%2F107123%2F&src=embed#async_embed

Number of installation packages for mobile banking Trojans detected by Kaspersky, Q2 2021 — Q2 2022 (download)

Ten most common mobile bankers

Verdict%*
1Trojan-Banker.AndroidOS.Bian.h23.22
2Trojan-Banker.AndroidOS.Anubis.t10.48
3Trojan-Banker.AndroidOS.Svpeng.q7.88
4Trojan-Banker.AndroidOS.Asacub.ce4.48
5Trojan-Banker.AndroidOS.Sova.g4.32
6Trojan-Banker.AndroidOS.Gustuff.d4.04
7Trojan-Banker.AndroidOS.Ermak.a4.00
8Trojan-Banker.AndroidOS.Agent.ep3.66
9Trojan-Banker.AndroidOS.Agent.eq3.58
10Trojan-Banker.AndroidOS.Faketoken.z2.51

* Unique users attacked by this malware as a percentage of all Kaspersky mobile security solution users who encountered banking threats.

https://e.infogram.com/_/bawulAIMCMSwfujrqAJT?parent_url=https%3A%2F%2Fsecurelist.com%2Fit-threat-evolution-in-q2-2022-mobile-statistics%2F107123%2F&src=embed#async_embed

Geography of mobile banking threats, Q2 2022 (download)

TOP 10 countries and territories by shares of users attacked by mobile banking Trojans

Countries and territories*%**
1Spain1.04
2Turkey0.71
3Australia0.67
4Saudi Arabia0.64
5Switzerland0.38
6UAE0.23
7Japan0.14
8Colombia0.14
9Italy0.10
10Portugal0.09

* Countries and territories with relatively few users of Kaspersky mobile security solutions (under 10,000) have been excluded from the ranking.
** Unique users attacked by mobile banking Trojans as a percentage of all Kaspersky mobile security solution users in the country.

In Q2 2022, Spain still had the largest share of unique users attacked by mobile financial threats: 1.04%. Trojan-Banker.AndroidOS.Bian.h accounted for 89.95% of attacks on Spanish users. Turkey had the second-largest share (0.71%), with attacks on Turkish users dominated by Trojan-Banker.AndroidOS.Ermak.a (41.38%). Australia was third with 0.67%; most attacks in this country were attributed to Trojan-Banker.AndroidOS.Gustuff.d (96,55%).

Mobile ransomware Trojans

The number of mobile ransomware Trojan installation packages we detected in Q2 2022 (3,821) almost doubled from Q1 2022, increasing by 1,879; the figure represented a year-on-year increase of 198.

https://e.infogram.com/_/qgwrjBbIOWRSVBiw4z6r?parent_url=https%3A%2F%2Fsecurelist.com%2Fit-threat-evolution-in-q2-2022-mobile-statistics%2F107123%2F&src=embed#async_embed

Number of installation packages for mobile ransomware Trojans detected by Kaspersky, Q2 2021 — Q2 2022 (download)

Top 10 most common mobile ransomware

Verdict%*
1Trojan-Ransom.AndroidOS.Pigetrl.a76.81
2Trojan-Ransom.AndroidOS.Rkor.ch2.66
3Trojan-Ransom.AndroidOS.Small.as2.51
4Trojan-Ransom.AndroidOS.Rkor.br1.46
5Trojan-Ransom.AndroidOS.Rkor.bi1.40
6Trojan-Ransom.AndroidOS.Svpeng.ah1.29
7Trojan-Ransom.AndroidOS.Congur.cw1.23
8Trojan-Ransom.AndroidOS.Small.cj1.14
9Trojan-Ransom.AndroidOS.Svpeng.ac1.14
10Trojan-Ransom.AndroidOS.Congur.bf1.07

* Unique users attacked by the malware as a percentage of all Kaspersky mobile security solution users attacked by ransomware Trojans.

https://e.infogram.com/_/fLxtf6iaN8E9XJOQQUsF?parent_url=https%3A%2F%2Fsecurelist.com%2Fit-threat-evolution-in-q2-2022-mobile-statistics%2F107123%2F&src=embed#async_embed

Geography of mobile ransomware Trojans, Q2 2022 (download)

TOP 10 countries and territories by share of users attacked by mobile ransomware Trojans

Countries and territories*%**
1Yemen0,30
2Kazakhstan0,19
3Azerbaijan0,06
4Kyrgyzstan0,04
5Switzerland0,04
6Egypt0,03
7Saudi Arabia0,03
8Uzbekistan0,02
9Russian Federation0,02
10Morocco0,02

* Excluded from the rankings are countries and territories with relatively few (under 10,000) Kaspersky mobile security users.
** Unique users attacked by ransomware Trojans as a percentage of all Kaspersky mobile security solution users in the country or territory.

Countries leading by number of users attacked by mobile ransomware Trojans were Yemen (0.30%), Kazakhstan (0.19%) and Azerbaijan (0.06%). Users in Yemen most often encountered Trojan-Ransom.AndroidOS.Pigetrl.a, while users in Kazakhstan and Azerbaijan were attacked mainly by members of the Trojan-Ransom.AndroidOS.Rkor family.

IT threat evolution in Q2 2022. Non-mobile statistics

These statistics are based on detection verdicts of Kaspersky products and services received from users who consented to providing statistical data.

Quarterly figures

According to Kaspersky Security Network, in Q2 2022:

  • Kaspersky solutions blocked 1,164,544,060 attacks from online resources across the globe.
  • Web Anti-Virus recognized 273,033,368 unique URLs as malicious. Attempts to run malware for stealing money from online bank accounts were stopped on the computers of 100,829 unique users.
  • Ransomware attacks were defeated on the computers of 74,377 unique users.
  • Our File Anti-Virus detected 55,314,176 unique malicious and potentially unwanted objects.

Financial threats

Financial threat statistics

In Q2 2022, Kaspersky solutions blocked the launch of malware designed to steal money from bank accounts on the computers of 100,829 unique users.

https://e.infogram.com/_/xVIqEwzQRE40afesiEuD?parent_url=https%3A%2F%2Fsecurelist.com%2Fit-threat-evolution-in-q2-2022-non-mobile-statistics%2F107133%2F&src=embed#async_embed

Number of unique users attacked by financial malware, Q2 2022 (download)

Geography of financial malware attacks

To evaluate and compare the risk of being infected by banking Trojans and ATM/POS malware worldwide, for each country and territory we calculated the share of Kaspersky users who faced this threat during the reporting period as a percentage of all users of our products in that country or territory.

https://e.infogram.com/_/VAlc8RYhTGIEk24LI7Q3?parent_url=https%3A%2F%2Fsecurelist.com%2Fit-threat-evolution-in-q2-2022-non-mobile-statistics%2F107133%2F&src=embed#async_embed

Geography of financial malware attacks, Q2 2022 (download)

TOP 10 countries and territories by share of attacked users

Country or territory*%**
1Turkmenistan4.8
2Afghanistan4.3
3Tajikistan3.8
4Paraguay3.1
5China2.4
6Yemen2.4
7Uzbekistan2.2
8Sudan2.1
9Egypt2.0
10Mauritania1.9

* Excluded are countries and territories with relatively few Kaspersky product users (under 10,000).
** Unique users whose computers were targeted by financial malware as a percentage of all unique users of Kaspersky products in the country.

TOP 10 banking malware families

NameVerdicts%*
1Ramnit/NimnulTrojan-Banker.Win32.Ramnit35.5
2Zbot/ZeusTrojan-Banker.Win32.Zbot15.8
3CliptoShufflerTrojan-Banker.Win32.CliptoShuffler6.4
4Trickster/TrickbotTrojan-Banker.Win32.Trickster6
5RTMTrojan-Banker.Win32.RTM2.7
6SpyEyeTrojan-Spy.Win32.SpyEye2.3
7IcedIDTrojan-Banker.Win32.IcedID2.1
8DanabotTrojan-Banker.Win32.Danabot1.9
9BitStealerTrojan-Banker.Win32.BitStealer1.8
10GoziTrojan-Banker.Win32.Gozi1.3

* Unique users who encountered this malware family as a percentage of all users attacked by financial malware.

Ransomware programs

In the second quarter, the Lockbit group launched a bug bounty program. The cybercriminals are promising $1,000 to $1,000,000 for doxing of senior officials, reporting  web service, Tox messenger or ransomware Trojan algorithm vulnerabilities, as well as for ideas on improving the Lockbit website and Trojan. This was the first-ever case of ransomware groups doing a (self-promotion?) campaign like that.

Another well-known group, Conti, said it was shutting down operations. The announcement followed a high-profile attack on Costa Rica’s information systems, which prompted the government to declare a state of emergency. The Conti infrastructure was shut down in late June, but some in the infosec community believe that Conti members are either just rebranding or have split up and joined other ransomware teams, including Hive, AvosLocker and BlackCat.

While some ransomware groups are drifting into oblivion, others seem to be making a comeback. REvil’s website went back online in April, and researchers discovered a newly built specimen of their Trojan. This might have been a test build, as the sample did not encrypt any files, but these events may herald the impending return of REvil.

Kaspersky researchers found a way to recover files encrypted by the Yanluowang ransomware and released a decryptor for all victims. Yanluowang has been spotted in targeted attacks against large businesses in the US, Brazil, Turkey, and other countries.

Number of new modifications

In Q2 2022, we detected 15 new ransomware families and 2355 new modifications of this malware type.

https://e.infogram.com/_/LLQNUsWe0kQuAyykdQ9p?parent_url=https%3A%2F%2Fsecurelist.com%2Fit-threat-evolution-in-q2-2022-non-mobile-statistics%2F107133%2F&src=embed#async_embed

Number of new ransomware modifications, Q2 2021 — Q2 2022 (download)

Number of users attacked by ransomware Trojans

In Q2 2022, Kaspersky products and technologies protected 74,377 users from ransomware attacks.

https://e.infogram.com/_/YAmZLBPilFKmsbsxFKpJ?parent_url=https%3A%2F%2Fsecurelist.com%2Fit-threat-evolution-in-q2-2022-non-mobile-statistics%2F107133%2F&src=embed#async_embed

Number of unique users attacked by ransomware Trojans, Q2 2022 (download)

Geography of attacked users

https://e.infogram.com/_/oDrJKQvRPnVf4zT5I0kp?parent_url=https%3A%2F%2Fsecurelist.com%2Fit-threat-evolution-in-q2-2022-non-mobile-statistics%2F107133%2F&src=embed#async_embed

Geography of attacks by ransomware Trojans, Q2 2022 (download)

TOP 10 countries and territories attacked by ransomware Trojans

Country or territory*%**
1Bangladesh1.81
2Yemen1.24
3South Korea1.11
4Mozambique0.82
5Taiwan0.70
6China0.46
7Pakistan0.40
8Angola0.37
9Venezuela0.33
10Egypt0.32

* Excluded are countries and territories with relatively few Kaspersky users (under 50,000).
** Unique users whose computers were attacked by Trojan encryptors as a percentage of all unique users of Kaspersky products in the country.

TOP 10 most common families of ransomware Trojans

NameVerdicts*Percentage of attacked users**
1Stop/DjvuTrojan-Ransom.Win32.Stop17.91
2WannaCryTrojan-Ransom.Win32.Wanna12.58
3MagniberTrojan-Ransom.Win64.Magni9.80
4(generic verdict)Trojan-Ransom.Win32.Gen7.91
5(generic verdict)Trojan-Ransom.Win32.Phny6.75
6(generic verdict)Trojan-Ransom.Win32.Encoder6.55
7(generic verdict)Trojan-Ransom.Win32.Crypren3.51
8(generic verdict)Trojan-Ransom.MSIL.Encoder3.02
9PolyRansom/VirLockTrojan-Ransom.Win32.PolyRansom / Virus.Win32.PolyRansom2.96
10(generic verdict)Trojan-Ransom.Win32.Instructions2.69

* Statistics are based on detection verdicts of Kaspersky products. The information was provided by Kaspersky product users who consented to provide statistical data.
** Unique Kaspersky users attacked by specific ransomware Trojan families as a percentage of all unique users attacked by ransomware Trojans.

Miners

Number of new miner modifications

In Q2 2022, Kaspersky solutions detected 40,788 new modifications of miners. A vast majority of these (more than 35,000) were detected in June. Thus, the spring depression — in March through May we found a total of no more than 10,000 new modifications — was followed by a record of sorts.

https://e.infogram.com/_/vZm5Z2G3sFuuIAqZGWRA?parent_url=https%3A%2F%2Fsecurelist.com%2Fit-threat-evolution-in-q2-2022-non-mobile-statistics%2F107133%2F&src=embed#async_embed

Number of new miner modifications, Q2 2022 (download)

Number of users attacked by miners

In Q2, we detected attacks using miners on the computers of 454,385 unique users of Kaspersky products and services worldwide. We are seeing a reverse trend here: miner attacks have gradually declined since the beginning of 2022.

https://e.infogram.com/_/ibd7ASo3u4ZaWhgBgbcF?parent_url=https%3A%2F%2Fsecurelist.com%2Fit-threat-evolution-in-q2-2022-non-mobile-statistics%2F107133%2F&src=embed#async_embed

Number of unique users attacked by miners, Q2 2022 (download)

Geography of miner attacks

https://e.infogram.com/_/e5HYDOqPpDYZ08UMSsAM?parent_url=https%3A%2F%2Fsecurelist.com%2Fit-threat-evolution-in-q2-2022-non-mobile-statistics%2F107133%2F&src=embed#async_embed

Geography of miner attacks, Q2 2022 (download)

TOP 10 countries and territories attacked by miners

Country or territory*%**
1Rwanda2.94
2Ethiopia2.67
3Tajikistan2.35
4Tanzania1.98
5Kyrgyzstan1.94
6Uzbekistan1.88
7Kazakhstan1.84
8Venezuela1.80
9Mozambique1.68
10Ukraine1.56

* Excluded are countries and territories with relatively few users of Kaspersky products (under 50,000).
** Unique users attacked by miners as a percentage of all unique users of Kaspersky products in the country.

Vulnerable applications used by criminals during cyberattacks

Quarterly highlights

During Q2 2022, a number of major vulnerabilities were discovered in the Microsoft Windows. For instance, CVE-2022-26809 critical error allows an attacker to remotely execute arbitrary code in a system using a custom RPC request. The Network File System (NFS) driver was found to contain two RCE vulnerabilities: CVE-2022-24491 and CVE-2022-24497. By sending a custom network message via the NFS protocol, an attacker can remotely execute arbitrary code in the system as well. Both vulnerabilities affect server systems with the NFS role activated. The CVE-2022-24521 vulnerability targeting the Common Log File System (CLFS) driver was found in the wild. It allows elevation of local user privileges, although that requires the attacker to have gained a foothold in the system. CVE-2022-26925, also known as LSA Spoofing, was another vulnerability found during live operation of server systems. It allows an unauthenticated attacker to call an LSARPC interface method and get authenticated by Windows domain controller via the NTLM protocol. These vulnerabilities are an enduring testament to the importance of timely OS and software updates.

Most of the network threats detected in Q2 2022 had been mentioned in previous reports. Most of those were attacks that involved brute-forcing  access to various web services. The most popular protocols and technologies susceptible to these attacks include MS SQL Server, RDP and SMB. Attacks that use the EternalBlue, EternalRomance and similar exploits are still popular. Exploitation of Log4j vulnerability (CVE-2021-44228) is also quite common, as the susceptible Java library is often used in web applications. Besides, the Spring MVC framework, used in many Java-based web applications, was found to contain a new vulnerability CVE-2022-22965 that exploits the data binding functionality and results in remote code execution. Finally, we have observed a rise in attacks that exploit insecure deserialization, which can also result in access to remote systems due to incorrect or missing validation of untrusted user data passed to various applications.

Vulnerability statistics

Exploits targeting Microsoft Office vulnerabilities grew in the second quarter to 82% of the total. Cybercriminals were spreading malicious documents that exploited CVE-2017-11882 and CVE-2018-0802, which are the best-known vulnerabilities in the Equation Editor component. Exploitation involves the component memory being damaged and a specially designed script, run on the target computer. Another vulnerability, CVE-2017-8570, allows downloading and running a malicious script when opening an infected document, to execute various operations in a vulnerable system. The emergence of CVE-2022-30190or Follina vulnerability also increased the number of exploits in this category. An attacker can use a custom malicious document with a link to an external OLE object, and a special URI scheme to have Windows run the MSDT diagnostics tool. This, in turn, combined with a special set of parameters passed to the victim’s computer, can cause an arbitrary command to be executed — even if macros are disabled and the document is opened in Protected Mode.

https://e.infogram.com/_/1dqpsnMqrH26rdzDOOht?parent_url=https%3A%2F%2Fsecurelist.com%2Fit-threat-evolution-in-q2-2022-non-mobile-statistics%2F107133%2F&src=embed#async_embed

Distribution of exploits used by cybercriminals, by type of attacked application, Q2 2022 (download)

Attempts at exploiting vulnerabilities that affect various script engines and, specifically, browsers, dipped to 5%. In the second quarter, a number of critical RCE vulnerabilities were discovered in various Google Chrome based browsers: CVE-2022-0609CVE-2022-1096, and CVE-2022-1364. The first one was found in the animation component; it exploits a Use-After-Free error, causing memory damage, which is followed by the attacker creating custom objects to execute arbitrary code. The second and third vulnerabilities are Type Confusion errors associated with the V8 script engine; they also can result in arbitrary code being executed on a vulnerable user system. Some of the vulnerabilities discovered were found to have been exploited in targeted attacks, in the wild. Mozilla Firefox was found to contain a high-risk Use-After-Free vulnerability, CVE-2022-1097, which appears when processing NSSToken-type objects from different streams. The browser was also found to contain CVE-2022-28281, a vulnerability that affects the WebAuthn extension. A compromised Firefox content process can write data out of bounds of the parent process memory, thus potentially enabling code execution with elevated privileges. Two further vulnerabilities, CVE-2022-1802 and CVE-2022-1529, were exploited in cybercriminal attacks. The exploitation method, dubbed “prototype pollution”, allows executing arbitrary JavaScript code in the context of a privileged parent browser process.

As in the previous quarter, Android exploits ranked third in our statistics with 4%, followed by exploits of Java applications, the Flash platform, and PDF documents, each with 3%.

Attacks on macOS

The second quarter brought with it a new batch of cross-platform discoveries. For instance, a new APT group Earth Berberoka (GamblingPuppet) that specializes in hacking online casinos, uses malware for Windows, Linux, and macOS. The TraderTraitor campaign targets cryptocurrency and blockchain organizations, attacking with malicious crypto applications for both Windows and macOS.

TOP 20 threats for macOS

Verdict%*
1AdWare.OSX.Amc.e25.61
2AdWare.OSX.Agent.ai12.08
3AdWare.OSX.Pirrit.j7.84
4AdWare.OSX.Pirrit.ac7.58
5AdWare.OSX.Pirrit.o6.48
6Monitor.OSX.HistGrabber.b5.27
7AdWare.OSX.Agent.u4.27
8AdWare.OSX.Bnodlero.at3.99
9Trojan-Downloader.OSX.Shlayer.a3.87
10Downloader.OSX.Agent.k3.67
11AdWare.OSX.Pirrit.aa3.35
12AdWare.OSX.Pirrit.ae3.24
13Backdoor.OSX.Twenbc.e3.16
14AdWare.OSX.Bnodlero.ax3.06
15AdWare.OSX.Agent.q2.73
16Trojan-Downloader.OSX.Agent.h2.52
17AdWare.OSX.Bnodlero.bg2.42
18AdWare.OSX.Cimpli.m2.41
19AdWare.OSX.Pirrit.gen2.08
20AdWare.OSX.Agent.gen2.01

* Unique users who encountered this malware as a percentage of all users of Kaspersky security solutions for macOS who were attacked.

As usual, the TOP 20 ranking for threats detected by Kaspersky security solutions for macOS users is dominated by various adware. AdWare.OSX.Amc.e, also known as Advanced Mac Cleaner, is a newcomer and already a leader, found with a quarter of all attacked users. Members of this family display fake system problem messages, offering to buy the full version to fix those. It was followed by members of the AdWare.OSX.Agent and AdWare.OSX.Pirrit families.

Geography of threats for macOS

https://e.infogram.com/_/sREMxK7Q3GvfvQe7t1Ql?parent_url=https%3A%2F%2Fsecurelist.com%2Fit-threat-evolution-in-q2-2022-non-mobile-statistics%2F107133%2F&src=embed#async_embed

Geography of threats for macOS, Q2 2022 (download)

TOP 10 countries and territories by share of attacked users

Country or territory*%**
1France2.93
2Canada2.57
3Spain2.51
4United States2.45
5India2.24
6Italy2.21
7Russian Federation2.13
8United Kingdom1.97
9Mexico1.83
10Australia1.82

* Excluded from the rating are countries and territories  with relatively few users of Kaspersky security solutions for macOS (under 10,000).
** Unique users attacked as a percentage of all users of Kaspersky security solutions for macOS in the country.

In Q2 2022, the country where the most users were attacked was again France (2.93%), followed by Canada (2.57%) and Spain (2.51%). AdWare.OSX.Amc.e was the most common adware encountered in these three countries.

IoT attacks

IoT threat statistics

In Q2 2022, most devices that attacked Kaspersky traps did so using the Telnet protocol, as before.

Telnet82,93%
SSH17,07%

Distribution of attacked services by number of unique IP addresses of attacking devices, Q2 2022

The statistics for working sessions with Kaspersky honeypots show similar Telnet dominance.

Telnet93,75%
SSH6,25%

Distribution of cybercriminal working sessions with Kaspersky traps, Q2 2022

TOP 10 threats delivered to IoT devices via Telnet

Verdict%*
1Backdoor.Linux.Mirai.b36.28
2Trojan-Downloader.Linux.NyaDrop.b14.66
3Backdoor.Linux.Mirai.ek9.15
4Backdoor.Linux.Mirai.ba8.82
5Trojan.Linux.Agent.gen4.01
6Trojan.Linux.Enemybot.a2.96
7Backdoor.Linux.Agent.bc2.58
8Trojan-Downloader.Shell.Agent.p2.36
9Trojan.Linux.Agent.mg1.72
10Backdoor.Linux.Mirai.cw1.45

* Share of each threat delivered to infected devices as a result of a successful Telnet attack out of the total number of delivered threats.

Detailed IoT-threat statistics are published in the DDoS report for Q2 2022.

Attacks via web resources

The statistics in this section are based on Web Anti-Virus, which protects users when malicious objects are downloaded from malicious/infected web pages. Cybercriminals create these sites on purpose; they can infect hacked legitimate resources as well as web resources with user-created content, such as forums.

TOP 10 countries and territories that serve as sources of web-based attacks

The following statistics show the distribution by country or territory  of the sources of Internet attacks blocked by Kaspersky products on user computers (web pages with redirects to exploits, sites hosting malicious programs, botnet C&C centers, etc.). Any unique host could be the source of one or more web-based attacks.

To determine the geographic source of web attacks, the GeoIP technique was used to match the domain name to the real IP address at which the domain is hosted.

In Q2 2022, Kaspersky solutions blocked 1,164,544,060 attacks launched from online resources across the globe. A total of 273,033,368 unique URLs were recognized as malicious by Web Anti-Virus components.

https://e.infogram.com/_/Mii35djEPWnjaHq4c2Ve?parent_url=https%3A%2F%2Fsecurelist.com%2Fit-threat-evolution-in-q2-2022-non-mobile-statistics%2F107133%2F&src=embed#async_embed

Distribution of web-attack sources by country and territory, Q2 2022 (download)

Countries and territories where users faced the greatest risk of online infection

To assess the risk of online infection faced by users around the world, for each country or territory we calculated the percentage of Kaspersky users on whose computers Web Anti-Virus was triggered during the quarter. The resulting data provides an indication of the aggressiveness of the environment in which computers operate in different countries and territories.

Note that these rankings only include attacks by malicious objects that fall under the Malware class; they do not include Web Anti-Virus detections of potentially dangerous or unwanted programs, such as RiskTool or adware.

Country or territory*%**
1Taiwan26.07
2Hong Kong14.60
3Algeria14.40
4Nepal14.00
5Tunisia13.55
6Serbia12.88
7Sri Lanka12.41
8Albania12.21
9Bangladesh11.98
10Greece11.86
11Palestine11.82
12Qatar11.50
13Moldova11.47
14Yemen11.44
15Libya11.34
16Zimbabwe11.15
17Morocco11.03
18Estonia11.01
19Turkey10.75
20Mongolia10.50

* Excluded are countries and territories with relatively few Kaspersky users (under 10,000).
** Unique users targeted by Malware-class attacks as a percentage of all unique users of Kaspersky products in the country.

On average during the quarter, 8.31% of the Internet users’ computers worldwide were subjected to at least one Malware-class web attack.

https://e.infogram.com/_/ZeKtZKpRpQBrBYKAEvcg?parent_url=https%3A%2F%2Fsecurelist.com%2Fit-threat-evolution-in-q2-2022-non-mobile-statistics%2F107133%2F&src=embed#async_embed

Geography of web-based malware attacks, Q2 2022 (download)

Local threats

In this section, we analyze statistical data obtained from the OAS and ODS modules of Kaspersky products. It takes into account malicious programs that were found directly on users’ computers or removable media connected to them (flash drives, camera memory cards, phones, external hard drives), or which initially made their way onto the computer in non-open form (for example, programs in complex installers, encrypted files, etc.).

In Q2 2022, our File Anti-Virus detected 55,314,176 malicious and potentially unwanted objects.

Countries and territories where users faced the highest risk of local infection

For each country, we calculated the percentage of Kaspersky product users on whose computers File Anti-Virus was triggered during the reporting period. These statistics reflect the level of personal computer infection in different countries and territories.

Note that these rankings only include attacks by malicious programs that fall under the Malware class; they do not include File Anti-Virus triggerings in response to potentially dangerous or unwanted programs, such as RiskTool or adware.

Country or territory*%**
1Turkmenistan47.54
2Tajikistan44.91
3Afghanistan43.19
4Yemen43.12
5Cuba42.71
6Ethiopia41.08
7Uzbekistan37.91
8Bangladesh37.90
9Myanmar36.97
10South Sudan36.60
11Syria35.60
12Burundi34.88
13Rwanda33.69
14Algeria33.61
15Benin33.60
16Tanzania32.88
17Malawi32.65
18Venezuela31.79
19Cameroon31.34
20Chad30.92

*  Excluded are countries with relatively few Kaspersky users (under 10,000).
** Unique users on whose computers Malware-class local threats were blocked, as a percentage of all unique users of Kaspersky products in the country.

Source :
https://securelist.com/it-threat-evolution-in-q2-2022-non-mobile-statistics/107133/

IT threat evolution Q2 2022

Targeted attacks

New technique for installing fileless malware

Earlier this year, we discovered a malicious campaign that employed a new technique for installing fileless malware on target machines by injecting a shellcode directly into Windows event logs. The attackers were using this to hide a last-stage Trojan in the file system.

The attack starts by driving targets to a legitimate website and tricking them into downloading a compressed RAR file that is booby-trapped with the network penetration testing tools Cobalt Strike and SilentBreak. The attackers use these tools to inject code into any process of their choosing. They inject the malware directly into the system memory, leaving no artifacts on the local drive that might alert traditional signature-based security and forensics tools. While fileless malware is nothing new, the way the encrypted shellcode containing the malicious payload is embedded into Windows event logs is.

The code is unique, with no similarities to known malware, so it is unclear who is behind the attack.

WinDealer’s man-on-the-side spyware

We recently published our analysis of WinDealer: malware developed by the LuoYu APT threat actor. One of the most interesting aspects of this campaign is the group’s use of a man-on-the-side attack to deliver malware and control compromised computers. A man-on-the-side attack implies that the attacker is able to control the communication channel, allowing them to read the traffic and inject arbitrary messages into normal data exchange. In the case of WinDealer, the attackers intercepted an update request from completely legitimate software and swapped the update file with a weaponized one.

Observed WinDealer infection flow

The malware does not contain the exact address of the C2 (command-and-control) server, making it harder for security researchers to find it. Instead, it tries to access a random IP address from a predefined range. The attackers then intercept the request and respond to it. To do this, they need constant access to the routers of the entire subnet, or to some advanced tools at ISP level.

Geographic distribution of WinDealer victims

The vast majority of WinDealer’s targets are located in China: foreign diplomatic organizations, members of the academic community, or companies active in the defense, logistics or telecoms sectors. Sometimes, though, the LuoYu APT group will infect targets in other countries: Austria, the Czech Republic, Germany, India, Russia and the US. In recent months, they have also become more interested in businesses located in other East Asian countries and their China-based offices.

ToddyCat: previously unknown threat actor attacks high-profile organizations in Europe and Asia

In June, we published our analysis of ToddyCat, a relatively new APT threat actor that we have not been able to link to any other known actors. The first wave of attacks, against a limited number of servers in Taiwan and Vietnam, targeted Microsoft Exchange servers, which the threat actor compromised with Samurai, a sophisticated passive backdoor that typically works via ports 80 and 443. The malware allows arbitrary C# code execution and is used alongside multiple modules that let the attacker administer the remote system and move laterally within the targeted network. In certain cases, the attackers have used the Samurai backdoor to launch another sophisticated malicious program, which we dubbed Ninja. This is probably a component of an unknown post-exploitation toolkit exclusively used by ToddyCat.

The next wave saw a sudden surge in attacks, as the threat actor began abusing the ProxyLogon vulnerability to target organizations in multiple countries, including Iran, India, Malaysia, Slovakia, Russia and the UK.

Subsequently, we observed other variants and campaigns, which we attributed to the same group. In addition to affecting most of the previously mentioned countries, the threat actor targeted military and government organizations in Indonesia, Uzbekistan and Kyrgyzstan. The attack surface in the third wave was extended to desktop systems.

SessionManager IIS backdoor

In 2021, we observed a trend among certain threat actors for deploying a backdoor within IIS after exploiting one of the ProxyLogon-type vulnerabilities in Microsoft Exchange. Dropping an IIS module as a backdoor enables threat actors to maintain persistent, update-resistant and relatively stealthy access to the IT infrastructure of a target organization — to collect emails, update further malicious access or clandestinely manage compromised servers.

We published our analysis of one such IIS backdoor, called Owowa, last year. Early this year, we investigated another, SessionManager. Developed in C++, SessionManager is a malicious native-code IIS module. The attackers’ aim is for it to be loaded by some IIS applications, to process legitimate HTTP requests that are continuously sent to the server. This kind of malicious modules usually expects seemingly legitimate but specifically crafted HTTP requests from their operators, triggers actions based on the operators’ hidden instructions and then transparently passes the request to the server for it to be processed just as any other request.

Figure 1. Malicious IIS module processing requests

As a result, these modules are not easily spotted through common monitoring practices.

SessionManager has been used to target NGOs and government organizations in Africa, South America, Asia, Europe and the Middle East.

We believe that this malicious IIS module may have been used by the GELSEMIUM threat actor, because of similar victim profiles and the use of a common OwlProxy variant.

Other malware

Spring4Shell

Late in March, researchers discovered a critical vulnerability (CVE-2022-22965) in Spring, an open-source framework for the Java platform. This is a Remote Code Execution (RCE) vulnerability, allowing an attacker to execute malicious code remotely on an unpatched computer. The vulnerability affects the Spring MVC and Spring WebFlux applications running under version 9 or later of the Java Development Kit. By analogy with the well-known Log4Shell vulnerability, this one was dubbed “Spring4Shell”.

By the time researchers had reported it to VMware, a proof-of-concept exploit had already appeared on GitHub. It was quickly removed, but it is unlikely that cybercriminals would have failed to notice such a potentially dangerous vulnerability.

You can find more details, including appropriate mitigation steps, in our blog post.

Actively exploited vulnerability in Windows

Among the vulnerabilities fixed in May’s “Patch Tuesday” update was one that has been actively exploited in the wild. The Windows LSA (Local Security Authority) Spoofing Vulnerability (CVE-2022-26925) is not considered critical per se. However, when the vulnerability is used in a New Technology LAN Manager (NTLM) relay attack, the combined CVSSv3 score for the attack-chain is 9.8. The vulnerability, which allows an unauthenticated attacker to force domain controllers to authenticate with an attacker’s server using NTLM, was already being exploited in the wild as a zero-day, making it a priority to patch it.

Follina vulnerability in MSDT

At the end of May, researchers with the nao_sec team reported a new zero-day vulnerability in MSDT (the Microsoft Support Diagnostic Tool) that can be exploited using a malicious Microsoft Office document. The vulnerability, which has been designated as CVE-2022-30190 and has also been dubbed “Follina”, affects all operating systems in the Windows family, both for desktops and servers.

MSDT is used to collect diagnostic information and send it to Microsoft when something goes wrong with Windows. It can be called up from other applications via the special MSDT URL protocol; and an attacker can run arbitrary code with the privileges of the application that called up the MSD: in this case, the permissions of the user who opened the malicious document.

Kaspersky has observed attempts to exploit this vulnerability in the wild; and we would expect to see more in the future, including ransomware attacks and data breaches.

BlackCat: a new ransomware gang

It was only a matter of time before another ransomware group filled the gap left by REvil and BlackMatter shutting down operations. Last December, advertisements for the services of the ALPHV group, also known as BlackCat, appeared on hacker forums, claiming that the group had learned from the errors of their predecessors and created an improved version of the malware.

The BlackCat creators use the ransomware-as-a-service (RaaS) model. They provide other attackers with access to their infrastructure and malicious code in exchange for a cut of the ransom. BlackCat gang members are probably also responsible for negotiating with victims. This is one reason why BlackCat has gained momentum so quickly: all that a “franchisee” has to do is obtain access to the target network.

The group’s arsenal comprises several elements. One is the cryptor. This is written in the Rust language, allowing the attackers to create a cross-platform tool with versions of the malware that work both in Windows and Linux environments. Another is the Fendr utility (also known as ExMatter), used to exfiltrate data from the infected infrastructure. The use of this tool suggests that BlackCat may simply be a re-branding of the BlackMatter faction, since that was the only known gang to use the tool. Other tools include the PsExec tool, used for lateral movement on the victim’s network; Mimikatz, the well-known hacker software; and the Nirsoft software, used to extract network passwords.

Yanluowang ransomware: how to recover encrypted files

The name Yanluowang is a reference to the Chinese deity Yanluo Wang, one of the Ten Kings of Hell. This ransomware is relatively recent. We do not know much about the victims, although data from the Kaspersky Security Network indicates that threat actor has carried out attacks in the US, Brazil, Turkey and a few other countries.

The low number of infections is due to the targeted nature of the ransomware: the threat actor prepares and implements attacks on specific companies only.

Our experts have discovered a vulnerability that allows files to be recovered without the attackers’ key — although only under certain conditions — with the help of a known-plaintext attack. This method overcomes the encryption algorithm if two versions of the same text are available: one clean and one encrypted. If the victim has clean copies of some of the encrypted files, our upgraded Rannoh Decryptor can analyze these and recover the rest of the information.

There is one snag: Yanluowang corrupts files slightly differently depending on their size. It encrypts small (less than 3 GB) files completely, and large ones, partially. So, the decryption requires clean files of different sizes. For files smaller than 3 GB, it is enough to have the original and an encrypted version of the file that are 1024 bytes or more. To recover files larger than 3 GB, however, you need original files of the appropriate size. However, if you find a clean file larger than 3 GB, it will generally be possible to recover both large and small files.

Ransomware TTPs

In June, we carried out an in-depth analysis of the TTPs (tactics, techniques and procedures) (TTPs) of the eight most widespread ransomware families: Conti/Ryuk, Pysa, Clop, Hive, Lockbit2.0, RagnarLocker, BlackByte and BlackCat. Our aim was to help those tasked with defending corporate systems to understand how ransomware groups operate and how to protect against their attacks.

The report includes the following:

  • The TTPs of eight modern ransomware groups.
  • A description of how various groups share more than half of their components and TTPs, with the core attack stages executed identically across groups.
  • A cyber-kill chain diagram that combines the visible intersections and common elements of the selected ransomware groups and makes it possible to predict the threat actors’ next steps.
  • A detailed analysis of each technique with examples of how various groups use them, and a comprehensive list of mitigations.
  • SIGMA rules based on the described TTPs that can be applied to SIEM solutions.

Ahead of the Anti-Ransomware Day on May 12, we took the opportunity to outline the tendencies that have characterized ransomware in 2022. In our report, we highlight several trends that we have observed.

First, we are seeing more widespread development of cross-platform ransomware, as cybercriminals seek to penetrate complex environments running a variety of systems. By using cross-platform languages such as Rust and Golang, attackers are able to port their code, which allows them to encrypt data on more computers.

Second, ransomware gangs continue to industrialize and evolve into real businesses by adopting the techniques and processes used by legitimate software companies.

Third, the developers of ransomware are adopting a political stance, involving themselves in the conflict between Russia and Ukraine.

Finally, we offer best practices that organizations should adopt to help them defend against ransomware attacks:

  • Keep software updated on all your devices.
  • Focus your defense strategy on detecting lateral movements and data exfiltration.
  • Enable ransomware protection for all endpoints.
  • Install anti-APT and EDR solutions, enabling capabilities for advanced threat discovery and detection, investigation and timely remediation of incidents.
  • Provide your SOC team with access to the latest threat intelligence.

Emotet’s return

Emotet has been around for eight years. When it was first discovered in 2014, its main purpose was stealing banking credentials. Subsequently, the malware underwent numerous transformations to become one of the most powerful botnets ever. Emotet made headlines in January 2021, when its operations were disrupted through the joint efforts of law enforcement agencies in several countries. This kind of “takedowns” does not necessarily lead to the demise of a cybercriminal operation. It took the cybercriminals almost ten months to rebuild the infrastructure, but Emotet did return in November 2021. At that time, the Trickbot malware was used to deliver Emotet, but it is now spreading on its own through malicious spam campaigns.

Recent Emotet protocol analysis and C2 responses suggest that Emotet is now capable of downloading sixteen additional modules. We were able to retrieve ten of these, including two different copies of the spam module, used by Emotet for stealing credentials, passwords, accounts and emails, and to spread spam.

You can read our analysis of these modules, as well as statistics on recent Emotet attacks, here.

Emotet infects both corporate and private computers all around the world. Our telemetry indicates that in the first quarter of 2022, targeted: it mostly targeted users in Italy, Russia, Japan, Mexico, Brazil, Indonesia, India, Vietnam, China, Germany and Malaysia.

Moreover, we have seen a significant growth in the number of users attacked by Emotet.

Mobile subscription Trojans

Trojan subscribers are a well-established method of stealing money from people using Android devices. These Trojans masquerade as useful apps but, once installed, silently subscribe to paid services.

The developers of these Trojans make money through commissions: they get a cut of what the person “spends”. Funds are typically deducted from the cellphone account, although in some cases, these may be debited directly to a bank card. We looked at the most notable examples that we have seen in the last twelve months, belonging to the Jocker, MobOk, Vesub and GriftHorse families.

Normally, someone has to actively subscribe to a service; providers often ask subscribers to enter a one-time code sent via SMS, to counter automated subscription attempts. To sidestep this protection, malware can request permission to access text messages; where they do not obtain this, they can steal confirmation codes from pop-up notifications about incoming messages.

Some Trojans can both steal confirmation codes from texts or notifications, and work around CAPTCHA: another means of protection against automated subscriptions. To recognize the code in the picture, the Trojan sends it to a special CAPTCHA recognition service.

Some malware is distributed through dubious sources under the guise of apps that are banned from official stores, for example, masquerading as apps for downloading content from YouTube or other streaming services, or as an unofficial Android version of GTA5. In addition, they can appear in these same sources as free versions of popular, expensive apps, such as Minecraft.

Other mobile subscription Trojans are less sophisticated. When run for the first time, they ask the user to enter their phone number, seemingly for login purposes. The subscription is issued as soon as they enter their number and click the login button, and the amount is debited to their cellphone account.

Other Trojans employ subscriptions with recurring payments. While this requires consent, the person using the phone might not realize they are signing up for regular automatic payments. Moreover, the first payment is often insignificant, with later charges being noticeably higher.

You can read more about this type of mobile Trojan, along with tips on how to avoid falling victim to it, here.

The threat from stalkerware

Over the last four years, we have published annual reports on the stalkerware situation, in particular using data from the Kaspersky Security Network. This year, our report also included the results of a survey on digital abuse commissioned by Kaspersky and several public organizations.

Stalkerware provides the digital means for a person to secretly monitor someone else’s private life and is often used to facilitate psychological and physical violence against intimate partners. The software is commercially available and can access an array of personal data, including device location, browser history, text messages, social media chats, photos and more. It may be legal to market stalkerware, although its use to monitor someone without their consent is not. Developers of stalkerware benefit from a vague legal framework that still exists in many countries.

In 2021, our data indicated that around 33,000 people had been affected by stalkerware.

The numbers were lower than what we had seen for a few years prior to that. However, it is important to remember that the decrease of 2020 and 2021 occurred during successive COVID-19 lockdowns: that is, during conditions that meant abusers did not need digital tools to monitor and control their partners’ personal lives. It is also important to bear in mind that mobile apps represent only one method used by abusers to track someone — others include tracking devices such as AirTags, laptop applications, webcams, smart home systems and fitness trackers. KSN tracks only the use of mobile apps. Finally, KSN data is taken from mobile devices protected by Kaspersky products: many people do not protect their mobile devices.  The Coalition Against Stalkerware, which brings together members of the IT industry and non-profit companies, believes that the overall number of people affected by this threat might be thirty times higher — that is around a million people!

Stalkerware continues to affect people across the world: in 2021, we observed detections in 185 countries or territories.

Just as in 2020, Russia, Brazil, the US and India were the top four countries with the largest numbers of affected individuals. Interestingly, Mexico had fallen from fifth to ninth place. Algeria, Turkey and Egypt entered the top ten, replacing Italy, the UK and Saudi Arabia, which were no longer in the top ten.

We would recommend the following to reduce your risk of being targeted:

  • Use a unique, complex password on your phone and do not share it with anyone.
  • Try not to leave your phone unattended; and if you have to, lock it.
  • Download apps only from official stores.
  • Protect your mobile device with trustworthy security software and make sure it is able to detect stalkerware.

Remember also that if you discover stalkerware on your phone, dealing with the problem is not as simple as just removing the stalkerware app. This will alert the abuser to the fact that you have become aware of their activities and may precipitate physical abuse. Instead, seek help:  you can find a list or organizations that can provide help and support on the Coalition Against Stalkerware site.

Source :
https://securelist.com/it-threat-evolution-q2-2022/107099/

Threat landscape for industrial automation systems for H1 2022

H1 2022 in numbers

Geography

  • In H1 2022, malicious objects were blocked at least once on 31.8% of ICS computers globally.Percentage of ICS computers on which malicious objects were blocked
  • For the first time in five years of observations, the lowest percentage in the ‎first half of the year was observed in March.‎ During the period from January to March, the percentage of attacked ICS computers decreased by 1.7 p.p.Percentage of ICS computers on which malicious objects were blocked, January – June 2020, 2021, and 2022
  • Among regions, the highest percentage of ICS computers on which malicious objects were blocked was observed in Africa (41.5%). The lowest percentage (12.8%) was recorded in Northern Europe.Percentage of ICS computers on which malicious objects were blocked, in global regions
  • Among countries, the highest percentage of ICS computers on which malicious objects were blocked was recorded in Ethiopia (54.8%) and the lowest (6.8%) in Luxembourg.15 countries and territories with the highest percentage of ICS computers on which malicious objects were blocked, H1 202210 countries and territories with the lowest percentage of ICS computers on which malicious objects were blocked, H1 2022

Threat sources

  • The main sources of threats to computers in the operational technology infrastructure of organizations are internet (16.5%), removable media (3.5%), and email (7.0%).Percentage of ICS computers on which malicious objects from different sources were blocked

Regions

  • Among global regions, Africa ranked highest based on the percentage of ICS computers on which malware was blocked when removable media was connected.Regions ranked by percentage of ICS computers on which malware was blocked when removable media was connected, H1 2022
  • Southern Europe leads the ranking of regions by percentage of ICS computers on which malicious email attachments and phishing links were blocked.Regions ranked by percentage of ICS computers on which malicious email attachments and phishing links were blocked, H1 2022

Industry specifics

  • In the Building Automation industry, the percentage of ICS computers on which malicious email attachments and phishing links were blocked (14.4%) was twice the average value for the entire world (7%).Percentage of ICS computers on which malicious email attachments and phishing links were blocked, in selected industries
  • In the Oil and Gas industry, the percentage of ICS computers on which threats were blocked when removable media was connected (10.4%) was 3 times the average percentage for the entire world (3.5%).Percentage of ICS computers on which threats were blocked when removable media was connected
  • In the Oil and Gas industry, the percentage of ICS computers on which malware was blocked in network folders (1.2%) was twice the world average (0.6%).Percentage of ICS computers on which threats were blocked in network folders

Diversity of malware

  • Malware of different types from 7,219 families was blocked on ICS computers in H1 2022.Percentage of ICS computers on which the activity of malicious objects from different categories was prevented

Ransomware

  • In H1 2022, ransomware was blocked on 0.65% of ICS computers. This is the highest percentage for any six-month reporting period since 2020.Percentage of ICS computers on which ransomware was blocked
  • The highest percentage of ICS computers on which ransomware was blocked was recorded in February (0.27%) and the lowest in March (0.11%). The percentage observed in February was the highest in 2.5 years of observations.Percentage of ICS computers on which ransomware was blocked, January – June 2022
  • East Asia (0.95%) and the Middle East (0.89%) lead the ransomware-based ranking of regions. In the Middle East, the percentage of ICS computers on which ransomware was blocked per six-month reporting period has increased by a factor of 2.5 since 2020.Regions ranked by percentage of ICS computers on which ransomware was blocked, H1 2022
  • Building Automation leads the ranking of industries based on the percentage of ICS computers attacked by ransomware (1%).Percentage of ICS computers on which ransomware was blocked, in selected regions, H1 2022

Malicious documents

  • Malicious documents (MSOffice+PDF) were blocked on 5.5% of ICS computers. This is 2.2 times the percentage recorded in H2 2021. Threat actors distribute malicious documents via phishing emails and actively use such emails as the vector of initial computer infections.Percentage of ICS computers on which malicious documents (MSOffice+PDF) were blocked
  • In the Building Automation industry, the percentage of ICS computers on which malicious office documents were blocked (10.5%) is almost twice the global average.Percentage of ICS computers on which malicious office documents (MSOffice+PDF) were blocked, in selected industries

Spyware

  • Spyware was blocked on 6% of ICS computers. This percentage has been growing since 2020.Percentage of ICS computers on which spyware was blocked
  • Building Automation leads the ranking of industries based on the percentage of ICS computers on which spyware was blocked (12.9%).Percentage of ICS computers on which spyware was blocked, in selected industries

Malware for covert cryptocurrency mining

  • The percentage of ICS computers on which malicious cryptocurrency miners were blocked continued to rise gradually.Percentage of ICS computers on which malicious cryptocurrency miners were blocked
  • Building Automation also leads the ranking of selected industries by percentage of ICS computers on which malicious cryptocurrency miners were blocked.Percentage of ICS computers on which malicious cryptocurrency miners were blocked, in selected industries

The full text of the report has been published on the Kaspersky ICS CERT website.

Source :
https://securelist.com/threat-landscape-for-industrial-automation-systems-for-h1-2022/107373/

Good game, well played: an overview of gaming-related cyberthreats in 2022

The gaming industry went into full gear during the pandemic, as many people took up online gaming as their new hobby to escape the socially-distanced reality. Since then, the industry has never stopped growing. According to the analytical agency Newzoo, in 2022, the global gaming market will exceed $ 200 billion, with 3 billion players globally. Such an engaged, solvent and eager-to-win audience becomes a tidbit for cybercriminals, who always find ways to fool their victims. One of the most outstanding examples involves $2 million‘s worth of CS:GO skins stolen from a user’s account, which means that losses can get truly grave. Besides stealing personal credentials and funds, hackers can affect the performance of gaming computers, infecting these with unsolicited miner files.

In this report, we provide the latest statistics on cyberthreats to gamers, as well as detailed information on the most widespread and dangerous types of malware that players must be aware of.

Methodology

To assess the current landscape of gaming risks, we observed the most widespread PC game-related threats and statistics on miner attacks, threats masquerading as game cheats, stealers, and analyzed several most active malware families, giving them detailed in-depth characteristics. For these purposes, we analyzed threat statistics from Kaspersky Security Network (KSN), a system for processing anonymized cyberthreat-related data shared voluntarily by Kaspersky users, for the period between January 2021 and June 2022.

To limit the research scope, we analyzed several lists of most popular games and based on this, created a list of TOP 28 games and game series available for download or about to be released on the streaming platforms Origin and Steam, as well as platform-independent titles. To make the overview more in-depth, we included both mobile and PC games. Thus, we analyzed threats related to the following titles:

  1. Minecraft
  2. Roblox
  3. Need for Speed
  4. Grand Theft Auto
  5. Call of Duty
  6. FIFA
  7. The Sims
  8. Far Cry
  9. CS:GO
  10. PUBG
  11. Valorant
  12. Resident Evil
  13. Command & Conquer
  14. Hitman
  15. Total War
  16. Cyberpunk 2077
  17. Elden Ring
  18. Final Fantasy
  19. Halo
  20. Legend of Zelda
  21. League of Legends
  22. Dota 2
  23. Apex Legends
  24. World of Warcraft
  25. Gears of War
  26. Tomb Raider
  27. S.T.A.L.K.E.R.
  28. Warhammer

We used the titles of the games as keywords and ran these against our KSN telemetry to determine the prevalence of malicious files and unwanted software related to these games, as well as the number of users attacked by these files. Also, we tracked the number of fake cheat programs for the popular games listed above, and an amount of miners that dramatically affect the performance of gamers’ computers.

Additionally, we looked at the phishing activity around gaming, specifically that related to cybersports tournaments, bookmakers, gaming marketplaces, and gaming platforms, and found numerous examples of scams that target gamers and esports fans.

Key findings

  • The total number of users who encountered gaming-related malware and unwanted software from July 1, 2021 through June 30, 2022 was 384,224, with 91,984 files distributed under the guise of twenty-eight games or series of games;
  • The TOP 5 PC games or game series used as bait in the attacks targeting the largest number of users from July 1, 2021 to June 30, 2022 were Minecraft, Roblox, Need for Speed, Grand Theft Auto and Call of Duty;
  • The number of malicious and unwanted files related to Minecraft dropped by 36% compared to the previous year (23,239 against 36,336), and the number of affected users decreased by almost 30% year on year (131,005 against 184,887);
  • The TOP 5 mobile games that served as a lure targeting the largest number of users from July 1, 2021 to June 30, 2022 were Minecraft, Roblox, Grand Theft Auto, PUBG and FIFA;
  • In the first half of 2022, we observed a noticeable increase in the number of users attacked by programs that can steal secrets, with a 13% increase over the first half of 2021;
  • In the first half of 2022, attackers cranked up their efforts to spread Trojan-PSW: 77% of secret-stealing malware infection cases were linked to Trojan-PSW;
  • Malware and unwanted software distributed as cheat programs stand out as a particular threat to gamers’ security, especially for those who are keen on popular game series: from July 1, 2021 to June 30, 2022 we detected 3,154 unique files of this type that affected 13,689 users;
  • Miners pose an increasing threat to gamers’ productivity, with Far Cry, Roblox, Minecraft, Valorant, and FIFA topping the list of games and game series that were used as a lure for cyberthreats; 1,367 unique files and 3,374 users who encountered these files from July 1, 2021 to June 30, 2022.

Over the course of last year, from July 2021 through June 2022, 91,984 files that included malware and potentially unwanted applications were distributed using the popular game titles as a lure, with 384,224 users encountering these threats globally.

Continuing the trend observed in 2021, Minecraft, the famous sandbox game that has been one of the most-played titles around the world for more than a decade, took first place among the games most often used as bait, with 23,239 files distributed using the Minecraft name affecting 131,005 users from July 2021 through June 2022. However, the number of malicious and unwanted files related to Minecraft dropped by 36% compared to the previous year (36,336), and the number of affected users decreased by almost 30% year on year (184,887).

Roblox, too, entered the TOP 3 games both by number of related malicious or unwanted files (8,903) and affected users (38,838).

Other titles that were most often used as a lure were FIFA, Far Cry, and Call of Duty. A large number of users encountered threats while searching for content related to Need for Speed, GTA, and Call of Duty. These game series, too, have been winning the hearts of players around the world for years.

The TOP 10 games by number of related unique malicious and unwanted files:

NameNumber of unique files*
Minecraft23239
FIFA10776
Roblox8903
Far Cry8736
Call of Duty8319
Need for Speed7569
Grand Theft Auto7125
Valorant5426
The Sims5005
CS:GO4790

* Total number of detected files using game title, from July 1, 2021 to June, 30 2022

The TOP 10 games by number of unique users attacked using the game as a lure:

NameNumber of users*
Minecraft131005
Roblox38838
Need for Speed32314
Grand Theft Auto31752
Call of Duty30401
FIFA26832
The Sims26319
Far Cry18530
CS:GO18031
PUBG9553

Number of unique users affected by threats related to the game, from July 1, 2021 to June, 30 2022

As the mobile gaming market continues to grow, we analyzed KSN data specifically on mobile threats. For the period from July 1, 2021 through June 30, 2022, our telemetry shows that 31,581 mobile users were exposed to game-related malware and potentially unwanted software. The number of unique malicious and unwanted files discovered within the given period is 5,976. Minecraft, Roblox, Grand Theft Auto, PUBG, and FIFA are among the games that ranked highest by number of related threats and affected users.

NameNumber of unique users
Minecraft26270
Roblox1186
Grand Theft Auto927
PUBG666
FIFA619

TOP 5 mobile games used as a lure for distribution of malware and unwanted software, by users, from July 1, 2021 through June, 30 2022

NameNumber of unique files
Minecraft2406
Grand Theft Auto948
PUBG624
Roblox612
FIFA293

TOP 5 mobile games used as a lure for distribution of malware and unwanted software, by files, from July 1, 2021 through June, 30 2022

Cyberthreats using games as a lure

The overall landscape of threats that affect gamers has not changed much since last year. Still, downloaders (88.56%) top the list of malicious and unwanted software being spread using the names of popular games: this type of unsolicited software might not be dangerous in and of itself, but it can be used for loading other threats onto devices. Adware (4.19%) comes second: this type of software displays unwanted (and sometimes irritating) pop-up ads which can appear on a user’s computer or mobile device.

The share of various Trojans that use popular games as a lure remains solid, with Trojan-SMS, Trojan-Downloader, and Trojan-Spy among the TOP 10 threats.

ThreatInfection cases, %
not-a-virus:Downloader88.56
not-a-virus:AdWare4.19
Trojan2.99
DangerousObject0.86
Trojan-SMS0.49
Trojan-Downloader0.48
not-a-virus:WebToolbar0.47
not-a-virus:RiskTool0.45
Exploit0.34
Trojan-Spy0.29

TOP 10 threats distributed worldwide under the guise of popular games, July 1, 2021 through June 30, 2022

Game over: cybercriminals targeting gamers’ accounts and money

When downloading the games from untrustworthy sources, players may receive malicious software that can gather sensitive data like login information or passwords from the victim’s device; and in an attempt to download a desired game for free, find a cool mod or cheat, gamers can actually lose their accounts or even money. The research revealed an increase in attacks using malicious software that steals sensitive data from infected devices. It included such verdicts as Trojan-PSW (Password Stealing Ware) which gathers victims’ credentials, Trojan-Banker which steals payment data, and Trojan-GameThief which collects login information for gaming accounts. From July 1, 2021 through June 30, 2022, Kaspersky security solutions detected a total of 6,491 users affected by 3,705 unique malicious files of these types. In the first half of 2022, we observed a noticeable year-on-year increase in the number of users attacked: 13 percent against the first half of 2021 (2,867 vs 2,533). The number of unique files used to attack users also increased in the first half of 2022 by nearly a quarter, compared to the first half of 2021: from 1,530 to 1,868.

From July 1, 2021 through June 30, 2022, 77% of various data stealer infection cases were Trojan-PSW infections. Another 22% of infection attempts were related to Trojan-Bankers, and Trojan-GameThief files accounted for just 1% of cases.

https://e.infogram.com/_/sqXIxGz0dNPr8LaNoVu5?parent_url=https%3A%2F%2Fsecurelist.com%2Fgaming-related-cyberthreats-2021-2022%2F107346%2F&src=embed#async_embed

Types of malicious software that steals sensitive data from infected devices, distributed worldwide using popular game titles as a lure, July 1, 2021 through June 30, 2022 (download)

The TOP 3 threat families, stealing data from the infected devices, by number of attacked users from July 1, 2021 through June 30, 2022:

  • Trojan-PSW.MSIL.Reline/RedLineRedLine Stealer is a password-stealing software that cybercriminals can buy on hacker forums for a very low price. From July 1, 2021 through June 30, 2022 2,362 unique users were attacked by RedLine, spread by using popular game titles and series as a lure, which makes it the most active data-stealing malware family for the period given. Once executed on the attacked system, RedLine Stealer collects system information, including device user names, the operating system type, and information about the hardware, installed browsers, and antivirus solutions. Its main stealer functionality  involves extracting data such as passwords, cookies, card details, and autofill data from browsers, cryptocurrency wallet secrets, credentials for VPN services, etc. The stolen information is then sent to a remote C&C server controlled by the attackers, who later drain victims’ accounts.The RedLine code specifies that, depending on the configuration the malicious software can steal passwords from browsers, cryptocurrency wallet data, and VPN client passwords
  • Trojan-PSW.Win32.Convagent and Trojan-PSW.Win32.StealerBoth of these verdicts are generic verdicts for various families of malicious software that collect, analyze, and steal data from victims’ infected devices. From July 1, 2021 through June 30, 2022, 1,126 unique users encountered Convagent and 1,024 users encountered Stealer.

Most often, players get malicious software, stealing sensitive data, on their devices when trying to download a popular game from a third-grade website instead of buying it on the official one. For example, under the guise of a number of cracked popular games, attackers spread the Swarez dropper, which we analyzed in detail in our previous gaming-related threats report. Swarez was distributed inside a ZIP archive which contained a password-protected ZIP file and a text document with a password. Launching the malware resulted in decryption and activation of a Trojan-stealer dubbed Taurus. The latter had a wide range of functions: it could steal cookies, saved passwords, autofill data for browser forms and cryptocurrency wallet data, collect system information, steal .txt files from the desktop and make screenshots.

Attackers often purposely seek to spread threats under the guise of games and game series that either have a huge permanent audience (such as Roblox, FIFA, or Minecraft) or were recently released. We found that from July 1, 2021 through June 30, 2022, the TOP 5 game titles that cybercriminals used as a lure to distribute secret-stealing software included Valorant, Roblox, FIFA, Minecraft, and Far Cry.

NameNumber of unique users affected
Valorant1777
Roblox1733
FIFA843
Minecraft708
Far Cry389

TOP 5 game titles used by cybercriminals to lure users into downloading malicious software, stealing secrets from infected devices, from July 1, 2021 through June 30, 2022

Risky money: how to lose instead of gaining

One of the most widespread cyberthreats gamers are exposed to is phishing, a social engineering scheme where an attacker masquerades as a legal and trustworthy entity to encourage the user to give out sensitive data, such as account credentials or financial information.

For the period from July 1st 2021 through June 30th 2022, Kaspersky security solutions detected 3,116,782 attacks connected to phishing activities in online games. One of the key findings in this segment was connected to the attacks aimed at gaining users’ credentials or taking over gaming accounts – especially through social network login.

For instance, we found several examples of phishing activity of this type targeting Grand Theft Auto Online gamers: the cybercriminals created a fake website that launched an in-game money generator. To use it, you have to login with your gaming account. Once the credentials are shared, the cybercrooks get access to such sensitive information as gaming account, telephone number, and even banking details.

A fraudulent money generator offered to GTA Online players

A fraudulent money generator offered to GTA Online players

Offering easy in-game money to achieve phishers’ malicious goals was a noticeable trend in the previous reporting period and remains one. By mimicking Apex Legends, a multiplayer free-to-play hero shooter, scammers created a fake website that invited gamers to take part in a lottery to win in-game coins. To try their luck, players were asked to share their game credentials. Once the username or player ID alongside with password were entered, the account was taken over by the scammers.

The Fake Apex Legends website that invited players to take part in a giveaway of in-game coins. Once the player typed in their username and password, scammers got access to his account

The Fake Apex Legends website that invited players to take part in a giveaway of in-game coins. Once the player typed in their username and password, scammers got access to his account

This year, cybercriminals have learned to mimic the entire interfaces of the in-game stores for many popular game titles. The most notable examples include fake marketplaces launched under the names of CS:GO, PUBG and Warface, which are popular esports disciplines. To achieve better results, players need a decent arsenal of weapons and artifacts that are available in the in-game stores. The scammers created fraudulent stores by copying the appearance of the actual in-game marketplaces to fool players, with the final aim of taking over their accounts or stealing their money.

Fake CS:GO in-game stores created by cybercriminals
Fake CS:GO in-game stores created by cybercriminals

Fake CS:GO in-game stores created by cybercriminals

Scammers create fake in-game store mimicking the PUBG mobile interface. The scheme encourages users to log in using their social media credentials
Scammers create fake in-game store mimicking the PUBG mobile interface. The scheme encourages users to log in using their social media credentials
Scammers create fake in-game store mimicking the PUBG mobile interface. The scheme encourages users to log in using their social media credentials

Scammers create fake in-game store mimicking the PUBG mobile interface. The scheme encourages users to log in using their social media credentials

Unsolicited mining: programs that ruin the gaming experience

Miners are programs that may adversely affect a computer’s productivity. Once a miner file is launched on an affected computer, it starts using the machine’s energy to mine cryptocurrency. When it comes to unsolicited miners that interfere with users’ operating systems against their will, the situation might get even worse – especially for gamers who value the computer’s productivity above all.

According to our analysis, Far Cry, a gaming series that spans 18 years and six editions, proved to be the most popular title among unsolicited miners – both in terms of affected users (1,050) and unique malicious files (510). Other games that make the perfect bait for miners include Minecraft with 406 unique files and Valorant with 93 files. Overall, from July 1st 2021 through June 30th 2022, we managed to detect 1,367 unique mining files which affected 3,374 users. That said, the number of users affected by miners halved in H1 2022 (1002) compared to H1 2021 (2086), which may be linked to the sharp drop in the bitcoin exchange rate. Interestingly, the number of unique miner files rose by 30% in H1 2022 (497) compared to H1 2021 (383).

Under the guise of one of the biggest novelties of 2022, cybercriminals have also distributed malware related to miners. The fantasy role-playing game Elden Ring was used as a lure by cybercriminals who spread OpenSUpdater. OpenSUpdater is a Trojan that pretends to be a cracked version of a game, and, once installed, downloads and installs various unwanted programs and miners to the victim’s device.

The OpenSUpdater campaign only targets users from certain countries, so if the user’s IP address does not satisfy the regional requirements of the distribution server, clean software will be downloaded, e.g., the 7zip archive manager. Less fortunate users will receive an installer that delivers various payloads, including legitimate software, potentially unwanted applications, and miners. Infection chain consists of two stages. At the first stage, a malicious downloader is installed. The code of this downloader is updated by threat actors several times a week by using various obfuscation and anti-emulation techniques. The main purpose of these changes is to complicate threat investigation and detection. The second stage is the installer itself.

Cheating in games, or being cheated?

Every gamer aims for the best performance and results – even when they are not competing for a precious trophy. This explains why cheating will never go out of style. However, some of the cheats can bring more harm than good.

What exactly are cheats? When we talk about cheats, we refer to the programs that help gamers create an advantage beyond the available capabilities by applying special cheat codes or installing software that allows sideways. Cybercriminals try to fool gamers by creating fake cheat programs which, instead of providing advantages, negatively affect computers’ performance or even steal player’s data.

From July 1st 2021 through June 30th 2022, we detected 3,154 unique files distributed as cheat programs for the most popular game titles, with a total of 13,689 users affected. The vast majority of the files mimicking cheat programs were related to Counter Strike: Global Offense (418), Roblox and Valorant (332 files for both), and Total War (284). At the same time, Need for Speed came first by number of unique users exposed to this type of threats (3,256) – this series of games has not lost in its broad popularity after several decades and generations.

Conclusion and Recommendations

The pandemic times greatly boosted the gaming industry, increasing the number of computer game fans several times over.

Despite the fact that the number of users affected by gaming-related threats has dropped, certain gaming threats are still on the rise. Over the past year, we have seen an increase in cybercriminal activity around stealers, which allow attackers to steal bank card data, credentials, and even crypto wallets data from infected devices. In the first half of 2022, we observed a noticeable increase in the number of users attacked by stealers, with a 13 percent increase over the first half of 2021.

We also analyzed which popular games were used as a lure by cybercriminals who distributed malware and unwanted software, and found that most often these were multiplayer gaming platforms, such as Minecraft and Roblox. Worryingly, the primary target audience for these games is children and teenagers, who have much less knowledge of cybersecurity due to a lack of experience. Because of this, we assume that they could become an easy prey for cybercriminals, which means we need to pay special attention to cybersecurity hygiene training for kids.

Traditionally, we have found a lot of different examples of phishing tools spread by cybercriminals to get access to gaming accounts, in-game items or money. Cybercriminals mostly created phishing pages that mimicked the appearance of the games whose users they were targeting. For example, we observed fake in-game stores for PUBG and CS:GO.

Over the years, the gaming industry has grown more and more, and we expect to see new ways of abusing users next year, e.g. by exploiting the theme of esports, which are now gaining popularity around the world. That is why it is so important to stay protected, so you do not lose your money, credentials, or gaming account, which you have built over the years.

Here is what we recommend to stay safe while gaming.

  • Protect your accounts with two-factor authentication whenever possible. At least comb through account settings if you cannot.
  • Use a unique, strong password for each of your accounts. Should one of your passwords get leaked, the rest of your accounts would remain safe.
  • You will benefit greatly from a robust security solution that will protect you from every possible cyberthreat without interfering with your computer’s performance while you are playing.  Kaspersky Total Security plays nicely with Steam and other gaming services.
  • Download your games from official stores like Steam, Apple App Store, Google Play, or Amazon Appstore only. While not 100 % safe, games from these stores undergo a screening process, which makes sure that a random app cannot be published.
  • If your desired title is not available from the official store, purchase it from the official website only. Double-check the URL of the website to make sure it is authentic.
  • Avoid buying the first thing that pops up. Even during Steam’s summer sale, make sure you read a few reviews before forking out the dough for a little-known title. If something is fishy, other people will have figured it out.
  • Beware of phishing campaigns and unfamiliar gamers. Do not open links received by email or in a game chat unless you trust the sender. Do not open files from strangers.
  • Carefully check the address of any website asking for your username and password, as it might be fake.
  • Avoid downloading cracked software or any other illegal content, even if you are redirected to it from a legitimate website.
  • Keep your operating system and other software up to date. Updates can help address many security issues.
  • Do not visit dubious websites when these are offered in search results and do not install anything they offer.
  • Use a robust security solution to protect yourself from malicious software on mobile devices, such as Kaspersky Internet Security for Android.

    Source :
    https://securelist.com/gaming-related-cyberthreats-2021-2022/107346/

Microsoft Warns of Large-Scale Click Fraud Campaign Targeting Gamers

Microsoft said it’s tracking an ongoing large-scale click fraud campaign targeting gamers by means of stealthily deployed browser extensions on compromised systems.

“[The] attackers monetize clicks generated by a browser node-webkit or malicious browser extension secretly installed on devices,” Microsoft Security Intelligence said in a sequence of tweets over the weekend.

The tech giant’s cybersecurity division is tracking the developing threat cluster under the name DEV-0796.

CyberSecurity

Attach chains mounted by the adversary commence with an ISO file that’s downloaded onto a victim’s machine upon clicking on a malicious ad or comments on YouTube. The ISO file, when opened, is designed to install a browser node-webkit (aka NW.js) or rogue browser extension.

Click Fraud Campaign

It’s worth noting that the ISO file masquerades as hacks and cheats for the Krunker first-person shooter game. Cheats are programs that help gamers gain an added advantage beyond the available capabilities during gameplay.

Also used in the attacks are DMG files, which are Apple Disk Image files primarily used to distribute software on macOS, indicating that the threat actors are targeting multiple operating systems.

CyberSecurity

The findings arrive as Kaspersky disclosed details of another campaign that lures gamers looking for cheats on YouTube into downloading self-propagating malware capable of installing crypto miners and other information stealers.

“Malware and unwanted software distributed as cheat programs stand out as a particular threat to gamers’ security, especially for those who are keen on popular game series,” the Russian cybersecurity firm said in a recent report.

Source :
https://thehackernews.com/2022/09/microsoft-warns-of-large-scale-click.html

Qnap QTS 5.0.1.2145 build 20220903

2022-09-15

Applicable Models

  • HS-251+,S2
  • QMiroPlus-201W
  • Mustang-F100,Mustang-V100,Mustang-200-i7-1T-32G-R10,Mustang-200-i5-1T-32G-R10,Mustang-200-C-8G-R10,Mustang-200
  • QBoat Sunny
  • QGD-1600P
  • QGD-1602P
  • QGD-3014-16PT
  • TS-453S Pro,TS-853S Pro
  • TS-531P
  • TS-216,TS-416
  • TS-128A,TS-228A,TS-212P3,TS-130,D1 Rev-B
  • TS-231P3,TS-431P3
  • TS-231P2,TS-431P2
  • TS-831X,TS-531X,TS-431X,TS-431X2,TS-431X3,TS-431KX
  • TS-431XU,TS-831XU,TS-1231XU,TS-431XU-RP,TS-831XU-RP,TS-1231XU-RP,TS-431XeU
  • TS-932X,TS-832X,TS-332X,TS-532X,TS-932PX,TS-832PX
  • TS-432XU-RP,TS-432XU,TS-832XU-RP,TS-832XU,TS-1232XU-RP,TS-1232XU,TS-432PXU,TS-432PXU-RP,TS-832PXU,TS-832PXU-RP,TS-1232PXU,TS-1232PXU-RP
  • TS-133,TS-233,TS-433
  • TS-1635
  • TS-1635AX
  • TS-435XeU
  • TS-231+,TS-431+,TS-131P,TS-231P,TS-431P,TS-131K,TS-231K,TS-431K,D2,D4,D4 Rev-B
  • TS-251,TS-451,TS-651,TS-851,TS-451S,TS-251+,TS-451+,TS-351,D2 Pro Rev-B,D4 Pro Rev-B
  • TS-251A,TS-451A,D2 Pro,D4 Pro
  • TS-251B
  • TS-451DeU,TS-453DU,TS-453DU-RP,TS-853DU-RP,TS-1253DU-RP
  • TS-451U
  • TS-253 Pro,TS-453 Pro,TS-653 Pro,TS-853 Pro,TS-453mini,IS-453S
  • TS-453Bmini,TS-253B,TS-453B,TS-653B,TS-253Be,TS-453Be,TS-453BT3
  • TS-853BU,TS-853BU-RP,TS-1253BU,TS-1253BU-RP,TS-453BU,TS-453BU-RP
  • HS-453DX,TBS-453DX,TS-251D,TS-253D,TS-653D,TS-453D,TS-451D,TS-453Dmini,TS-451D2
  • TBS-453A,TS-253A,TS-453A,TS-653A,TS-853A,D6 Pro,D8 Pro
  • TS-453U,TS-853U,TS-1253U,TS-453U-RP,TS-853U-RP,TS-1253U-RP,R4
  • TVS-463,TVS-663,TVS-863,TVS-863+,TS-563,TS-963X,TS-963N
  • TS-463U,TS-463U-RP,TS-863U,TS-863U-RP,TS-1263U,TS-1263U-RP,TS-463XU,TS-463XU-RP,TS-863XU,TS-863XU-RP,TS-1263XU,TS-1263XU-RP
  • TS-564,HS-264,TBS-464,TS-262C,TS-462C,TS-264C,TS-464C,TS-364,TS-464,TS-664
  • TS-464U,TS-464U-RP,TS-1264U-RP,TS-464eU,TS-864eU,TS-864eU-RP
  • TVS-471,TVS-671,TVS-871,TVS-871T
  • TVS-871U-RP,TVS-1271U-RP,TVS-471U-RP,TVS-471U,R8
  • TVS-672N,TVS-872N,TVS-872X,TVS-672X,TVS-472X,TVS-472XT,TVS-672XT,TVS-872XT
  • TVS-872XU,TVS-872XU-RP,TVS-1272XU-RP,TVS-1672XU-RP,TVS-2472XU-RP,TVS-972XU,TVS-972XU-RP
  • TVS-473,TVS-673,TVS-873,TVS-473e,TVS-673e,TVS-873e
  • TS-h973AX,TS-473A,TS-673A,TS-873A
  • TS-873AU,TS-873AU-RP,TS-1273AU-RP,TS-1673AU-RP,TS-873AeU,TS-873AeU-RP
  • TS-873U,TS-1273U,TS-1673U,TS-873U-RP,TS-1273U-RP,TS-1673U-RP
  • TVS-675
  • TVS-h875U,TVS-h875U-RP,TVS-h1275U-RP,TVS-h1675U-RP
  • TS-1277,TS-877,TS-677,TS-1677X
  • TS-877XU,TS-877XU-RP,TS-1277XU-RP,TS-1677XU-RP,TS-2477XU-RP,TS-977XU-RP,TS-977XU,TS-h1277XU-RP,TS-h977XU-RP,TS-h1677XU-RP,TS-h2477XU-RP
  • TS-EC880 Pro,TS-EC1080 Pro,TVS-EC880,TVS-EC1080,TVS-EC1080+
  • TS-EC880U,TS-EC1280U,TS-EC1680U,TS-EC2480U R2,TVS-EC1280U-SAS-RP R2,TVS-EC1580MU-SAS-RP R2,TVS-EC1680U-SAS-RP R2,TVS-EC2480U-SAS-RP R2,TS-EC2480U,TS-EC880U R2,TS-EC1280U R2,TS-EC1680U R2,TVS-EC1280U-SAS-RP,TVS-EC1580MU-SAS-RP,TVS-EC1680U-SAS-RP,TVS-EC2480U-SAS-RP,R12,R16,R24
  • TVS-682,TVS-882,TVS-1282,TVS-882BR,TVS-882T,TVS-1282T,TVS-682T,TVS-1282T3,TVS-882BRT3
  • TVS-1582TU
  • TS-883XU,TS-883XU-RP,TS-1283XU-RP,TS-1683XU-RP,TS-983XU,TS-983XU-RP,TS-2483XU-RP,TS-h1283XU-RP,TS-h2483XU-RP,TS-h1683XU-RP
  • TS-1685,TS-h886,TS-h686
  • TES-3085U,TES-1885U,TS-1886XU-RP,TS-h1886XU-RP,TS-h1886XU-RP R2
  • TS-2888X,TVS-h1688X,TVS-h1288X
  • TS-h3088XU-RP
  • TDS-16489U
  • TS-h2490FU,TS-h1090FU
  • TS-328,TS-428,TS-230,D2 Rev-B
  • TS-551
  • TS-473,TS-673,TS-873
  • TVS-951X,TVS-951N
  • GM-1000,TNS-h1083X,TNS-h1083X (A Side),TNS-h1083X (B Side)
  • TS-i410X, TS-410E
  • TS-253E,TS-453E
  • TS-h1290FX
  • TVS-882ST,TVS-882ST3
  • TS-h987XU-RP,TS-h1887XU-RP,TS-h2287XU-RP,TS-h3087XU-RP
  • TVS-h474,TVS-h674,TVS-h874

Show less 

Important Notes

  • Out-of-the-box QTS 5.0.1 automatically installs security updates by default. Nevertheless, if you update the firmware from QTS 5.0.0 to 5.0.1, QTS will keep your existing firmware update settings. We recommend checking your firmware update settings in Control Panel > Firmware Update.
  • Removed support for the following developer tools: Node.js v4, Node.js v6, Node.js v8, and Ruby on Rails.
  • Removed support for the following apps or tools: Mono, Perl, and AlarmClock. We recommend running these apps or tools using Container Station if needed.
  • When a release candidate has proven to be stable enough for public use, we name this release candidate as an official release. You will not be notified again for official firmware update if you have already updated your system to this release candidate.

New Features

Control Panel
  • QTS now supports access protection settings for RTRR and Rsync protocols in Control Panel > System > Security.
  • Administrators can now enforce 2-step verification on specific users or groups and then check their current verification status. After this enforcement, selected users must complete 2-step verification setup before proceeding to other operations.
  • To ensure device security, you can now choose to disable USB ports to block all USB devices or only USB storage devices.
Desktop & Login
  • You can now configure the desktop icon size and font size in Desktop > Task Bar > Options >Wallpaper.
File Station
  • You can now share a shared folder via a share link.
Network & Virtual Switch
  • Network & Virtual Switch now displays MTU (Maximum Transmission Unit) values for network interfaces.
SAMBA
  • QTS now supports Microsoft Windows Search Protocol. This allows you to perform quick searches for files and folders in NAS shared folders mounted on Windows 10 via SMB.
Storage&Snapshots
  • Storage & Snapshots now displays topology diagrams for SAS JBOD expansion enclosures to help visualize the arrangement of your storage devices.
  • To ensure the availability of your data, Storage & Snapshots now supports “Replace & Detach”, which allows you to copy data from a faulty disk to a spare disk and then safely detach the faulty disk.
  • You can now use exFAT on ARM-based models without purchasing an exFAT license. Note that we have already added this support for x86-based models in an earlier update.
  • Added support for TCG-Enterprise SEDs. Storage & Snapshots can now display SED types.
  • Snapshot Replica now supports 2-step verification.
  • You can now specify a snapshot deletion policy in Storage & Snapshots > Global Settings.

Enhancement

Control Panel
  • Added an option to force users to change their password upon their first login.
  • Added the following features in Control Panel to optimize the mechanism and workflow of firmware updates:
    • Merged live update settings and auto update settings into a single user interface.
    • Enhanced notifications for firmware updates. Users can choose to postpone or cancel updates before the scheduled update time.
    • Introduced a new update type: important security updates. We recommend selecting this update type in auto update settings to ensure your device security.
  • QTS now displays a warning message in Control Panel > System > Hardware > Hardware Resources when you select a graphics card installed on a PCIe slot that does not support PCIe passthrough.
  • When importing users, you can now choose to require imported users to change their password upon their first login.
  • Shortened the waiting period for auto firmware updates. QTS now starts an auto update within only one hour from the scheduled time if a new firmware version is available for your device.
  • Administrators can now choose to receive notifications upon login if a recommended firmware update is available. (This feature is enabled by default).
  • The default UPS policy is now set to “auto-protection mode” after NAS initialization.
  • You can now create a one-time power schedule.
  • QTS now provides an option in Control Panel to disable the power button. This prevents unexpected shutdown when users press the power button by accident.
  • To prevent malicious usernames and to ensure device security, QTS no longer allows usernames that contain the following characters: { } $ and the space character.
File Station
  • File Station can now convert Apple iWork files to Microsoft Office formats with CloudConvert API v2.
  • Optimized the results of file name sorting for all languages. This helps deliver more consistent sorting results.
  • File Station now provides more information for background tasks to help you understand the detail, status, and progress of each task.
  • Share links now display file thumbnails and allow you to select and download multiple files at the same time. We have also enhanced the UI design to improve your file sharing experience.
Network & Virtual Switch
  • Upgraded jQuery to 3.5.1.
  • Improved the information for the system default gateway and NCSI (Network Connectivity Status Indicator) in Network & Virtual Switch to better explain their behaviors.
  • The TS-x77XU and TS-x83XU models can now update firmware for their network interface cards via Advanced Network Driver.
PHP System Module
  • Upgraded the built-in PHP version to 7.4.20.
SAMABA
  • Users can now enable SMB signing for NAS devices that do not join a domain. To enable this setting, go to Control Panel > Network & File Services > Win/Mac/NFS/WebDAV > Microsoft Networking > Advanced Options.
  • To prevent malware and ransomware from exploiting SMB v1 vulnerabilities, QTS now automatically sets the lowest SMB version to SMB v2 if your lowest SMB version is SMB v1 before this firmware update.
Storage&Snapshots
  • Updated Seagate IronWolf Health Management (IHM) to 2.1.1 to add support for the following drive models: IronWolf 525 SSD 2TB(ZP2000NM30002), IronWolf 525 SSD 1TB(ZP1000NM30002), IronWolf 525 SSD 500GB(ZP500NM30002), IronWolf 16TB(ST16000VN001), IronWolf 14TB(ST14000VN0008), IronWolf Pro 20TB(ST20000NE000), IronWolf 18TB(ST18000VN000), IronWolf 4TB(ST4000VN006).
  • Storage & Snapshots now supports zooming in on hardware model drawings to display component details.
  • Improved the user interface of Snapshot Replica to further enhance usability and user experience.
  • Storage & Snapshots now also displays Snapshot Replica information in Overview > Volume/LUN.

Fixed Issues

  • Fixed an issue where user storage quota would be reset to the default value after users restarted the NAS.

Known Issues

  • QTS and QuTS hero with newer kernel versions do not support ATTO Fibre Channel adapters. If you have already installed an ATTO Fibre Channel adapter on your device, we do not recommend updating the firmware to QTS 5.0.1 or QuTS hero h5.0.1 for the time being.
  • Thunderbolt connection between the NAS and Mac sometimes cannot automatically resume after users restart the NAS.
  • Users cannot connect to the destination NAS of a Snapshot Replica job if their usernames contain a space.
  • After waking up from sleep, the TS-x51 and TS-x53 models cannot detect external drives that do not support sleep mode.
  • Network connection issues may occur when users add both 10 GbE ports of the QXG-10G2SF-CX4 network expansion card to a virtual switch.
  • Users sometimes cannot switch between different FEC (Forward Error Correction) modes for the QXG-25G2SF-CX6LX network expansion card.
  • On some earlier NAS models with ARM processors, heavy I/O operations may cause network connection issues for the QNA-UC5G1T USB-to-Ethernet adapter.

Other Changes

App Center
  • In App Center, the option “Allow installation of applications without a valid digital signature” is now disabled by default after firmware update.
Control Panel
  • Removed certain device information from the login screen to enhance device security.
  • To ensure device security, the “admin” account cannot use the default password (the MAC address of the first network adapter) when changing the password.
Desktop & Login
  • Instead of using the generic alias “appuser”, QuLog Center and Desktop Dashboard now display actual usernames when users access system resources and services via a client app.
  • To enhance device security, the system now asks the “admin” user to change the password when the user logs in with the default password (the MAC address of the first network adapter).
License
  • You no longer need a license to operate QuTScloud installed in Virtualization Station. Note that License Center 1.7.5 (or later) is required for this change.
Storage&Snapshots
  • For a more intuitive workflow, Storage & Snapshots now shows various options (such as “Remove” and “Expand”) on the “Action” menu in Pool/Volume Management.
  • Storage & Snapshots now provides clearer information for the results of IronWolf Health Management (IHM) tests. This allows you to easily check the health of your IronWolf drives.
  • You can now quickly identify and repair volumes that may have potential issues after a power outage or an abnormal shutdown. In Storage & Snapshots > Overview, we now add a link that allows you to perform a file system check on such volumes.
  • VJBOD currently does not support encrypted LUNs.
  • Adjusted some settings in the Volume Creation Wizard to enhance user experience. Thin volume is now the default volume type for volume creation.

    Source :
    https://www.qnap.com/it-it/release-notes/qts/5.0.1.2145/20220903?ref=nas_product

Akamai’s Insights on DNS in Q2 2022

by Or Katz and Jim Black
Data analysis by Gal Kochner and Moshe Cohen

Executive summary

  • Akamai researchers have analyzed malicious DNS traffic from millions of devices to determine how corporate and personal devices are interacting with malicious domains, including phishing attacks, malware, ransomware, and command and control (C2).
  • Akamai researchers saw that 12.3% of devices used by home and corporate users communicated at least once to domains associated with malware or ransomware.
  • 63% of those users’ devices communicated with malware or ransomware domains, 32% communicated with phishing domains, and 5% communicated with C2 domains.
  • Digging further into phishing attacks, researchers found that users of financial services and high tech are the most frequent targets of phishing campaigns, with 47% and 36% of the victims, respectively.
  • Consumer accounts are the most affected by phishing, with 80.7% of the attack campaigns.
  • Tracking 290 different phishing toolkits being reused in the wild, and counting the number of distinct days each kit was reused over Q2 2022, shows that 1.9% of the tracked kits were reactivated on at least 72 days. In addition, 49.6% of the kits were reused for at least five days, demonstrating how many users are being revictimized multiple times. This shows how realistic-looking and dangerous these kits can be, even to knowledgeable users. 
  • The most used phishing toolkit in Q2 2022 (Kr3pto, a phishing campaign that targeted banking customers in the United Kingdom, which evades multi-factor authentication [MFA]) was hosted on more than 500 distinct domains.

Introduction

“It’s always DNS.” Although that is a bit of a tongue-in-cheek phrase in our industry, DNS can give us a lot of information about the threat landscape that exists today. By analyzing information from Akamai’s massive infrastructure, we are able to gain some significant insights on how the internet behaves. In this blog, we will explore these insights into traffic patterns, and how they affect people on the other end of the internet connection. 

Akamai traffic insights

Attacks by category

Based on Akamai’s range of visibility across different industries and geographies, we can see that 12.3% of protected devices attempted to reach out to domains that were associated with malware at least once during Q2 2022. This indicates that these devices might have been compromised. On the phishing and C2 front, we can see that 6.2% of devices accessed phishing domains and 0.8% of the devices accessed C2-associated domains. Although these numbers may seem insignificant, the scale here is in the millions of devices. When this is considered, along with the knowledge that C2 is the most malignant of threats, these numbers are not only significant, they’re cardinal.

Comparing 2022 Q2 results with 2022 Q1 results (Figure 1), we can see a minor increase in all categories in Q2. We attribute those increases to seasonal changes that are not associated with a significant change in the threat landscape.

Fig. 1: Devices exposed to threats — Q1 vs. Q2 Fig. 1: Devices exposed to threats — Q1 vs. Q2

In Figure 2, we can see that of the 12.3% potentially compromised devices, 63% were exposed to threats associated with malware activity, 32% with phishing, and 5% with C2. Access to malware-associated domains does not guarantee that these devices were actually compromised, but provides a strong indication of increased potential risk if the threat wasn’t properly mitigated. However, access to C2-associated domains indicates that the device is most likely compromised and is communicating with the C2 server. This can often explain why the incidence of C2 is lower when compared with malware numbers.

Fig. 2: Potentially compromised devices by category Fig. 2: Potentially compromised devices by category

Phishing attack campaigns 

By looking into the brands that are being abused and mimicked by phishing scams in Q2 2022, categorized by brand industry and number of victims, we can see that high tech and financial brands led with 36% and 47%, respectively (Figure 3). These leading phishing industry categories are consistent with Q1 2022 results, in which high tech and financial brands were the leading categories, with 32% and 31%, respectively. 

Fig. 3: Phishing victims and phishing campaigns by abused brands Fig. 3: Phishing victims and phishing campaigns by abused brands

When taking a different view on the phishing landscape–targeted industries by counting the number of attack campaigns being launched over Q2 2022, we can see that high tech and financial brands are still leading, with 36% and 41%, respectively (Figure 3). The correlation between leading targeted brands when it comes to number of attacks and number of victims is evidence that threat actors’ efforts and resources are, unfortunately, effectively working to achieve their desired outcome.

Akamai’s research does not have any visibility into the distribution channels used to deliver the monitored phishing attacks that led to victims clicking on a malicious link and ending up on the phishing landing page. Yet the strong correlation between different brand segments by number of attack campaigns and the number of victims seems to indicate that the volume of attacks is effective and leads to a similar trend in the number of victims. The correlation might also indicate that the distribution channels used have minimal effect on attack outcome, and it is all about the volume of attacks that lead to the desired success rates.

Taking a closer look at phishing attacks by categorization of attack campaigns — consumers vs. business targeted accounts— we can see that consumer attacks are the most dominant, with 80.7% of the attack campaigns (Figure 4). This domination is driven by the massive demand for consumers’ compromised accounts in dark markets that are then used to launch fraud-related second-phase attacks. However, even with only 19.3% of the attack campaigns, attacks against business accounts should not be considered marginal, as these kinds of attacks are usually more targeted and have greater potential for significant damage. Attacks that target business accounts may lead to a company’s network being compromised with malware or ransomware, or to confidential information being leaked. An attack that begins with an employee clicking a link in a phishing email can end up with the business suffering significant financial and reputational damages.

Fig. 4: Phishing targeted accounts — consumers vs. business  Fig. 4: Phishing targeted accounts — consumers vs. business

Phishing toolkits 

Phishing attacks are an extremely common vector that have been used for many years. The potential impacts and risks involved are well-known to most internet users. However, phishing is still a highly relevant and dangerous attack vector that affects thousands of people and businesses daily. Research conducted by Akamai explains some of the reasons for this phenomenon, and focuses on the phishing toolkits and their role in making phishing attacks effective and relevant. 

Phishing toolkits enable rapid and easy creation of fake websites that mimic known brands. Phishing toolkits enable even non–technically gifted scammers to run phishing scams, and in many cases are being used to create distributed and large-scale attack campaigns. The low cost and availability of these toolkits explains the increasing numbers of phishing attacks that have been seen in the past few years. 

According to Akamai’s research that tracked 290 different phishing toolkits being used in the wild, 1.9% of the tracked kits were reused on at least 72 distinct days over Q2 2022 (Figure 5). Further, 49.6% of the kits were reused for at least five days, and when looking into all the tracked kits, we can see that all of them were reused no fewer than three distinct days over Q2 2022.

Fig. 5: Phishing toolkits by number of reused days Q2 2022 Fig. 5: Phishing toolkits by number of reused days Q2 2022

The numbers showing the heavy reuse phenomenon of the observed phishing kits shed some light on the phishing threat landscape and the scale involved, creating an overwhelming challenge to defenders. Behind the reuse of phishing kits are factories and economic forces that drive the phishing landscape. Those forces include developers who create phishing kits that mimic known brands, later to be sold or shared among threat actors to be reused over and over again with very minimal effort.

Further analysis on the most reused kits in Q2 2022, counting the number of different domains used to deliver each kit, shows that the Kr3pto toolkit was the one most frequently used and was associated with more than 500 domains (Figure 6). The tracked kits are labeled by the name of the brand being abused or by a generic name representing the kit developer signature or kit functionality.

In the case of Kr3pto, the actor behind the phishing kit is a developer who builds and sells unique kits that target financial institutions and other brands. In some cases, these kits target financial firms in the United Kingdom, and they bypass MFA. This evidence also shows that this phishing kit that was initially created more than three years ago is still highly active and effective and being used intensively in the wild.

Fig. 6: Top 10 reused phishing toolkits  Fig. 6: Top 10 reused phishing toolkits

The phishing economy is growing, kits are becoming easier to develop and deploy, and the web is full of abandoned, ready-to-be-abused websites and vulnerable servers and services. Criminals capitalize on these weaknesses to establish a foothold that enables them to victimize thousands of people and businesses daily.

The growing industrial nature of phishing kit development and sales (in which new kits are developed and released within hours) and the clear split between creators and users means this threat isn’t going anywhere anytime soon. The threat posed by phishing factories isn’t just focused on the victims who risk having valuable accounts compromised and their personal information sold to criminals — phishing is also a threat to brands and their stakeholders.

The life span of a typical phishing domain is measured in hours, not days. Yet new techniques and developments by the phishing kit creators are expanding these life spans little by little, and it’s enough to keep the victims coming and the phishing economy moving. 

Summary

This type of research is necessary in the fight to keep our customers safer online. We will continue to monitor these threats and report on them to keep the industry informed.

The best way to stay up to date on this and other research pieces from the Akamai team is to follow Akamai Security Research on Twitter.

Source :
https://www.akamai.com/blog/security-research/q2-dns-akamai-insights

Mitigating Log4j Abuse Using Akamai Guardicore Segmentation

Executive summary

A critical remote code-execution vulnerability (CVE-2021-44228) has been publicly disclosed in Log4j, an open-source logging utility that’s used widely in applications, including many utilized by large enterprise organizations.

The vulnerability allows threat actors to exfiltrate information from, and execute malicious code on, systems running applications that utilize the library by manipulating log messages. There already are reports of servers performing internet-wide scans in attempts to locate vulnerable servers, and our threat intelligence teams are seeing attempts to exploit this vulnerability at alarming volumes. Log4j is incorporated into many popular frameworks and many Java applications, making the impact widespread.

Akamai Guardicore Segmentation is well positioned to address this vulnerability in different ways. It’s highly recommended that organizations update Log4j to its latest version- 2.16.0. Due to the rapidly escalating nature of this vulnerability, Akamai teams will continue to develop and deploy mitigation measures in order to support our customers.

As a follow up to Akamai’s recent post we wanted to provide more detail on how organizations can leverage  Akamai Guardicore Segmentation features to help address log4j exposure.

Log4j vulnerability: scope and impact

Log4j is a Java-based open-source logging library. On December 9, 2021, a critical vulnerability involving unauthenticated remote code execution (CVE-2021-44228) in Log4j was reported, causing concern due to how commonly Log4j is used. In addition to being used directly in a large multitude of applications, Log4j is also incorporated into a host of popular frameworks, including Apache Struts2, Apache Solr, Apache Druid, and Apache Flink.

Although Akamai first observed exploit attempts on the Log4j vulnerability on December 9th, following the widespread publication of the incident, we are now seeing evidence suggesting it could have been around for months. Since widespread publication of the vulnerability, we have seen multiple variants seeking to exploit this vulnerability, at a sustained volume of attack traffic at around 2M exploit requests per hour. The speed at which the variants are evolving is unprecedented.

A compromised machine would allow a threat actor to remotely provide a set of commands which Log4j executes. An attacker would have the ability to run arbitrary commands inside a server. This can allow an attacker to compromise a vulnerable system – including those that might be secured deep inside of a network with no direct access to the internet.

Akamai’s security teams have been monitoring attackers attempting to use Log4j in recent days. Other than the increase in attempted exploitation, Akamai researchers are also seeing attackers using a multitude of tools and attack techniques to get vulnerable components to log malicious content, in order to get remote code execution. This is indicative of threat actors’ ability to exploit a new vulnerability, and the worse the vulnerability is, the quicker they will act.

Mitigating Log4j abuse using Akamai Guardicore Segmentation

Customers using Akamai Guardicore Segmentation can leverage its deep, process level visibility to identify vulnerable applications and potential security risks in the environment. They can then use it to enact precise control over network traffic in order to stop attempted attacks on vulnerable systems, without disruptions to normal business operations. 

Guardicore Hunt customers have their environments monitored and investigated continuously by a dedicated team of security researchers. Alerts on security risks and suggested mitigation steps are immediately sent.

If you’d like to hear more about Akamai Guardicore Segmentation, read more or contact us.

What’s under threat: identify vulnerable Java processes and Log4j abuse

In order to protect against potential Log4j abuse, it is necessary to first identify potentially exploitable processes. This requires deep visibility into network traffic at the process level, which is provided by the Reveal and Insight features of Akamai Guardicore Segmentation. Precise visibility into internet connections and traffic at the process level allows us to see clearly what mitigation steps need to be taken, and visibility tools with historical data are pivotal in helping to prevent disruption to business operations.

Identify internet connected Java applications: using Reveal Explore Map, create a map for the previous week, and filter by java applications- such as tomcat, elastic, logstash- and by applications that have connections to/from the internet. Using this map, you can now see which assets are under potential threat. While this won’t yet identify Log4j applications, this can give you an idea of which machines to prioritize in your mitigation process.

Create a historical map to analyze normal communication patterns: using Reveal Explore Map, create a historical map of previous weeks (excluding the time since Log4j was reported) to view and learn normal communication patterns. Use this information to identify legitimate communications, and respond without disrupting the business. For example, a historical map might indicate what network connections exist under normal circumstances, those could be allowed, while other connections blocked or alerted on. Additionally, compare and contrast with a more recent map to identify anomalies.

Use reveal explore map to identify legitimate communications, and respond without disrupting the business.

Identify applications vulnerable to Log4j abuse: in the query section below, use Query 1 with Insight queries to identify assets that are running Java applications which have Log4j jar files in their directories. This query should return all Log4j packages in your environment, allowing you to assess and address any mitigation steps needed. To better prioritize exposed machines, cross reference the information with the Reveal Explore Map described previously.

Note that this query identifies Log4j packages that exist in the Java process current working directory or sub-directories.

Detect potential exploitation attempts in Linux logs: run an Insight query using YARA signature rule (Query 2, provided below in the query section) to search for known Log4j IoCs in the logs of linux machines. This can help you identify whether you’ve been attacked.

Note, a negative result does not necessarily mean that no attack exists, as this is only one of many indicators.

Stopping the attack: using Guardicore Segmentation to block malicious IoCs and attack vectors

It is imperative to be able to take action, once vulnerable applications have been identified. While patching is underway, Akamai Guardicore Segmentation offers a multitude of options for alerting on, stopping and preventing potential attacks. Critically, a solution with detailed and precise control over network communication and traffic is required to be able to surgically block or isolate attack vectors, with minimal to no disruption to normal business functions.

Automatically block IoC’s with Threat Intelligence Firewall (TIFW) and DNS Security: Akamai security teams are working around the clock to identify IPs and Domains used for Log4j exploitation. Customers who have these features turned on can expect a constantly updated list of IoCs to be blocked, preventing Log4j being used to download malicious payloads. Note that TIFW can be set to alert or block, please ensure it’s configured correctly. DNS Security is available from V41 onwards. The IoCs are also available on the Guardicore Threat Intel Repository and Guardicore Reputation Service.

Fully quarantine compromised servers: if compromised machines are identified during your investigation, use Akamai Guardicore Segmentation to isolate attacked/vulnerable servers from the rest of your network. Leverage built-in templates to easily enable deployment of segmentation policy to mitigate attacks.

Block inbound and outbound traffic to vulnerable assets: as a precautionary measure, you may also choose to block traffic to all machines identified with an unpatched version of Log4j, until patching is completed. Using a historical map of network traffic can help you limit the impact on business operations.

Create block rules for outgoing traffic from Java applications to the internet: if necessary, all internet-connected Java applications revealed in previous steps can be blocked from accessing the internet, as an additional precaution, until patching is complete.

Search queries

Query 1: To Identify assets that are running Java applications, which also have a Log4j jar file under their directories, run the following Insight query:

This query identifies assets that are running Java applications, which also have a Log4j jar file under their directories.

Query 2: To detect potential exploitation attempts, run an Insight query using YARA signature rules (our thanks to Florian Roth who published the original rule): 

SELECT path, count FROM yara WHERE path LIKE '/var/log/%%' AND sigrule = "rule EXPL_Log4j_CallBackDomain_IOCs_Dec21_1 {
strings:
$xr1 = /\b(ldap|rmi):\/\/([a-z0-9\.]{1,16}\.bingsearchlib\.com|[a-z0-9\.]{1,40}\.interact\.sh|[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}):[0-9]{2,5}\/([aZ]|ua|Exploit|callback|[0-9]{10}|http443useragent|http80useragent)\b/
condition:
1 of them
}
rule EXPL_JNDI_Exploit_Patterns_Dec21_1 {
strings:
$ = {22 2F 42 61 73 69 63 2F 43 6F 6D 6D 61 6E 64 2F 42 61 73 65 36 34 2F 22}
$ = {22 2F 42 61 73 69 63 2F 52 65 76 65 72 73 65 53 68 65 6C 6C 2F 22}
$ = {22 2F 42 61 73 69 63 2F 54 6F 6D 63 61 74 4D 65 6D 73 68 65 6C 6C 22}
$ = {22 2F 42 61 73 69 63 2F 4A 65 74 74 79 4D 65 6D 73 68 65 6C 6C 22}
$ = {22 2F 42 61 73 69 63 2F 57 65 62 6C 6F 67 69 63 4D 65 6D 73 68 65 6C 6C 22}
$ = {22 2F 42 61 73 69 63 2F 4A 42 6F 73 73 4D 65 6D 73 68 65 6C 6C 22}
$ = {22 2F 42 61 73 69 63 2F 57 65 62 73 70 68 65 72 65 4D 65 6D 73 68 65 6C 6C 22}
$ = {22 2F 42 61 73 69 63 2F 53 70 72 69 6E 67 4D 65 6D 73 68 65 6C 6C 22}
$ = {22 2F 44 65 73 65 72 69 61 6C 69 7A 61 74 69 6F 6E 2F 55 52 4C 44 4E 53 2F 22}
$ = {22 2F 44 65 73 65 72 69 61 6C 69 7A 61 74 69 6F 6E 2F 43 6F 6D 6D 6F 6E 73 43 6F 6C 6C 65 63 74 69 6F 6E 73 31 2F 44 6E 73 6C 6F 67 2F 22}
$ = {22 2F 44 65 73 65 72 69 61 6C 69 7A 61 74 69 6F 6E 2F 43 6F 6D 6D 6F 6E 73 43 6F 6C 6C 65 63 74 69 6F 6E 73 32 2F 43 6F 6D 6D 61 6E 64 2F 42 61 73 65 36 34 2F 22}
$ = {22 2F 44 65 73 65 72 69 61 6C 69 7A 61 74 69 6F 6E 2F 43 6F 6D 6D 6F 6E 73 42 65 61 6E 75 74 69 6C 73 31 2F 52 65 76 65 72 73 65 53 68 65 6C 6C 2F 22}
$ = {22 2F 44 65 73 65 72 69 61 6C 69 7A 61 74 69 6F 6E 2F 4A 72 65 38 75 32 30 2F 54 6F 6D 63 61 74 4D 65 6D 73 68 65 6C 6C 22}
$ = {22 2F 54 6F 6D 63 61 74 42 79 70 61 73 73 2F 44 6E 73 6C 6F 67 2F 22}
$ = {22 2F 54 6F 6D 63 61 74 42 79 70 61 73 73 2F 43 6F 6D 6D 61 6E 64 2F 22}
$ = {22 2F 54 6F 6D 63 61 74 42 79 70 61 73 73 2F 52 65 76 65 72 73 65 53 68 65 6C 6C 2F 22}
$ = {22 2F 54 6F 6D 63 61 74 42 79 70 61 73 73 2F 54 6F 6D 63 61 74 4D 65 6D 73 68 65 6C 6C 22}
$ = {22 2F 54 6F 6D 63 61 74 42 79 70 61 73 73 2F 53 70 72 69 6E 67 4D 65 6D 73 68 65 6C 6C 22}
$ = {22 2F 47 72 6F 6F 76 79 42 79 70 61 73 73 2F 43 6F 6D 6D 61 6E 64 2F 22}
$ = {22 2F 57 65 62 73 70 68 65 72 65 42 79 70 61 73 73 2F 55 70 6C 6F 61 64 2F 22}
condition:
1 of them
}
rule EXPL_Log4j_CVE_2021_44228_JAVA_Exception_Dec21_1 {
strings:
$xa1 = {22 68 65 61 64 65 72 20 77 69 74 68 20 76 61 6C 75 65 20 6F 66 20 42 61 64 41 74 74 72 69 62 75 74 65 56 61 6C 75 65 45 78 63 65 70 74 69 6F 6E 3A 20 22}
$sa1 = {22 2E 6C 6F 67 34 6A 2E 63 6F 72 65 2E 6E 65 74 2E 4A 6E 64 69 4D 61 6E 61 67 65 72 2E 6C 6F 6F 6B 75 70 28 4A 6E 64 69 4D 61 6E 61 67 65 72 22}
$sa2 = {22 45 72 72 6F 72 20 6C 6F 6F 6B 69 6E 67 20 75 70 20 4A 4E 44 49 20 72 65 73 6F 75 72 63 65 22}
condition:
$xa1 or all of ($sa*)
}
rule EXPL_Log4j_CVE_2021_44228_Dec21_Soft {
strings:
$ = {22 24 7B 6A 6E 64 69 3A 6C 64 61 70 3A 2F 22}
$ = {22 24 7B 6A 6E 64 69 3A 72 6D 69 3A 2F 22}
$ = {22 24 7B 6A 6E 64 69 3A 6C 64 61 70 73 3A 2F 22}
$ = {22 24 7B 6A 6E 64 69 3A 64 6E 73 3A 2F 22}
$ = {22 24 7B 6A 6E 64 69 3A 69 69 6F 70 3A 2F 22}
$ = {22 24 7B 6A 6E 64 69 3A 68 74 74 70 3A 2F 22}
$ = {22 24 7B 6A 6E 64 69 3A 6E 69 73 3A 2F 22}
$ = {22 24 7B 6A 6E 64 69 3A 6E 64 73 3A 2F 22}
$ = {22 24 7B 6A 6E 64 69 3A 63 6F 72 62 61 3A 2F 22}
condition:
1 of them
}
rule EXPL_Log4j_CVE_2021_44228_Dec21_OBFUSC {
strings:
$x1 = {22 24 25 37 42 6A 6E 64 69 3A 22}
$x2 = {22 25 32 35 32 34 25 32 35 37 42 6A 6E 64 69 22}
$x3 = {22 25 32 46 25 32 35 32 35 32 34 25 32 35 32 35 37 42 6A 6E 64 69 25 33 41 22}
$x4 = {22 24 7B 6A 6E 64 69 3A 24 7B 6C 6F 77 65 72 3A 22}
$x5 = {22 24 7B 3A 3A 2D 6A 7D 24 7B 22}
condition:
1 of them
}
rule EXPL_Log4j_CVE_2021_44228_Dec21_Hard {
strings:
$x1 = /\$\{jndi:(ldap|ldaps|rmi|dns|iiop|http|nis|nds|corba):\/[\/]?[a-z-\.0-9]{3,120}:[0-9]{2,5}\/[a-zA-Z\.]{1,32}\}/
$fp1r = /(ldap|rmi|ldaps|dns):\/[\/]?(127\.0\.0\.1|192\.168\.|172\.[1-3][0-9]\.|10\.)/
condition:
$x1 and not 1 of ($fp*)
}
rule SUSP_Base64_Encoded_Exploit_Indicators_Dec21 {
strings:
/* curl -s */
$sa1 = {22 59 33 56 79 62 43 41 74 63 79 22}
$sa2 = {22 4E 31 63 6D 77 67 4C 58 4D 67 22}
$sa3 = {22 6A 64 58 4A 73 49 43 31 7A 49 22}
/* |wget -q -O- */
$sb1 = {22 66 48 64 6E 5A 58 51 67 4C 58 45 67 4C 55 38 74 49 22}
$sb2 = {22 78 33 5A 32 56 30 49 43 31 78 49 43 31 50 4C 53 22}
$sb3 = {22 38 64 32 64 6C 64 43 41 74 63 53 41 74 54 79 30 67 22}
condition:
1 of ($sa*) and 1 of ($sb*)
}
rule SUSP_JDNIExploit_Indicators_Dec21 {
strings:
$xr1 = /(ldap|ldaps|rmi|dns|iiop|http|nis|nds|corba):\/\/[a-zA-Z0-9\.]{7,80}:[0-9]{2,5}\/(Basic\/Command\/Base64|Basic\/ReverseShell|Basic\/TomcatMemshell|Basic\/JBossMemshell|Basic\/WebsphereMemshell|Basic\/SpringMemshell|Basic\/Command|Deserialization\/CommonsCollectionsK|Deserialization\/CommonsBeanutils|Deserialization\/Jre8u20\/TomcatMemshell|Deserialization\/CVE_2020_2555\/WeblogicMemshell|TomcatBypass|GroovyBypass|WebsphereBypass)\//
condition:
filesize < 100MB and $xr1
}
rule SUSP_EXPL_OBFUSC_Dec21_1{
strings:
/* ${lower:X} - single character match */
$ = { 24 7B 6C 6F 77 65 72 3A ?? 7D }
/* ${upper:X} - single character match */
$ = { 24 7B 75 70 70 65 72 3A ?? 7D }
/* URL encoded lower - obfuscation in URL */
$ = {22 24 25 37 62 6C 6F 77 65 72 3A 22}
$ = {22 24 25 37 62 75 70 70 65 72 3A 22}
$ = {22 25 32 34 25 37 62 6A 6E 64 69 3A 22}
$ = {22 24 25 37 42 6C 6F 77 65 72 3A 22}
$ = {22 24 25 37 42 75 70 70 65 72 3A 22}
$ = {22 25 32 34 25 37 42 6A 6E 64 69 3A 22}
condition:
1 of them
}"
AND count > 0 AND path NOT LIKE "/var/log/gc%"

Source :
https://www.akamai.com/blog/security/recommendations-for-log4j-mitigation