Cloud VPN vs. Traditional VPN: Which One’s Best for Your Business?

16.08.2023

Are you struggling to decide between a cloud VPN vs. traditional VPN for your business? 

You’re not alone. Many companies grapple with this decision, still determining which option best meets their needs.

The pain of making the wrong choice is real. Opt for a solution that doesn’t align with your business needs, and you could face slow connection speeds, increased security risks, or even inflated costs. Worse, you might be locked into a solution that doesn’t scale with your business, leading to even more headaches.

The world of VPNs can be complex and confusing, with each type boasting its features, benefits, and drawbacks. It’s easy to feel overwhelmed, unsure of which path to take.

In this article, we’ll demystify the differences between cloud VPN vs. traditional VPN, providing you with the information you need to make an informed decision. We’ll explore how each type works, its advantages, and its key differences. 

What is a Cloud VPN? 

Cloud VPN is a service that provides secure and private internet access to users. Cloud VPNs are hosted in the cloud, meaning they can be accessed from anywhere worldwide, making them an ideal choice for businesses with a remote workforce or multiple office locations.

Cloud VPNs are more scalable, flexible, and efficient than their traditional counterparts. They can quickly adapt to the needs of businesses, whether it’s accommodating growth, supporting mobile devices, or providing global accessibility. 

This adaptability makes Cloud VPNs popular for companies looking to secure their data without sacrificing convenience or performance.

How Do Cloud VPNs Work?

Cloud VPNs create a secure pathway, an encrypted tunnel, between the user’s device and the internet. This tunnel acts as a safe conduit for data to travel, ensuring that all information passing through it’s protected from external threats such as hackers or malware.

When users connect to a Cloud VPN, their device communicates with the VPN server in the cloud. The server then encrypts the user’s data before it’s sent over the internet. This encryption makes the data unreadable to anyone who might intercept it, ensuring its security.

A Cloud VPN also masks the user’s IP address, replacing it with the IP address of the VPN server. This provides an additional layer of privacy, preventing third parties from tracking the user’s online activities or determining their physical location.

Types of Cloud VPNs

Businesses come in all shapes and sizes, and so do their networking needs. That’s why Cloud VPNs are versatile, offering different types to suit various requirements. Here are the two main types of Cloud VPNs:

Remote Access VPNs 

Designed for the modern workforce, these VPNs allow individual users to securely access a private network from anywhere. Ideal for remote workers or teams spread across multiple locations, they ensure secure access to company resources.

Site-to-Site Connection VPNs

Site-to-site connection VPNs connect entire networks, providing a secure bridge for data to travel between different office locations or between a business and its partners or clients. Ideal for companies with multiple office locations.

The Main Benefits of Cloud VPNs 

Cloud VPNs offer several advantages over traditional VPNs. These include:

Direct Cloud Access

Cloud VPNs provide direct access to cloud services, reducing latency and improving performance.

Global Accessibility

They are hosted in the cloud and can be accessed from anywhere worldwide.

Flexibility 

They can be easily scaled up or down based on the needs of the business.

Scalability 

They can support many users without the need for significant hardware investment.

Mobile Support

They are designed to work well with mobile devices, supporting the modern mobile workforce.

Cost Efficiency 

They eliminate the need for expensive hardware and maintenance costs associated with traditional VPNs.

What is a Traditional VPN (remote VPN)?

A traditional VPN, also known as a remote VPN, is a technology that creates a secure connection over a less secure network between the user’s computer and a private network. 

Remote workers widely use this technology to access company resources they wouldn’t otherwise be able to reach. It’s also used by individuals who want to ensure their online activity is private and secure.

How Do Remote VPNs Work?

A cloud VPN vs. traditional VPN comparison reveals how remote VPNs function. These systems create a secure tunnel between the user’s device and the VPN server. The data traveling through this tunnel is encrypted, offering a safe method for transmitting information between the remote user and the company network.

The VPN server, acting as a go-between, conceals your IP address and gives the impression that your traffic originates from its IP address. This covers your online activities from your ISP and creates the illusion that you’re located where the VPN server is. This can be particularly useful for accessing content that is region-restricted.

In a hosted VPN service, the server is maintained by a third-party provider, reducing the burden on your IT resources.

Advantages of Traditional VPNs

Traditional VPNs offer several benefits, including:

  • Security: Traditional VPNs use advanced encryption protocols to secure your data, protecting your information from hackers and other cyber threats.
  • Privacy: By masking your IP address, a VPN ensures that your online activities remain private.
  • Remote access: VPNs allow remote workers to securely access their company’s network from anywhere in the world.
  • Bypassing geo-restrictions: VPNs can make it appear as though you’re browsing from a different location, allowing you to access content that may be region-locked.
  • Cost-effective: Many VPN services are available at a relatively low cost, and the security benefits they provide can save businesses money in the long run by preventing data breaches.

Cloud VPN vs. Traditional VPN: the Main Differences

Regarding cloud VPN vs. traditional VPN, it’s essential to understand that both have strengths and weaknesses. However, the transition from traditional VPN to cloud VPN has really underscored how good the cloud is at addressing the limitations of traditional VPN technologies.

Cloud VPNs eliminate network choke points by allowing users to connect directly to the required network, whether cloud-based or on-premises. This direct connection reduces bandwidth consumption and latency, enhancing user experience. 

Also, cloud VPNs centralize remote access security, simplifying setting up and maintaining security policies across all cloud platforms.

Unlike traditional VPNs, which have hard limits on bandwidth and user numbers, cloud VPNs can scale to meet changing business requirements. Still, as we delve deeper into the differences, you’ll see that the choice between cloud and traditional VPNs depends on your business’s needs.

Features 

Cloud VPNs are known for their scalability, cost-efficiency, and enhanced security features. They’re implemented as cloud-based services, making them more flexible and globally accessible. On the other hand, traditional VPNs are network appliances that provide secure, remote access to company networks but may lack the flexibility and scalability of their cloud counterparts.

Performance

Performance is a key differentiator. Cloud VPNs, running in data centers, offer high-speed connections not limited by network speed, unlike hardware VPNs. They also eliminate backhaul, allowing users to connect directly to cloud-based networks, improving network performance and reducing latency.

Support

In terms of support, Cloud VPNs have an edge. They can quickly adopt new security features and vulnerability patches, making them more secure than on-premise VPNs. Traditional VPNs, however, may require more time and resources to implement such updates.

Pricing 

Pricing is a significant factor in cloud VPN vs. traditional VPN. Cloud VPNs are generally more affordable, with usage-based VPN-as-a-Service (VPNaaS) fees being more cost-effective than the expenses associated with deploying, maintaining, and upgrading VPN hardware.

So, Which Should You Choose: A Cloud Vpn or a Traditional Vpn?

Choosing between a cloud VPN vs. a traditional VPN for your business largely depends on your specific needs and circumstances. However, it’s crucial to consider the evolution of technology and the increasing demand for robust, flexible, and secure networking solutions.

Cloud VPNs offer a more flexible and scalable solution than traditional VPNs. On the other hand, traditional VPNs have been a staple in the security landscape for decades.

However, as businesses adapt to an increasingly digital landscape, the demand for secure, remote access to resources is rising. This has led to the emergence of alternatives to both cloud VPN and traditional VPN. 

Two such alternatives are:

  • Zero Trust Network Access (ZTNA)This modern approach to network access enhances security by verifying every connection attempt and limiting access privileges to only what users need to perform their tasks. This reduces the risk of data breaches and ensures a secure network environment.
  • Software-Defined Perimeter (SDP): Offering a flexible, scalable, and secure solution, the SDP model creates a dynamic, individualized perimeter for each user. This adaptability ensures robust security without compromising user experience, making it an attractive business option.

We offer a comprehensive solution that implements the Zero Trust model, providing businesses with a secure, flexible, and scalable alternative to both Cloud VPN and Traditional VPN. This solution combines the strengths of both ZTNA and SDP, ensuring that your business is equipped with the most robust and adaptable network security measures available today.

Ready to secure your business’s digital infrastructure and enhance your network’s performance? Want to benefit from a solution that aligns with your specific needs? Book a demo today!

Source :
https://www.perimeter81.com/blog/network/cloud-vpn-vs-traditional-vpn

New SEC Cybersecurity Rules: What You Need to Know

By: Greg Young – Trendmicro
August 03, 2023
Read time: 4 min (1014 words)

The US Securities and Exchange Commission (SEC) recently adopted rules regarding mandatory cybersecurity disclosure. Explore what this announcement means for you and your organization.

On July 26, 2023, the US Securities and Exchange Commission (SEC) adopted rules regarding mandatory cybersecurity disclosure. What does this mean for you and your organization? As I understand them, here are the major takeaways that cybersecurity and business leaders need to know:

Who does this apply to?

The rules announced apply only to registrants of the SEC i.e., companies filing documents with the US SEC. Not surprisingly, this isn’t limited to attacks on assets located within the US, so incidents concerning SEC registrant companies’ assets in other countries are in scope. This scope also, not surprisingly, does not include the government, companies not subject to SEC reporting (i.e., privately held companies), and other organizations.

Breach notification for these others will be the subject of separate compliance regimes, which will hopefully, at some point in time, be harmonized and/or unified to some degree with the SEC reporting.

Advice for security leaders: be aware that these new rules could require “double reporting,” such as for publicly traded critical infrastructure companies. Having multiple compliance regimes, however, is not new for cybersecurity.

What are the general disclosure requirements?

Some pundits have said “four days after an incident” but that’s not quite correct. The SEC says that “material breaches” must be reported “four business days after a registrant determines that a cybersecurity incident is material.”

We’ve hit the first squishy bit: materiality. Directing companies to disclose material events shouldn’t be necessary before there’s a mixed record of companies making materiality for public company operation. But what kind of cybersecurity incident would be likely to be important to a reasonable investor?

We’ve seen giant breaches that paradoxically did not move stock prices, and minor breaches that did the opposite. I’m clearly on the side of compliance and disclosure, but I recognize it is a gray area. Recently we saw some companies that had the MOVEit vulnerability exploited but had no data loss. Should they report? But in some cases, their response to the vulnerability was in the millions: how about then? I expect and hope there will be further guidance.

Advice for security leaders: monitor the breach investigation and monitor the analysis of materiality. Security leaders won’t often make that call but should give guidance and continuous updates to the CxO who are responsible.

The second squishy bit is that the requirement is the reporting should be made four days after determining the incident is material. So not four days after the incident, but after the materiality determination. I understand why it was structured this way, as a small indicator of compromise must be followed up before understanding the scope and nature of a breach, including whether a breach has occurred at all. But this does give a window to some of the foot-dragging for disclosure we’ve unfortunately seen, including product companies with vulnerabilities.

Advice for security leaders: make management aware of the four-day reporting requirement and monitor the clock once the material line is crossed or identified.

Are there extensions?

There are, but not because you need more time. Instead “The disclosure may be delayed if the United States Attorney General determines that immediate disclosure would pose a substantial risk to national security or public safety and notifies the Commission of such determination in writing.” Note that it specifically states that the Attorney General (AG) makes that determination, and the AG communicates this to the SEC. There could be some delegation of this authority within the Department of Justice in the future, but today it is the AG.

How does it compare to other countries and compliance regimes?

Breach and incident reporting and disclosure is not new, and the concept of reporting material events is already commonplace around the world. GDPR breach reporting is 72 hours, HHS HIPAA requires notice not later than 60 days and 90 days to individuals affected, and the UK Financial Conduct Authority (FCA) has breach reporting requirements. Canada has draft legislation in Bill C-26 that looks at mandatory reporting through the lens of critical industries, which includes verticals such as banking and telecoms but not public companies. Many of the world’s financial oversight bodies do not require breach notification for public companies in the exchanges they are responsible for.

Advice to security leaders: consider the new SEC rules as clarification and amplification of existing reporting requirements for material events rather than a new regime or something that is harsher or different to other geographies.

Is breach reporting the only new rule?

No, I’ve only focused on incident reporting in this post. There’s a few more. The two most noteworthy ones are:

  • Regulation S-K Item 106, requiring registrants to “describe their processes, if any, for assessing, identifying, and managing material risks from cybersecurity threats, as well as the material effects or reasonably likely material effects of risks from cybersecurity threats and previous cybersecurity incidents.”
  • Also specified is that annual 10-Ks “describe the board of directors’ oversight of risks from cybersecurity threats and management’s role and expertise in assessing and managing material risks from cybersecurity threats.”

Bottom line

SEC mandatory reporting for material cybersecurity events was already a requirement under the general reporting requirements, however the timelines and nature of the reporting are getting real and have a ticking four-day timer on them.

Stepping back from the rules, the importance of visibility and continuous monitoring are the real takeaways. Time to detection can’t be at the speed of your least experienced analyst. Platform means unified visibility rather than a wall of consoles. Finding and stopping breaches means internal visibility must include a rich array of telemetry, and that it be continuously monitored.

Many SEC registrants have operations outside the US, and that means visibility needs to include threat intelligence that is localized to other geographies. These new SEC rules show more than ever that that cyber risk is business risk.

To learn more about cyber risk management, check out the following resources:

Source :
https://www.trendmicro.com/en_us/research/23/h/sec-cybersecurity-rules-2023.html

Cybersecurity Threat 1H 2023 Brief with Generative AI

By: Trend Micro
August 08, 2023
Read time: 4 min (1020 words)

How generative AI influenced threat trends in 1H 2023

A lot can change in cybersecurity over the course of just six months in criminal marketplaces. In the first half of 2023, the rapid expansion of generative AI tools began to be felt in scams such as virtual kidnapping and tools by cybercriminals. Tools like WormGPT and FraudGPT are being marketed. The use of AI empowers adversaries to carry out more sophisticated attacks and poses a new set of challenges. The good news is that the same technology can also be used to empower security teams to work more effectively.

As we analyze the major events and patterns observed during this time, we uncover critical insights that can help businesses stay ahead of risk and prepare for the challenges that lie ahead in the second half of the year.

AI-Driven Tools in Cybercrime

The adoption of AI in organizations has increased significantly, offering numerous benefits. However, cybercriminals are also harnessing the power of AI to carry out attacks more efficiently.

As detailed in a Trend research report in June, virtual kidnapping is a relatively new and concerning type of imposter scam. The scammer extorts their victims by tricking them into believing they are holding a friend or family member hostage. In reality, it is AI technology known as a “deepfake,” which enables the fraudster to impersonate the real voice of the “hostage” whilst on the phone. Audio harvested from their social media posts will typically be used to train the AI model.

However, it is generative AI that’s playing an increasingly important role earlier on in the attack chain—by accelerating what would otherwise be a time-consuming process of selecting the right victims. To find those most likely to pay up when confronted with traumatic content, threat groups can use generative AI like ChatGPT to filter large quantities of potential victim data, fusing it with geolocation and advertising analytics. The result is a risk-based scoring system that can show scammers at a glance where they should focus their attacks.

This isn’t just theory. Virtual kidnapping scams are already happening. The bad news is that generative AI could be leveraged to make such attacks even more automated and effective in the future. An attacker could generate a script via ChatGPT to then convert to the hostage’s voice using deepfake and a text-to-speech app.

Of course, virtual kidnapping is just one of a growing number of scams that are continually being refined and improved by threat actors. Pig butchering is another type of investment fraud where the victim is befriended online, sometimes on romance sites, and then tricked into depositing their money into fictitious cryptocurrency schemes. It’s feared that these fraudsters could use ChatGPT and similar tools to improve their conversational techniques and perhaps even shortlist victims most likely to fall for the scams.

What to expect

The emergence of generative AI tools enables cybercriminals to automate and improve the efficiency of their attacks. The future may witness the development of AI-driven threats like DDoS attacks, wipers, and more, increasing the sophistication and scale of cyberattacks.

One area of concern is the use of generative AI to select victims based on extensive data analysis. This capability allows cybercriminals to target individuals and organizations with precision, maximizing the impact of their attacks.

Fighting back

Fortunately, security experts like Trend are also developing AI tools to help customers mitigate such threats. Trend pioneered the use of AI and machine learning for cybersecurity—embedding the technology in products as far back as 2005. From those early days of spam filtering, we began developing models designed to detect and block unknown threats more effectively.

Trend’s defense strategy

Most recently, we began leveraging generative AI to enhance security operations. Companion is a cybersecurity assistant designed to automate repetitive tasks and thereby free up time-poor analysts to focus on high-value tasks. It can also help to fill skills gaps by decoding complex scripts, triaging and recommending actions, and explaining and contextualizing alerts for SecOps staff.

What else happened in 1H 2023?

Ransomware: Adapting and Growing

Ransomware attacks are becoming sophisticated, with illegal actors leveraging AI-enabled tools to automate their malicious activities. One new player on the scene, Mimic, has abused legitimate search tools to identify and encrypt specific files for maximum impact. Meanwhile, the Royal ransomware group has expanded its targets to include Linux platforms, signaling an escalation in their capabilities.

According to Trend data, ransomware groups have been targeting finance, IT, and healthcare industries the most in 2023. From January 1 to July 17, 2023, there have been 219, 206, and 178 successful compromises of victims in these industries, respectively.

Our research findings revealed that ransomware groups are collaborating more frequently, leading to lower costs and increased market presence. Some groups are showing a shift in motivation, with recent attacks resembling those of advanced persistent threat (APT) groups. To combat these evolving threats, organizations need to implement a “shift left” strategy, fortifying their defenses to prevent threats from gaining access to their networks in the first place.

Vulnerabilities: Paring Down Cyber Risk Index

While the Cyber Risk Index (CRI) has lowered to a moderate range, the threat landscape remains concerning. Smaller platforms are exploited by threat actors, such as Clop ransomware targeting MOVEIt and compromising government agencies. New top-level domains by Google pose risks for concealing malicious URLs. Connected cars create new avenues for hackers. Proactive cyber risk management is crucial.

Campaigns: Evading Detection and Expanding Targets

Malicious actors are continually updating their tools, techniques and procedures (TTP) to evade detection and cast a wider net for victims. APT34, for instance, used DNS-based communication combined with legitimate SMTP mail traffic to bypass security policies. Meanwhile, Earth Preta has shifted its focus to target critical infrastructure and key institutions using hybrid techniques to deploy malware.

Persistent threats like the APT41 subgroup Earth Longzhi have resurfaced with new techniques, targeting firms in multiple countries. These campaigns require a coordinated approach to cyber espionage, and businesses must remain vigilant against such attacks.

To learn more about Trend’s 2023 Midyear Cybersecurity Report, please visit: https://www.trendmicro.com/vinfo/us/security/research-and-analysis/threat-reports/roundup/stepping-ahead-of-risk-trend-micro-2023-midyear-cybersecurity-threat-report

Source :
https://www.trendmicro.com/en_us/research/23/h/cybersecurity-threat-2023-generative-ai.html

The Journey to Zero Trust with Industry Frameworks

By: Alifiya Sadikali – Trendmicro
August 09, 2023
Read time: 4 min (1179 words)

Discover the core principles and frameworks of Zero Trust, NIST 800-207 guidelines, and best practices when implementing CISA’s Zero Trust Maturity Model.

With the growing number of devices connected to the internet, traditional security measures are no longer enough to keep your digital assets safe. To protect your organization from digital threats, it’s crucial to establish strong security protocols and take proactive measures to stay vigilant.

What is Zero Trust?

Zero Trust is a cybersecurity philosophy based on the premise that threats can arise internally and externally. With Zero Trust, no user, system, or service should automatically be trusted, regardless of its location within or outside the network. Providing an added layer of security to protect sensitive data and applications, Zero Trust only grants access to authenticated and authorized users and devices. And in the event of a data breach, compartmentalizing access to individual resources limits potential damage.

Your organization should consider Zero Trust as a proactive security strategy to protect its data and assets better.

The pillars of Zero Trust

At its core, the basis for Zero Trust is comprised of a few fundamental principles:

  • Verify explicitly. Only grant access once the user or device has been explicitly authenticated and verified. By doing so, you can ensure that only those with a legitimate need to access your organization’s resources can do so.
  • Least privilege access. Only give users access to the resources they need to do their job and nothing more. Limiting access in this way prevents unauthorized access to your organization’s data and applications.
  • Assume breach. Act as if a compromise to your organization’s security has occurred. Take steps to minimize the damage, including monitoring for unusual activity, limiting access to sensitive data, and ensuring that backups are up-to-date and secure.
  • Microsegmentation. Divide your organization’s network into smaller, more manageable segments and apply security controls to each segment individually. This reduces the risk of a breach spreading from one part of your network to another.
  • Security automation. Use tools and technologies to automate the process of monitoring, detecting, and responding to security threats. This ensures that your organization’s security is always up-to-date and can react quickly to new threats and vulnerabilities.

A Zero Trust approach is a proactive and effective way to protect your organization’s data and assets from cyber-attacks and data breaches. By following these core principles, your organization can minimize the risk of unauthorized access, reduce the impact of a breach, and ensure that your organization’s security is always up-to-date and effective.

The role of NIST 800-207 in Zero Trust

NIST 800-207 is a cybersecurity framework developed by the National Institute of Standards and Technology. It provides guidelines and best practices for organizations to manage and mitigate cybersecurity risks.

Designed to be flexible and adaptable for a variety of organizations and industries, the framework supports the customization of cybersecurity plans to meet their specific needs. Its implementation can help organizations improve their cybersecurity posture and protect against cyber threats.

One of the most important recommendations of NIST 800-207 is to establish a policy engine, policy administrator, and policy enforcement point. This will help ensure consistent policy enforcement and that access is granted only to those who need it.

Another critical recommendation is conducting continuous monitoring and having real-time risk-based decision-making capabilities. This can help you quickly identify and respond to potential threats.

Additionally, it is essential to understand and map dependencies among assets and resources. This will help you ensure your security measures are appropriately targeted based on potential vulnerabilities.

Finally, NIST recommends replacing traditional paradigms, such as implicit trust in assets or entities, with a “trust but verify” methodology. Adopting this approach can better protect your organization’s assets and resources from internal and external threats.

CISA’s Zero Trust Maturity Model

The Zero Trust Maturity Model (ZMM), developed by CISA, provides a comprehensive framework for assessing an organization’s Zero Trust posture. This model covers critical areas including:

  • Identity management: To implement a Zero Trust strategy, it is important to begin with identity. This involves continuously verifying, authenticating, and authorizing any entity before granting access to corporate resources. To achieve this, comprehensive visibility is necessary.
  • Devices, networks, applications: To maintain Zero Trust, use endpoint detection and response capabilities to detect threats and keep track of device assets, network connections, application configurations, and vulnerabilities. Continuously assess and score device security posture and implement risk-informed authentication protocols to ensure only trusted devices, networks and applications can access sensitive data and enterprise systems.
  • Data and governance: To maximize security, implement prevention, detection, and response measures for identity, devices, networks, IoT, and cloud. Monitor legacy protocols and device encryption status. Apply Data Loss Prevention and access control policies based on risk profiles.
  • Visibility and analytics: Zero Trust strategies cannot succeed within silos. By collecting data from various sources within an organization, organizations can gain a complete view of all entities and resources. This data can be analyzed through threat intelligence, generating reliable and contextualized alerts. By tracking broader incidents connected to the same root cause, organizations can make informed policy decisions and take appropriate response actions.
  • Automation and orchestration: To effectively automate security responses, it is important to have access to comprehensive data that can inform the orchestration of systems and manage permissions. This includes identifying the types of data being protected and the entities that are accessing it. By doing so, it ensures that there is proper oversight and security throughout the development process of functions, products, and services.

By thoroughly evaluating these areas, your organization can identify potential vulnerabilities in its security measures and take prompt action to improve your overall cybersecurity posture. CISA’s ZMM offers a holistic approach to security that will enable your organization to remain vigilant against potential threats.

Implementing Zero Trust with Trend Vision One

Trend Vision One seamlessly integrates with third-party partner ecosystems and aligns to industry frameworks and best practices, including NIST and CISA, offering coverage from prevention to extended detection and response across all pillars of zero trust.

Trend Vision One is an innovative solution that empowers organizations to identify their vulnerabilities, monitor potential threats, and evaluate risks in real-time, enabling them to make informed decisions regarding access control. With its open platform approach, Trend enables seamless integration with third-party partner ecosystems, including IAM, Vulnerability Management, Firewall, BAS, and SIEM/SOAR vendors, providing a comprehensive and unified source of truth for risk assessment within your current security framework. Additionally, Trend Vision One is interoperable with SWG, CASB, and ZTNA and includes Attack Surface Management and XDR, all within a single console.

Conclusion

CISOs today understand that the journey towards achieving Zero Trust is a gradual process that requires careful planning, step-by-step implementation, and a shift in mindset towards proactive security and cyber risk management. By understanding the core principles of Zero Trust and utilizing the guidelines provided by NIST and CISA to operationalize Zero Trust with Trend Vision One, you can ensure that your organization’s cybersecurity measures are strong and can adapt to the constantly changing threat landscape.

To read more thought leadership and research about Zero Trust, click here.

Source :
https://www.trendmicro.com/en_us/research/23/h/industry-zero-trust-frameworks.html

ChatGPT Highlights a Flaw in the Educational System

By: William Malik – Trendmicro
August 14, 2023
Read time: 4 min (1014 words)

Rethinking learning metrics and fostering critical thinking in the era of generative AI and LLMs

I recently participated in a conversation about artificial intelligence, specifically ChatGPT and its kin, with a group of educators in South Africa. They were concerned that the software would help students cheat.

We discussed two possible alternatives to ChatGPT: First, teachers could require that students submit handwritten homework. This would force students to at least read the material once before submitting it; Second, teachers could grade the paper submissions no higher than 89 percent (or a “B”), but that to get an “A,” the student would have to stand in front of the class and verbally discuss the material, their research, their conclusion, and answer any questions the teacher or other classmates might ask. (With that verbal defense of the ideas, the teacher might even waive the requirement for paper submission at all!)

The fundamental problem is that the grading system depends on homework. If education aims to teach an individual both a) a body of knowledge and b) the techniques of reasoning with that knowledge, then the metrics proving that achievement is misaligned.

One of the most quoted management scientists is Fredrick W. Taylor. He is most known for saying, “If you can’t measure it, you can’t manage it.” Interestingly, he never said that – which is fortunate because it is entirely wrong. People always manage things without metrics – from driving a car to raising children. He said: “If you measure it, you’ll manage it” – and he intended that as a warning. Whenever you adopt a metric, you will adjust your assessment of the underlying process in terms of your chosen metric. His warning is to be very careful about which metrics you choose.

Sometime in the past forty years, we decided that the purpose of education is to do well on tests. Unfortunately, that is also wrong. The purpose of education is to teach people to gather evidence and to think clearly about it. Students should learn how to judge various forms of evidence. They should understand rhetorical techniques (in the classical sense – how to render ideas clearly). They should be aware of common errors in thinking – the cognitive pitfalls we all fall into when rushed or distracted and logical fallacies which rob our arguments of their validity.

Large Language Models (LLMs) aggregate vast troves of text. Those data sources are not curated, so LLMs reflect the biases, logical limitations, and cognitive distortions in so much of what’s online. We are all familiar with early chatbots that were easily corrupted – the Microsoft chatbot Tay was perverted into being a racist resonator. (See “Twitter taught Microsoft’s AI Chatbot to be a Racist A**hole in Less than a Day” from The Verge, March 24, 2016, at https://www.theverge.com/2016/3/24/11297050/tay-microsoft-chatbot-racist accessed Aug 2023.)

LLMs do not think. They scan as much material as possible, then build a set of probabilities about which word is most likely to follow another word. If the word “pterodactyl” occurs in a text, then the next most likely word might be “soaring,” and “flying” might be in second place. If ChatGPT gets the word “pterodactyl” as input, it will put “soaring” next to it. This may look plausible to a person reading the output, but it cannot be correct. Correctness implies some kind of comprehension and judgment. ChatGPT does neither. It merely arranges words based on their statistical likelihood in the LLM’s database. We are now learning that LLMs that ingest computer-generated content become even more skewed – augmenting the likelihood of one word following another by rescanning the previous output. Over time, LLMs fed AI-generated content will drift farther and farther from actual human writing. The oft-mentioned hallucinations that LLMs generate will become more common as the distillation and amplification of the more likely subset of words leads to a contracted pool of possible machine-generated responses. Eventually – if we are not able to prevent LLMs from ingesting already-processed content – the output of ChatGPT will become more and more constrained, which, taken to the extreme, will yield one plot, one answer, one painting, and one outcome regardless of the specific input. Long before then, people will have abandoned LLM-based efforts for any activity that requires creativity.

Where can LLMs help? By sorting through bounded sets of information. That means an LLM trained on protein sequences could rapidly develop a most likely model for a protein that could attack a particular disease or interrupt an allergic reaction. In that case, the issue isn’t seeking creativity but rapidly scanning a set of nearly identical data overreactions to find the few that stand out enough to make a difference. A human doing this kind of work would quickly grow bored and likely make errors. LLMs can help science move quickly through vast quantities of data in closed domains. But when looking at an unbounded domain (art, poetry, fiction, movies, music, and the like), LLMs can only build average content, filling in the space between works. Artists seek to reach beyond the space their prior work defined.

The core problem with LLMs may be unsolvable. At this point, various organizations are exploring ways to tag AI-generated content (written and graphic) so humans can spend a moment assessing the accuracy and validity of the material. Of course, message digests can be corrupted and watermarks forged. A bad actor might maliciously tag authentic content as AI-generated. Recent developments include malicious ChatGPT variants designed to create BEC and phishing email content,

Students will always look for a shortcut, and that habit is difficult to overcome. In business, it will also be tempting for bureaucrats to use tools to simplify their tasks. How will your firm incorporate LLMs safely into your business processes? Organizations should consider how they will audit their internal procedures to ensure that LLM outputs are incorporated appropriately into communications. Imagine the potential for harm if some publicly traded company was found to have used an LLM to develop its annual financial report!

What do you think? Let me know in the comments below, or contact me @wjmalik@noc.social

Source :
https://www.trendmicro.com/en_us/research/23/h/chatgpt-flaw.html

OT Security is Less Mature but Progressing Rapidly

By: Kazuhisa Tagaya – Trendmicro
August 14, 2023
Read time: 2 min (638 words)

The latest study said that OT security is less mature in several capabilities than IT security, but most organizations are improving it.

e asked participants whether OT security for cybersecurity capabilities is less mature or more mature than IT in their organizations with reference to the NIST CSF.

As an average of all items, 39.5% answered that OT has a lower level of maturity. (18% answered OT security is more mature, and 36.4% at the same level)

Categorizing security capabilities into the five cores of the NIST CSF and aggregating them for each core, the most was that Detect is lower maturity in OT security than in IT. (42%)

figure1
Figure1: What security capabilities in OT are lower than IT (NIST CSF 5 Core)

Furthermore, looking at the specific security capabilities, the score of “Cyber event detection” is the most(45.7%).

figure2
Figure2: What security capabilities in OT are lower than IT (detail)

The OT environment has more diverse legacy assets, and protocol stacks dedicated to ICS/OT, making it difficult to implement sensors to detect malicious behavior or apply the patches on the assets. The inability to implement uniform measures in the same way as IT security is an obstacle to increasing the maturity level.

Detection in OT: Endpoint and Network

The survey asked respondents about their Endpoint Detection and Response (EDR) and Network Security Monitoring (NSM) implementations to measure their visibility in their OT environments. They answered whether EDR (including antivirus) was implemented in the following three places.

  • Server assets running commercial OS (Windows, Linux, Unix): 41%
  • Engineering (engineering workstations, instrumentation laptops, calibration and test equipment) assets running commercial OS (Windows, Unix, Linux): 34%
  • Operator assets (HMI, workstations) running commercial OS (Windows, Linux, Unix): 33% 

In addition, 76% of organizations that have already deployed EDR said they plan to expand their deployment within 24 months.

figure3
Figure3: EDR deployment

We also asked whether NSM (including IDS) was implemented at the following levels referring to the Purdue model.

  • Purdue Level 4 (Enterprise): 30%
  • Purdue Level 3.5 (DMZ): 36%
  • Purdue Level 3 (Site or SCADA-wide): 38%
  • Purdue Level 2 (Control): 20%
  • Purdue Levels 1/0 (Sensors and Actuators): 8%

Like EDR, 70% of organizations that have already implemented NSM said they have plans to expand implementation within 24 months.

figure4
Figure4: NSM deployment

In this survey, EDR implementation rates tended to vary depending on the respondent’s industry and size of organization. The implementation rate of NSM was relatively high in DMZ and Level 3, and the implementation rate decreased according to the lower layers. But I think it is not appropriate to conclude the decisive trend from the average value in the questions, because there are variations in the places where they are implemented EDR and NSM depending on the organization. The implementation rate shown here is just a rough standard. Where and how much to invest depends on the environment and decision-making of the organization. Asset owners can use the result as a reference to see where to implement EDR and NSM and evaluate their implementation plans.

To learn about how to assess risk in your OT environment to invest appropriately, please refer to our practices of risk assessment in smart factories.

Reference:
Breaking IT/OT Silos with ICS/OT Visibility – 2023 SANS ICS/OT visibility survey

Source :
https://www.trendmicro.com/en_us/research/23/h/ot-security-2023.html

Top 10 AI Security Risks According to OWASP

By: Trend Micro
August 15, 2023
Read time: 4 min (1157 words)

The unveiling of the first-ever Open Worldwide Application Security Project (OWASP) risk list for large language model AI chatbots was yet another sign of generative AI’s rush into the mainstream—and a crucial step toward protecting enterprises from AI-related threats.

For more than 20 years, the Open Worldwide Application Security Project (OWASP) top 10 risk list has been a go-to reference in the fight to make software more secure. So it’s no surprise developers and cybersecurity professionals paid close attention earlier this spring when OWASP published an all-new list focused on large language model AI vulnerabilities.

OWASP’s move is yet more proof of how quickly AI chatbots have swept into the mainstream. Nearly half (48%) of corporate respondents to one survey said that by February 2023 they had already replaced workers with ChatGPT—just three months after its public launch. With many observers expressing concern that AI adoption has rushed ahead without understanding of the risks involved, the OWASP top 10 AI risk list is both timely and essential.

Large language model vulnerabilities at a glance

OWASP has released two draft versions of its AI vulnerability list so far: one in May 2023 and a July 1 update with refined classifications and definitions, examples, scenarios, and links to additional references. The most recent is labeled ‘version 0.5’, and a formal version 1 is reported to be in the works.

We did some analysis and found the vulnerabilities identified by OWASP fall broadly into three categories:

  1. Access risks associated with exploited privileges and unauthorized actions.
  2. Data risks such as data manipulation or loss of services.
  3. Reputational and business risks resulting from bad AI outputs or actions.

In this blog, we take a closer look at the specific risks in each case and offer some suggestions about how to handle them.

1. Access risks

Of the 10 vulnerabilities listed by OWASP, four are specific to access and misuse of privileges: insecure plugins, insecure output handling, permissions issues, and excessive agency.

According to OWASP, any large language model that uses insecure plugins to receive “free-form text” inputs could be exposed to malicious requests, resulting in unwanted behaviors or the execution of unauthorized remote code. On the flipside, plugins or applications that handle large language model outputs insecurely—without evaluating them—could be susceptible to cross-site and server-side request forgeries, unauthorized privilege escalations, hijack attacks, and more.

Similarly, when authorizations aren’t tracked between plugins, permissions issues can arise that open the way for indirect prompt injections or malicious plugin usage.

Finally, because AI chatbots are ‘actors’ able to make and implement decisions, it matters how much free reign (i.e., agency) they’re given. As OWASP explains, “When LLMs interface with other systems, unrestricted agency may lead to undesirable operations and actions.” Examples include personal mail reader assistants being exploited to propagate spam or customer service AI chatbots manipulated into issuing undeserved refunds.

In all of these cases, the large language model becomes a conduit for bad actors to infiltrate systems.

2. Data risks

Poisoned training data, supply chain vulnerabilities, prompt injection vulnerabilities and denials of serviceare all data-specific AI risks.

Data can be poisoned deliberately by bad actors who want to harm an organization. It can also be distorted inadvertently when an AI system learns from unreliable or unvetted sources. Both types of poisoning can occur within an active AI chatbot application or emerge from the large language model supply chain, where reliance on pre-trained models, crowdsourced data, and insecure plugin extensions may produce biased data outputs, security breaches, or system failures.

With prompt injections, ill-meaning inputs may cause a large language model AI chatbot to expose data that should be kept private or perform other actions that lead to data compromises.

AI denial of service attacks are similar to classic DOS attacks. They may aim to overwhelm a large language model and deprive users of access to data and apps, or—because many AI chatbots rely on pay-as-you-go IT infrastructure—force the system to consume excessive resources and rack up massive costs.

3. Reputational and business risks

The final OWASP vulnerability (according to our buckets) is already reaping consequences around the world today:overreliance on AI. There’s no shortage of stories about large language models generating false or inappropriate outputs from fabricated citations and legal precedents to racist and sexist language.

OWASP points out that depending on AI chatbots without proper oversight can make organizations vulnerable to publishing misinformation or offensive content that results in reputational damage or even legal action.
Given all these various risks, the question becomes, “What can we do about it?” Fortunately, there are some protective steps organizations can take. 

What enterprises can do about large language model vulnerabilities

From our perspective at Trend Micro, defending against AI access risks requires a zero-trust security stance with disciplined separation of systems (sandboxing). Even though generative AI has the ability to challenge zero-trust defenses in ways that other IT systems don’t—because it can mimic trusted entities—a zero-trust posture still adds checks and balances that make it easier to identify and contain unwanted activity. OWASP also advises that large language models “should not self-police” and calls for controls to be embedded in application programming interfaces (APIs).

Sandboxing is also key to protecting data privacy and integrity: keeping confidential information fully separated from shareable data and making it inaccessible to AI chatbots and other public-facing systems. (See our recent blog on AI cybersecurity policies for more.)

Good separation of data prevents large language models from including private or personally identifiable information in public outputs, and from being publicly prompted to interact with secure applications such as payment systems in inappropriate ways.

On the reputational front, the simplest remedies are to not rely solely on AI-generated content or code, and to never publish or use AI outputs without first verifying they are true, accurate, and reliable.

Many of these defensive measures can—and should—be embedded in corporate policies. Once an appropriate policy foundation is in place, security technologies such as endpoint detection and response (EDR), extended detection and response (XDR), and security information and event management (SIEM) can be used for enforcement and to monitor for potentially harmful activity.

Large language model AI chatbots are here to stay

OWASP’s initial work cataloguing AI risks proves that concerns about the rush to embrace AI are well justified. At the same time, AI clearly isn’t going anywhere, so understanding the risks and taking responsible steps to mitigate them is critically important.

Setting up the right policies to manage AI use and implementing those policies with the help of cybersecurity solutions is a good first step. So is staying informed. The way we see it at Trend Micro, OWASP’s top 10 AI risk list is bound to become as much of an annual must-read as its original application security list has been since 2003.

Next steps

For more Trend Micro thought leadership on AI chatbot security, check out these resources:

Source :
https://www.trendmicro.com/en_us/research/23/h/top-ai-risks.html

The Current Security State of Private 5G Networks

By: Trend Micro
August 18, 2023
Read time: 3 min (931 words)

Private 5G networks offer businesses enhanced security, reliability, and scalability. Learn more about why private 5G could be the future of secure networking.

Private 5G networks offer businesses enhanced security, reliability, and scalability. Learn more about why private 5G could be the future of secure networking.

Source :
https://www.trendmicro.com/en_us/research/23/h/private-5g-network-security.html

An Overview of the New Rhysida Ransomware Targeting the Healthcare Sector

By: Trend Micro Research
August 09, 2023
Read time: 7 min (1966 words)

Updated on August 9, 2023, 9:30 a.m. EDT: We updated the entry to include an analysis of current Rhysida ransomware samples’ encryption routine.  
Updated on August 14, 2023, 6:00 a.m. EDT: We updated the entry to include Trend XDR workbench alerts for Rhysida and its components.

Introduction

On August 4, 2023, the HHS’ Health Sector Cybersecurity Coordination Center (HC3) released a security alert about a relatively new ransomware called Rhysida (detected as Ransom.PS1.RHYSIDA.SM), which has been active since May 2023. In this blog entry, we will provide details on Rhysida, including its targets and what we know about its infection chain.

Who is behind the Rhysida ransomware?

Not much is currently known about the threat actors behind Rhysida in terms of origin or affiliations. According to the HC3 alert, Rhysida poses itself as a “cybersecurity team” that offers to assist victims in finding security weaknesses within their networks and system. In fact, the group’s first appearance involved the use of a victim chat support portal.

Who are Rhysida’s targets?

As mentioned earlier, Rhysida, which was previously known for targeting the education, government, manufacturing, and tech industries, among others — has begun conducting attacks on healthcare and public health organizations. The healthcare industry has seen an increasing number of ransomware attacks over the past five years.  This includes a recent incident involving Prospect Medical Holdings, a California-based healthcare system, that occurred in early August (although the group behind the attack has yet to be named as of writing).

Data from Trend Micro™ Smart Protection Network™ (SPN) shows a similar trend, where detections from May to August 2023 show that its operators are targeting multiple industries rather than focusing on just a single sector.

The threat actor also targets organizations around the world, with SPN data showing several countries where Rhysida binaries were detected, including Indonesia, Germany, and the United States.

Figure 1. The industry and country detection count for Rhysida ransomware based on Trend SPN data from May to August 2023
Figure 1. The industry and country detection count for Rhysida ransomware based on Trend SPN data from May to August 2023
Figure 1. The industry and country detection count for Rhysida ransomware based on Trend SPN data from May to August 2023

How does a Rhysida attack proceed?

Figure 2. The Rhysida ransomware infection chain
Figure 2. The Rhysida ransomware infection chain

Rhysida ransomware usually arrives on a victim’s machine via phishing lures, after which Cobalt Strike is used for lateral movement within the system.

Additionally, our telemetry shows that the threat actors execute PsExec to deploy PowerShell scripts and the Rhysida ransomware payload itself. The PowerShell script (g.ps1), detected as Trojan.PS1.SILENTKILL.A, is used by the threat actors to terminate antivirus-related processes and services, delete shadow copies, modify remote desktop protocol (RDP) configurations, and change the active directory (AD) password.

Interestingly, it appears that the script (g.ps1) was updated by the threat actors during execution, eventually leading us to a PowerShell version of the Rhysida ransomware.

Rhysida ransomware employs a 4096-bit RSA key and AES-CTR for file encryption, which we discuss in detail in a succeeding section. After successful encryption, it appends the .rhysida extension and drops the ransom note CriticalBreachDetected.pdf.

This ransom note is fairly unusual — instead of an outright ransom demand as seen in most ransom notes from other ransomware families, the Rhysida ransom note is presented as an alert from the Rhysida “cybersecurity team” notifying victims that their system has been compromised and their files encrypted. The ransom demand comes in the form of a “unique key” designed to restore encrypted files, which must be paid for by the victim.

Summary of malware and tools used by Rhysida

  • Malware: RHYSIDA, SILENTKILL, Cobalt Strike
  • Tools: PsExec
Initial AccessPhishingBased on external reports, Rhysida uses phishing lures for initial access
Lateral MovementPsExecMicrosoft tool used for remote execution
Cobalt Strike3rd party tool abused for lateral movement
Defense EvasionSILENTKILLMalware deployed to terminate security-related processes and services, delete shadow copies, modify RDP configurations, and change the AD password
ImpactRhysida ransomwareRansomware encryption
Table 1. A summary of the malware, tools, and exploits used by Rhysida

A closer look at Rhysida’s encryption routine 
After analyzing current Rhysida samples, we observed that the ransomware uses LibTomCrypt, an open-source cryptographic library, to implement its encryption routine. Figure 3 shows the procedures Rhysida follows when initializing its encryption parameters. 

Figure 3. Rhysida’s parameters for encryption
Figure 3. Rhysida’s parameters for encryption

Rhysida uses LibTomCrypt’s pseudorandom number generator (PRNG) functionalities for key and initialization vector (IV) generation. The init_prng function is used to initialize PRNG functionalities as shown in Figure 4. The same screenshot also shows how the ransomware uses the library’s ChaCha20 PRNG functionality.

rhysida_fig4
Figure 4. Rhysida’s use of the “init_prng” function

After the PRNG is initialized, Rhysida then proceeds to import the embedded RSA key and declares the encryption algorithm it will use for file encryption:

  •  
  • It will use the register_cipher function to “register” the algorithm (in this case, aes), to its table of usable ciphers.
  •  
  • It will use the find_cipher function to store the algorithm to be used (still aes), in the variable CIPHER.

Afterward, it will proceed to also register and declare aes for its Cipher Hash Construction (CHC) functionalities. 

Based on our analysis, Rhysida’s encryption routine follows these steps:

  1. After it reads file contents for encryption, it will use the initialized PRNG’s function, chacha20_prng_read, to generate both a key and an IV that are unique for each file.
  2. It will use the ctr_start function to initialize the cipher that will be used, which is aes (from the variable CIPHER), in counter or CTR mode.
  3. The generated key and IV are then encrypted with the rsa_encrypt_key_ex function.
  4. Once the key and IV are encrypted, Rhysida will proceed to encrypt the file using LibTomCrypt’s ctr_encrypt function.
Figure 5. Rhysida’s encryption routine
Figure 5. Rhysida’s encryption routine

Unfortunately, since each encrypted file has a unique key and IV — and only the attackers have a copy of the associated private key — decryption is currently not feasible.

How can organizations protect themselves from Rhysida and other ransomware families?

Although we are still in the process of fully analyzing Rhysida ransomware and its tools, tactics, and procedures (TTPs), the best practices for defending against ransomware attacks still holds true for Rhysida and other ransomware families.

Here are several recommended measures that organizations implement to safeguard their systems from ransomware attacks:

  • Create an inventory of assets and data
  • Review event and incident logs
  • Manage hardware and software configurations.
  • Grant administrative privileges and access only when relevant to an employee’s role and responsibilities.
  • Enforce security configurations on network infrastructure devices like firewalls and routers.
  • Establish a software whitelist permitting only legitimate applications
  • Perform routine vulnerability assessments
  • Apply patches or virtual patches for operating systems and applications
  • Keep software and applications up to date using their latest versions
  • Integrate data protection, backup, and recovery protocols
  • Enable multifactor authentication (MFA) mechanisms
  • Utilize sandbox analysis to intercept malicious emails
  • Regularly educate and evaluate employees’ security aptitude
  • Deploy security tools (such as XDR) which are capable of detecting abuse of legitimate applications

Indicators of compromise

Hashes

The indicators of compromise for this entry can be found here.

MITRE ATT&CK Matrix

Initial AccessT1566 PhishingBased on external reports, Rhysida uses phishing lures for initial access.
ExecutionT1059.003 Command and Scripting Interpreter: Windows Command ShellIt uses cmd.exe to execute commands for execution.
T1059.001 Command and Scripting Interpreter: PowerShellIt uses PowerShell to create scheduled task named Rhsd pointing to the ransomware.
PersistenceT1053.005 Scheduled Task/Job: Scheduled TaskWhen executed with the argument -S, it will create a scheduled task named Rhsd that will execute the ransomware
Defense EvasionT1070.004 Indicator Removal: File DeletionRhysida ransomware deletes itself after execution. The scheduled task (Rhsd) created would also be deleted after execution.
T1070.001 Indicator Removal: Clear Windows Event LogsIt uses wevtutil.exe to clear Windows event logs.
DiscoveryT1083 File and Directory DiscoveryIt enumerates and looks for files to encrypt in all local drives.
T1082 System Information DiscoveryObtains the following information:Number of processorsSystem information
ImpactT1490 Inhibit System RecoveryIt executes uses vssadmin to remove volume shadow copies
T1486 Data Encrypted for ImpactIt uses a 4096-bit RSA key and Cha-cha20 for file encryption.It avoids encrypting files with the following strings in their file name:.bat.bin.cab.cmd.com.cur.diagcab.diagcfg.diagpkg.drv.dll.exe.hlp.hta.ico.msi.ocx.ps1.psm1.scr.sys.ini.Thumbs.db.url.isoIt avoids encrypting files found in the following folders:$Recycle.BinBootDocuments and SettingsPerfLogsProgramDataRecoverySystem Volume InformationWindows$RECYCLE.BINApzDataIt appends the following extension to the file name of the encrypted files:.rhysidaIt encrypts all system drives from A to Z.It drops the following ransom note:{Encrypted Directory}\CriticalBreachDetected.pdf
T1491.001 Defacement: Internal DefacementIt changes the desktop wallpaper after encryption and prevents the user from changing it back by modifying the NoChangingWallpaper registry value.

Trend Micro Solutions

Trend solutions such as Apex One Deep Security,  Cloud One Workload SecurityWorry-Free Business Security,  Deep Discovery Web InspectorTitanium Internet Security, and Cloud Edge can help protect against attacks employed by the Rhysida ransomware.

The following solutions protect Trend customers from Rhysida attacks:

Trend Micro solutionsDetection Patterns / Policies / Rules
Trend Micro Apex OneTrend Micro Deep SecurityTrend Micro Titanium Internet SecurityTrend Micro Cloud One Workload Security Trend Micro Worry-Free Business Security ServicesRansom.Win64.RHYSIDA.SMRansom.Win64.RHYSIDA.THEBBBCRansom.Win64.RHYSIDA.THFOHBCTrojan.PS1.SILENTKILL.SMAJCTrojan.PS1.SILENTKILL.A
Trend Micro Apex OneTrend Micro Deep SecurityTrend Micro Worry-Free Business Security ServicesTrend Micro Titanium Internet Security
 
RAN4056TRAN4052T
Trend Micro Apex OneTrend Micro Deep Discovery Web InspectorDDI Rule ID: 597 – “PsExec tool detected”DDI Rule ID: 1847 – “PsExec tool detected – Class 2″DDI Rule ID: 4524 – “Possible Renamed PSEXEC Service – SMB2 (Request)”DDI Rule ID: 4466 – “PsExec Clones – SMB2 (Request)”DDI Rule ID: 4571 – “Possible Suspicious Named Pipe – SMB2 (REQUEST)”DDI Rule ID: 4570 – “COBALTSTRIKE – DNS(RESPONSE)”DDI Rule ID: 4152 – “COBALTSTRIKE – HTTP (Response)”DDI Rule ID: 4469 – “APT – COBALTSRIKE – HTTP (RESPONSE)”DDI Rule ID: 4594 – “COBALTSTRIKE – HTTP(REQUEST) – Variant 3″DDI Rule ID: 4153 – “COBALTSTRIKE – HTTP (Request) – Variant 2″DDI Rule ID: 2341 – “COBALTSTRIKE – HTTP (Request)”DDI Rule ID: 4390 – “CobaltStrike – HTTPS (Request)”DDI Rule ID: 4870 – “COBEACON DEFAULT NAMED PIPE – SMB2 (Request)”DDI Rule ID: 4861 – “COBEACON – DNS (Response) – Variant 3″DDI Rule ID: 4860 – “COBEACON – DNS (Response) – Variant 2″DDI Rule ID: 4391 – “COBEACON – DNS (Response)”
Trend Micro Apex OneTrend Micro Deep Security Trend Micro Worry-Free Business Security ServicesTrend Micro Titanium Internet SecurityTrend Micro Cloud EdgeTroj.Win32.TRX.XXPE50FFF071

Trend Micro XDR uses the following workbench alerts to protect customers from Rhysida-related attacks:

Cobalt Strike

Workbench AlertID
Anomalous Regsvr32 Execution Leading to Cobalt Strike63758d9f-4405-4ec5-b421-64aef7c85dca
COBALT C2 Connectionafd1fa1f-b8fc-4979-8bf7-136db80aa264
Early Indicator of Attack via Cobalt Strike0ddda3c1-dd25-4975-a4ab-b1fa9065568d
Lateral Movement of Cobalt Strike Beacon5c7cdb1d-c9fb-4b1d-b71f-9a916b10b513
Possible Cobalt Strike Beacon45ca58cc-671b-42ab-a388-d972ff571d68
Possible Cobalt Strike Beacon Active Directory Database Dumping1f103cab-9517-455d-ad08-70eaa05b8f8d
Possible Cobalt Strike Connection85c752b8-93c2-4450-81eb-52ec6161088e
Possible Cobalt Strike Privilege Escalation Behavior2c997bac-4fc0-43b4-8279-6f2e7cf723ae
Possible Fileless Cobalt Strikecf1051ba-5360-4226-8ffb-955fe849db53

PsExec

Workbench AlertID
Possible Credential Access via PSEXESVC Command Execution0b870a13-e371-4bad-9221-be7ad98f16d7
Possible Powershell Process Injection via PSEXEC7fe83eb8-f40f-43be-8edd-f6cbc1399ac0
Possible Remote Ransomware Execution via PsExec47fbd8f3-9fb5-4595-9582-eb82566ead7a
PSEXEC Execution By Processe011b6b9-bdef-47b7-b823-c29492cab414
Remote Execution of Windows Command Shell via PsExecb21f4b3e-c692-4eaf-bee0-ece272b69ed0
Suspicious Execution of PowerShell Parameters and PSEXEC26371284-526b-4028-810d-9ac71aad2536
Suspicious Mimikatz Credential Dumping via PsExec8004d0ac-ea48-40dd-aabf-f96c24906acf

SILENTKILL

Workbench AlertID
Possible Disabling of Antivirus Software64a633e4-e1e3-443a-8a56-7574c022d23f
Suspicious Deletion of Volume Shadow Copy5707562c-e4bf-4714-90b8-becd19bce8e5

Rhysida

Workbench AlertID
Ransom Note Detection (Real-time Scan)16423703-6226-4564-91f2-3c03f2409843
Ransomware Behavior Detection6afc8c15-a075-4412-98c1-bb2b25d6e05e
Ransomware Detection (Real-time Scan)2c5e7584-b88e-4bed-b80c-dfb7ede8626d
Scheduled Task Creation via Command Line05989746-dc16-4589-8261-6b604cd2e186
System-Defined Event Logs Clearing via Wevtutil639bd61d-8aee-4538-bc37-c630dd63d80f

Trend Micro Vision One hunting query

Trend Vision One customers can use the following hunting query to search for Rhysida within their system:

processCmd:”powershell.exe*\\*$\?.ps1″ OR (objectFilePath:”?:*\\??\\psexec.exe” AND processCmd:”*cmd.exe*\\??\\??.bat”)

Source :
https://www.trendmicro.com/en_us/research/23/h/an-overview-of-the-new-rhysida-ransomware.html

The five-day job: A BlackByte ransomware intrusion case study

July 6, 2023

As ransomware attacks continue to grow in number and sophistication, threat actors can quickly impact business operations if organizations are not well prepared. In a recent investigation by Microsoft Incident Response (previously known as Microsoft Detection and Response Team – DART) of an intrusion, we found that the threat actor progressed through the full attack chain, from initial access to impact, in less than five days, causing significant business disruption for the victim organization.

Our investigation found that within those five days, the threat actor employed a range of tools and techniques, culminating in the deployment of BlackByte 2.0 ransomware, to achieve their objectives. These techniques included:

  • Exploitation of unpatched internet-exposed Microsoft Exchange Servers
  • Web shell deployment facilitating remote access
  • Use of living-off-the-land tools for persistence and reconnaissance
  • Deployment of Cobalt Strike beacons for command and control (C2)
  • Process hollowing and the use of vulnerable drivers for defense evasion
  • Deployment of custom-developed backdoors to facilitate persistence
  • Deployment of a custom-developed data collection and exfiltration tool
BlackByte 2.0 ransomware attack chain by order of stages: initial access and privilege escalation, persistence and command and control, reconnaissance, credential access, lateral movement, data staging and exfiltration, and impact.
Figure 1. BlackByte 2.0 ransomware attack chain

In this blog, we share details of our investigation into the end-to-end attack chain, exposing security weaknesses that the threat actor exploited to advance their attack. As we learned from Microsoft’s tracking of ransomware attacks and the cybercriminal economy that enables them, disrupting common attack patterns could stop many of the attacker activities that precede ransomware deployment. This case highlights that common security hygiene practices go a long way in preventing, identifying, and responding to malicious activity as early as possible to mitigate the impact of ransomware attacks. We encourage organizations to follow the outlined mitigation steps, including ensuring that internet-facing assets are up to date and configured securely. We also share indicators of compromise, detection details, and hunting guidance to help organizations identify and respond to these attacks in their environments.  

Forensic analysis

Initial access and privilege escalation

To obtain initial access into the victim’s environment, the threat actor was observed exploiting the ProxyShell vulnerabilities CVE-2021-34473, CVE-2021-34523, and CVE-2021-31207 on unpatched Microsoft Exchange Servers. The exploitation of these vulnerabilities allowed the threat actor to:

  • Attain system-level privileges on the compromised Exchange host
  • Enumerate LegacyDN of users by sending Autodiscover requests, including SIDs of users
  • Construct a valid authentication token and use it against the Exchange PowerShell backend
  • Impersonate domain admin users and create a web shell by using the New-MailboxExportRequest cmdlet
  • Create web shells to obtain remote control on affected servers

The threat actor was observed operating from the following IP to exploit ProxyShell and access the web shell:

  • 185.225.73[.]244

Persistence

Backdoor

After gaining access to a device, the threat actor created the following registry run keys to run a payload each time a user signs in:

Registry keyValue nameValue data
HKEY_CURRENT_USER\Software\Microsoft\Windows\CurrentVersion\Run  MsEdgeMsErundll32 C:\Users\user\Downloads\api-msvc.dll,Default  
HKEY_CURRENT_USER\Software\Microsoft\Windows\CurrentVersion\Run  MsEdgeMsErundll32 C:\temp\api-msvc.dll,Default  
HKEY_CURRENT_USER\Software\Microsoft\Windows\CurrentVersion\Run  MsEdgeMsErundll32 C:\systemtest\api-system.png,Default

The file api-msvc.dll (SHA-256: 4a066569113a569a6feb8f44257ac8764ee8f2011765009fdfd82fe3f4b92d3e) was determined to be a backdoor capable of collecting system information, such as the installed antivirus products, device name, and IP address. This information is then sent via HTTP POST request to the following C2 channel:

  • hxxps://myvisit[.]alteksecurity[.]org/t

The organization was not using Microsoft Defender Antivirus, which detects this malware as Trojan:Win32/Kovter!MSR, as the primary antivirus solution, and the backdoor was allowed to run.

An additional file, api-system.png, was identified to have similarities to api-msvc.dll. This file behaved like a DLL, had the same default export function, and also leveraged run keys for persistence.

Cobalt Strike Beacon

The threat actor leveraged Cobalt Strike to achieve persistence. The file sys.exe (SHA-256: 5f37b85687780c089607670040dbb3da2749b91b8adc0aa411fd6280b5fa7103), detected by Microsoft Defender Antivirus as Trojan:Win64/CobaltStrike!MSR, was determined to be a Cobalt Strike Beacon and was downloaded directly from the file sharing service temp[.]sh:

  • hxxps://temp[.]sh/szAyn/sys.exe

This beacon was configured to communicate with the following C2 channel:

  • 109.206.243[.]59:443

AnyDesk

Threat actors leverage legitimate remote access tools during intrusions to blend into a victim network. In this case, the threat actor utilized the remote administration tool AnyDesk, to maintain persistence and move laterally within the network. AnyDesk was installed as a service and was run from the following paths:

  • C:\systemtest\anydesk\AnyDesk.exe
  • C:\Program Files (x86)\AnyDesk\AnyDesk.exe
  • C:\Scripts\AnyDesk.exe

Successful connections were observed in the AnyDesk log file ad_svc.trace involving anonymizer service IP addresses linked to TOR and MULLVAD VPN, a common technique that threat actors employ to obscure their source IP ranges.

Reconnaissance

We found the presence and execution of the network discovery tool NetScan being used by the threat actor to perform network enumeration using the following file names:

  • netscan.exe (SHA-256:1b9badb1c646a19cdf101ac4f6fdd23bc61eaab8c9f925eb41848cea9fd0738e)
  • netapp.exe (SHA-256:1b9badb1c646a19cdf101ac4f6fdd23bc61eaab8c9f925eb41848cea9fd0738e)

Additionally, execution of AdFind (SHA-256: f157090fd3ccd4220298c06ce8734361b724d80459592b10ac632acc624f455e), an Active Directory reconnaissance tool, was observed in the environment.

Credential access

Evidence of likely usage of the credential theft tool Mimikatzwas also uncovered through the presence of a related log file mimikatz.log. Microsoft IR assesses that Mimikatz was likely used to attain credentials for privileged accounts.

Lateral movement

Using compromised domain admin credentials, the threat actor used Remote Desktop Protocol (RDP) and PowerShell remoting to obtain access to other servers in the environment, including domain controllers.

Data staging and exfiltration

In one server where Microsoft Defender Antivirus was installed, a suspicious file named explorer.exe was identified, detected as Trojan:Win64/WinGoObfusc.LK!MT, and quarantined. However, because tamper protection wasn’t enabled on this server, the threat actor was able to disable the Microsoft Defender Antivirus service, enabling the threat actor to run the file using the following command:

explorer.exe P@$$w0rd

After reverse engineering explorer.exe, we determined it to be ExByte, a GoLang-based tool developed and commonly used in BlackByte ransomware attacks for collection and exfiltration of files from victim networks. This tool is capable of enumerating files of interest across the network and, upon execution, creates a log file containing a list of files and associated metadata. Multiple log files were uncovered during the investigation in the path:

  • C:\Exchange\MSExchLog.log

Analysis of the binary revealed a list of file extensions that are targeted for enumeration.

Figure-2.-Binary-analysis-showing-file-extensions-enumerated-by-explorer.exe_
Figure 2. Binary analysis showing file extensions enumerated by explorer.exe

Forensic analysis identified a file named data.txt that was created and later deleted after ExByte execution. This file contained obfuscated credentials that ExByte leveraged to authenticate to the popular file sharing platform Mega NZ using the platform’s API at:

  • hxxps://g.api.mega.co[.]nz
Figure 3. Binary analysis showing explorer.exe functionality for connecting to file sharing service MEGA NZ

We also determined that this version of Exbyte was crafted specifically for the victim, as it contained a hardcoded device name belonging to the victim and an internal IP address.

ExByte execution flow

Upon execution, ExByte decodes several strings and checks if the process is running with privileged access by reading \\.\PHYSICALDRIVE0:

  • If this check fails, ShellExecuteW is invoked with the IpOperation parameter RunAs, which runs explorer.exe with elevated privileges.

After this access check, explorer.exe attempts to read the data.txt file in the current location:

  • If the text file doesn’t exist, it invokes a command for self-deletion and exits from memory:
C:\Windows\system32\cmd.exe /c ping 1.1.1.1 -n 10 > nul & Del <PATH>\explorer.exe /F /Q
  • If data.txt exists, explorer.exe reads the file, passes the buffer to Base64 decode function, and then decrypts the data using the key provided in the command line. The decrypted data is then parsed as JSON below and fed for login function:
{    “a”:”us0”,    “user”:”<CONTENT FROM data.txt>”}

Finally, it forms a URL for sign-in to the API of the service MEGA NZ:

  • hxxps://g.api.mega.co[.]nz/cs?id=1674017543

Data encryption and destruction

On devices where files were successfully encrypted, we identified suspicious executables, detected by Microsoft Defender Antivirus as Trojan:Win64/BlackByte!MSR, with the following names:

  • wEFT.exe
  • schillerized.exe

The files were analyzed and determined to be BlackByte 2.0 binaries responsible for encryption across the environment. The binaries require an 8-digit key number to encrypt files.

Two modes of execution were identified:

  • When the -s parameter is provided, the ransomware self-deletes and encrypts the machine it was executed on.
  • When the -a parameter is provided, the ransomware conducts enumeration and uses an Ultimate Packer Executable (UPX) packed version of PsExec to deploy across the network. Several domain admin credentials were hardcoded in the binary, facilitating the deployment of the binary across the network.

Depending on the switch (-s or -a), execution may create the following files:

  • C:\SystemData\M8yl89s7.exe (UPX-packed PsExec with a random name; SHA-256: ba3ec3f445683d0d0407157fda0c26fd669c0b8cc03f21770285a20b3133098f)
  • C:\SystemData\wEFT.exe (Additional BlackByte binary)
  • C:\SystemData\MsExchangeLog1.log (Log file)
  • C:\SystemData\rENEgOtiAtES (A vulnerable (CVE-2019-16098) driver RtCore64.sys used to evade detection by installed antivirus software; SHA-256: 01aa278b07b58dc46c84bd0b1b5c8e9ee4e62ea0bf7a695862444af32e87f1fd)
  • C:\SystemData\iHu6c4.ico (Random name – BlackBytes icon)
  • C:\SystemData\BB_Readme_file.txt (BlackByte ReadMe file)
  • C:\SystemData\skip_bypass.txt (Unknown)

BlackByte 2.0 ransomware capabilities

Some capabilities identified for the BlackByte 2.0 ransomware were:

  • Antivirus bypass
    • The file rENEgOtiAtES created matches RTCore64.sys, a vulnerable driver (CVE-2049-16098) that allows any authenticated user to read or write to arbitrary memory
    • The BlackByte binary then creates and starts a service named RABAsSaa calling rENEgOtiAtES, and exploits this service to evade detection by installed antivirus software
  • Process hollowing
    • Invokes svchost.exe, injects to it to complete device encryption, and self-deletes by executing the following command:
      • cmd.exe /c ping 1.1.1.1 -n 10 > Nul & Del “PATH_TO_BLACKBYTE” /F /Q
  • Modification / disabling of Windows Firewall
    • The following commands are executed to either modify existing Windows Firewall rules, or to disable Windows Firewall entirely:
      • cmd /c netsh advfirewall set allprofiles state off
      • cmd /c netsh advfirewall firewall set rule group=”File and Printer Sharing” new enable=Yes
      • cmd /c netsh advfirewall firewall set rule group=”Network Discovery” new enable=Yes
  • Modification of volume shadow copies
    • The following commands are executed to destroy volume shadow copies on the machine:
      • cmd /c vssadmin Resize ShadowStorge /For=B:\ /On=B:\ /MaxSize=401MB
      • cmd /c vssadmin Resize ShadowStorage /For=B:\ /On=B:\ /MaxSize=UNBOUNDED
  • Modification of registry keys/values
    • The following commands are executed to modify the registry, facilitating elevated execution on the device:
      • cmd /c reg add HKLM\SOFTWARE\Microsoft\Windows\CurrentVersion\Policies\System /v LocalAccountTokenFilterPolicy /t REG_DWORD /d 1 /f
      • cmd /c reg add HKLM\SOFTWARE\Microsoft\Windows\CurrentVersion\Policies\System /v EnableLinkedConnections /t REG_DWORD /d 1 /f
      • cmd /c reg add HKLM\\SYSTEM\\CurrentControlSet\\Control\\FileSystem /v LongPathsEnabled /t REG_DWORD /d 1 /f
  • Additional functionality
    • Ability to terminate running services and processes
    • Ability to enumerate and mount volumes and network shares for encryption
    • Perform anti-forensics technique timestomping (sets the file time of encrypted and ReadMe file to 2000-01-01 00:00:00)
    • Ability to perform anti-debugging techniques

Recommendations

To guard against BlackByte ransomware attacks, Microsoft recommends the following:

  • Ensure that you have a patch management process in place and that patching for internet-exposed devices is prioritized; Understand and assess your cyber exposure with advanced vulnerability and configuration assessment tools like Microsoft Defender Vulnerability Management
  • Implement an endpoint detection and response (EDR) solution like Microsoft Defender for Endpoint to gain visibility into malicious activity in real time across your network
  • Ensure antivirus protections are updated regularly by turning on cloud-based protection and that your antivirus solution is configured to block threats
  • Enable tamper protection to prevent components of Microsoft Defender Antivirus from being disabled
  • Block inbound traffic from IPs specified in the indicators of compromise section of this report
  • Block inbound traffic from TOR exit nodes
  • Block inbound access from unauthorized public VPN services
  • Restrict administrative privileges to prevent authorized system changes

Conclusion

BlackByte ransomware attacks target organizations that have infrastructure with unpatched vulnerabilities.  As outlined in the Microsoft Digital Defense Report, common security hygiene practices, including keeping systems up to date, could protect against 98% of attacks.

As new tools are being developed by threat actors, a modern threat protection solution like Microsoft 365 Defender is necessary to prevent and detect the multiple techniques used in the attack chain, especially where the threat actor attempts to evade or disable specific defense mechanisms. Hunting for malicious behavior should be performed regularly in order to detect potential attacks that could evade detections, as a complementary activity for continuous monitoring from security tools alerts and incidents.

To understand how Microsoft can help you secure your network and respond to network compromise, visit https://aka.ms/MicrosoftIR.

Microsoft 365 Defender detections

Microsoft Defender Antivirus

Microsoft Defender Antivirus detects this threat as the following malware:

  • Trojan:Win32/Kovter!MSR
  • Trojan:Win64/WinGoObfusc.LK!MT
  • Trojan:Win64/BlackByte!MSR
  • HackTool:Win32/AdFind!MSR
  • Trojan:Win64/CobaltStrike!MSR

Microsoft Defender for Endpoint

The following alerts might indicate threat activity related to this threat. Note, however, that these alerts can be also triggered by unrelated threat activity.

  • ‘CVE-2021-31207’ exploit malware was detected
  • An active ‘NetShDisableFireWall’ malware in a command line was prevented from executing.
  • Suspicious registry modification.
  • ‘Rtcore64’ hacktool was detected
  • Possible ongoing hands-on-keyboard activity (Cobalt Strike)
  • A file or network connection related to a ransomware-linked emerging threat activity group detected
  • Suspicious sequence of exploration activities
  • A process was injected with potentially malicious code
  • Suspicious behavior by cmd.exe was observed
  • ‘Blackbyte’ ransomware was detected

Microsoft Defender Vulnerability Management

Microsoft Defender Vulnerability Management surfaces devices that may be affected by the following vulnerabilities used in this threat:

  • CVE-2021-34473
  • CVE-2021-34523
  • CVE-2021-31207
  • CVE-2019-16098

Hunting queries

Microsoft 365 Defender

Microsoft 365 Defender customers can run the following query to find related activity in their networks:

ProxyShell web shell creation events

DeviceProcessEvents| where ProcessCommandLine has_any ("ExcludeDumpster","New-ExchangeCertificate") and ProcessCommandLine has_any ("-RequestFile","-FilePath")

Suspicious vssadmin events

DeviceProcessEvents| where ProcessCommandLine has_any ("vssadmin","vssadmin.exe") and ProcessCommandLine has "Resize ShadowStorage" and ProcessCommandLine has_any ("MaxSize=401MB"," MaxSize=UNBOUNDED")

Detection for persistence creation using Registry Run keys

DeviceRegistryEvents | where ActionType == "RegistryValueSet" | where (RegistryKey has @"Microsoft\Windows\CurrentVersion\RunOnce" and RegistryValueName == "MsEdgeMsE")      or (RegistryKey has @"Microsoft\Windows\CurrentVersion\RunOnceEx" and RegistryValueName == "MsEdgeMsE")    or (RegistryKey has @"Microsoft\Windows\CurrentVersion\Run" and RegistryValueName == "MsEdgeMsE")| where RegistryValueData startswith @"rundll32"| where RegistryValueData endswith @".dll,Default"| project Timestamp,DeviceId,DeviceName,ActionType,RegistryKey,RegistryValueName,RegistryValueData

Microsoft Sentinel

Microsoft Sentinel customers can use the TI Mapping analytics (a series of analytics all prefixed with ‘TI map’) to automatically match the malicious domain indicators mentioned in this blog post with data in their workspace. If the TI Map analytics are not currently deployed, customers can install the Threat Intelligence solution from the Microsoft Sentinel Content Hub to have the analytics rule deployed in their Sentinel workspace. More details on the Content Hub can be found here:  https://learn.microsoft.com/azure/sentinel/sentinel-solutions-deploy

Microsoft Sentinel also has a range of detection and threat hunting content that customers can use to detect the post exploitation activity detailed in this blog in addition to Microsoft 365 Defender detections list above.

Indicators of compromise

The table below shows IOCs observed during our investigation. We encourage our customers to investigate these indicators in their environments and implement detections and protections to identify past related activity and prevent future attacks against their systems.

IndicatorTypeDescription
4a066569113a569a6feb8f44257ac8764ee8f2011765009fdfd82fe3f4b92d3eSHA-256api-msvc.dll (Backdoor installed through RunKeys)
5f37b85687780c089607670040dbb3da2749b91b8adc0aa411fd6280b5fa7103SHA-256sys.exe (Cobalt Strike Beacon)
01aa278b07b58dc46c84bd0b1b5c8e9ee4e62ea0bf7a695862444af32e87f1fdSHA-256rENEgOtiAtES (Vulnerable driver RtCore64.sys created by BlackByte binary)
ba3ec3f445683d0d0407157fda0c26fd669c0b8cc03f21770285a20b3133098fSHA-256[RANDOM_NAME].exe (UPX Packed PsExec created by BlackByte binary)
1b9badb1c646a19cdf101ac4f6fdd23bc61eaab8c9f925eb41848cea9fd0738eSHA-256“netscan.exe”, “netapp.exe (Netscan network discovery tool)
f157090fd3ccd4220298c06ce8734361b724d80459592b10ac632acc624f455eSHA-256AdFind.exe (Active Directory information gathering tool)
hxxps://myvisit[.]alteksecurity[.]org/tURLC2 for backdoor api-msvc.dll
hxxps://temp[.]sh/szAyn/sys.exeURLDownload URL for sys.exe
109.206.243[.]59IP AddressC2 for Cobalt Strike Beacon sys.exe
185.225.73[.]244IP AddressOriginating IP address for ProxyShell exploitation and web shell interaction

NOTE: These indicators should not be considered exhaustive for this observed activity.

Appendix

File extensions targeted by BlackByte binary for encryption:

.4dd.4dl.accdb.accdc.accde.accdr.accdt.accft
.adb.ade.adf.adp.arc.ora.alf.ask
.btr.bdf.cat.cdb.ckp.cma.cpd.dacpac
.dad.dadiagrams.daschema.db.db-shm.db-wal.db3.dbc
.dbf.dbs.dbt.dbv. dbx. dcb. dct. dcx
. ddl. dlis. dp1. dqy. dsk. dsn. dtsx. dxl
. eco. ecx. edb. epim. exb. fcd. fdb. fic
. fmp. fmp12. fmpsl. fol.fp3. fp4. fp5. fp7
. fpt. frm. gdb. grdb. gwi. hdb. his. ib
. idb. ihx. itdb. itw. jet. jtx. kdb. kexi
. kexic. kexis. lgc. lwx. maf. maq. mar. masmav
. mdb. mpd. mrg. mud. mwb. myd. ndf. nnt
. nrmlib. ns2. ns3. ns4. nsf. nv. nv2. nwdb
. nyf. odb. ogy. orx. owc. p96. p97. pan
. pdb. pdm. pnz. qry. qvd. rbf. rctd. rod
. rodx. rpd. rsd. sas7bdat. sbf. scx. sdb. sdc
. sdf. sis. spg. sql. sqlite. sqlite3. sqlitedb. te
. temx. tmd. tps. trc. trm. udb. udl. usr
. v12. vis. vpd. vvv. wdb. wmdb. wrk. xdb
. xld. xmlff. abcddb. abs. abx. accdw. and. db2
. fm5. hjt. icg. icr. kdb. lut. maw. mdn
. mdt       

Shared folders targeted for encryption (Example: \\[IP address]\Downloads):

UsersBackupVeeamhomeshome
mediacommonStorage ServerPublicWeb
ImagesDownloadsBackupDataActiveBackupForBusinessBackups
NAS-DCDCBACKUPDirectorFilesshare 

File extensions ignored:

.ini.url.msilog.log.ldf.lock.theme.msi
.sys.wpx.cpl.adv.msc.scr.key.ico
.dll.hta.deskthemepack.nomedia.msu.rtp.msp.idx
.ani.386.diagcfg.bin.mod.ics.com.hlp
 .spl.nls.cab.exe.diagpkg.icl.ocx.rom
.prf.thempack.msstyles.icns.mpa.drv.cur.diagcab
.cmd.shs      

Folders ignored:

windowsbootprogram files (x86)windows.oldprogramdata
intelbitdefendertrend microwindowsappsappdata
application datasystem volume informationperflogsmsocache 

Files ignored:

bootnxtntldrbootmgrthumbs.db
ntuser.datbootsect.bakautoexec.baticoncache.db
bootfont.bin   

Processes terminated:

teracopyteamviewernsservicensctrluranium
processhackerprocmonpestudioprocmon64x32dbg
x64dbgcff explorerprocexppslisttcpview
tcpvcondbgviewrammaprammap64vmmap
ollydbgautorunsautorunsscfilemonregmon
idaqidaq64immunitydebuggerwiresharkdumpcap
hookexplorerimportrecpetoolslordpesysinspector
proc_analyzersysanalyzersniff_hitwindbgjoeboxcontrol
joeboxserverresourcehackerfiddlerhttpdebuggerdumpit
rammaprammap64vmmapagntsvccntaosmgr
dbeng50dbsnmpencsvcinfopathisqlplussvc
mbamtraymsaccessmsftesqlmspubmydesktopqos
mydesktopservicemysqldmysqld-ntmysqld-optNtrtscan
ocautoupdsocommocssdonenoteoracle
outlookPccNTMonpowerpntsqbcoreservicesql
sqlagentsqlbrowsersqlservrsqlwritersteam
synctimetbirdconfigthebatthebat64thunderbird
tmlistenvisiowinwordwordpadxfssvccon
zoolz    

Services terminated:

CybereasonRansomFreevnetdbpcdSamSsTeraCopyService
msftesqlnsServiceklvssbridge64vapiendpointShMonitor
SmcinstSmcServiceSntpServicesvcGenericHostSwi_
TmCCSFtmlistenTrueKeyTrueKeySchedulerTrueKeyServiceHelper
WRSVCMcTaskManagerOracleClientCache80mfefirewbengine
mfemmsRESvcmfevtpsacsvrSAVAdminService
SepMasterServicePDVFSServiceESHASRVSDRSVCFA_Scheduler
KAVFSKAVFS_KAVFSGTkavfsslpklnagentmacmnsvc
masvcMBAMServiceMBEndpointAgentMcShieldaudioendpointbuilder
AntivirusAVPDCAgentbedbgEhttpSrv
MMSekrnEPSecurityServiceEPUpdateServicentrtscan
EsgShKernelmsexchangeadtopologyAcrSch2SvcMSOLAP$TPSAMAIntel(R) PROSet Monitoring
msexchangeimap4ARSMunistoresvc_1af40aReportServer$TPSMSOLAP$SYSTEM_BGC
W3SvcMSExchangeSRSReportServer$TPSAMAZoolz 2 ServiceMSOLAP$TPS
aphidmonitorserviceSstpSvcMSExchangeMTAReportServer$SYSTEM_BGCSymantec System Recovery
UI0DetectMSExchangeSAMSExchangeISReportServerMsDtsServer110
POP3SvcMSExchangeMGMTSMTPSvcMsDtsServerIisAdmin
MSExchangeESEraserSvc11710Enterprise Client ServiceMsDtsServer100NetMsmqActivator
stc_raw_agentVSNAPVSSPDVFSServiceAcrSch2SvcAcronis
CASAD2DWebSvcCAARCUpdateSvcMcAfeeavpsusDLPAgentService
mfewcBMR Boot ServiceDefWatchccEvtMgrccSetMgr
SavRoamRTVsc screenconnectransomsqltelemetrymsexch
vncteamviewermsolapveeambackup
sqlmemtasvsssophossvc$
mepocswuauserv   

Drivers that Blackbyte can bypass:

360avflt.sys360box.sys360fsflt.sys360qpesv.sys5nine.cbt.sys
a2acc.sysa2acc64.sysa2ertpx64.sysa2ertpx86.sysa2gffi64.sys
a2gffx64.sysa2gffx86.sysaaf.sysaalprotect.sysabrpmon.sys
accessvalidator.sysacdriver.sysacdrv.sysadaptivaclientcache32.sysadaptivaclientcache64.sys
adcvcsnt.sysadspiderdoc.sysaefilter.sysagentrtm64.sysagfsmon.sys
agseclock.sysagsyslock.sysahkamflt.sysahksvpro.sysahkusbfw.sys
ahnrghlh.sysaictracedrv_am.sysairship-filter.sysajfsprot.sysalcapture.sys
alfaff.sysaltcbt.sysamfd.sysamfsm.sysamm6460.sys
amm8660.sysamsfilter.sysamznmon.sysantileakfilter.sysantispyfilter.sys
anvfsm.sysapexsqlfilterdriver.sysappcheckd.sysappguard.sysappvmon.sys
arfmonnt.sysarta.sysarwflt.sysasgard.sysashavscan.sys
asiofms.sysaswfsblk.sysaswmonflt.sysaswsnx.sysaswsp.sys
aszfltnt.sysatamptnt.sysatc.sysatdragent.sysatdragent64.sys
aternityregistryhook.sysatflt.sysatrsdfw.sysauditflt.sysaupdrv.sys
avapsfd.sysavc3.sysavckf.sysavfsmn.sysavgmfi64.sys
avgmfrs.sysavgmfx64.sysavgmfx86.sysavgntflt.sysavgtpx64.sys
avgtpx86.sysavipbb.sysavkmgr.sysavmf.sysawarecore.sys
axfltdrv.sysaxfsysmon.sysayfilter.sysb9kernel.sysbackupreader.sys
bamfltr.sysbapfecpt.sysbbfilter.sysbd0003.sysbddevflt.sys
bdfiledefend.sysbdfilespy.sysbdfm.sysbdfsfltr.sysbdprivmon.sys
bdrdfolder.sysbdsdkit.sysbdsfilter.sysbdsflt.sysbdsvm.sys
bdsysmon.sysbedaisy.sysbemk.sysbfaccess.sysbfilter.sys
bfmon.sysbhdrvx64.sysbhdrvx86.sysbhkavka.sysbhkavki.sys
bkavautoflt.sysbkavsdflt.sysblackbirdfsa.sysblackcat.sysbmfsdrv.sys
bmregdrv.sysboscmflt.sysbosfsfltr.sysbouncer.sysboxifier.sys
brcow_x_x_x_x.sysbrfilter.sysbrnfilelock.sysbrnseclock.sysbrowsermon.sys
bsrfsflt.sysbssaudit.sysbsyaed.sysbsyar.sysbsydf.sys
bsyirmf.sysbsyrtm.sysbsysp.sysbsywl.sysbwfsdrv.sys
bzsenspdrv.sysbzsenth.sysbzsenyaradrv.syscaadflt.syscaavfltr.sys
cancelsafe.syscarbonblackk.syscatflt.syscatmf.syscbelam.sys
cbfilter20.syscbfltfs4.syscbfsfilter2017.syscbfsfilter2020.syscbsampledrv.sys
cdo.syscdrrsflt.syscdsgfsfilter.syscentrifyfsf.syscfrmd.sys
cfsfdrvcgwmf.syschange.syschangelog.syschemometecfilter.sys
ciscoampcefwdriver.sysciscoampheurdriver.sysciscosam.sysclumiochangeblockmf.syscmdccav.sys
cmdcwagt.syscmdguard.syscmdmnefs.syscmflt.syscode42filter.sys
codex.sysconduantfsfltr.syscontainermonitor.syscpavfilter.syscpavkernel.sys
cpepmon.syscrexecprev.syscrncache32.syscrncache64.syscrnsysm.sys
cruncopy.syscsaam.syscsaav.syscsacentr.syscsaenh.sys
csagent.syscsareg.syscsascr.syscsbfilter.syscsdevicecontrol.sys
csfirmwareanalysis.syscsflt.syscsmon.syscssdlp.sysctamflt.sys
ctifile.sysctinet.sysctrpamon.sysctx.syscvcbt.sys
cvofflineflt32.syscvofflineflt64.syscvsflt.syscwdriver.syscwmem2k64.sys
cybkerneltracker.syscylancedrv64.syscyoptics.syscyprotectdrv32.syscyprotectdrv64.sys
cytmon.syscyverak.syscyvrfsfd.syscyvrlpc.syscyvrmtgn.sys
datanow_driver.sysdattofsf.sysda_ctl.sysdcfafilter.sysdcfsgrd.sys
dcsnaprestore.sysdeepinsfs.sysdelete_flt.sysdevmonminifilter.sysdfmfilter.sys
dgedriver.sysdgfilter.sysdgsafe.sysdhwatchdog.sysdiflt.sys
diskactmon.sysdkdrv.sysdkrtwrt.sysdktlfsmf.sysdnafsmonitor.sys
docvmonk.sysdocvmonk64.sysdpmfilter.sysdrbdlock.sysdrivesentryfilterdriver2lite.sys
drsfile.sysdrvhookcsmf.sysdrvhookcsmf_amd64.sysdrwebfwflt.sysdrwebfwft.sys
dsark.sysdsdriver.sysdsfemon.sysdsflt.sysdsfltfs.sys
dskmn.sysdtdsel.sysdtpl.sysdwprot.sysdwshield.sys
dwshield64.syseamonm.syseaseflt.syseasyanticheat.syseaw.sys
ecatdriver.sysedevmon.sysednemfsfilter.sysedrdrv.sysedrsensor.sys
edsigk.syseectrl.syseetd32.syseetd64.syseeyehv.sys
eeyehv64.sysegambit.sysegfilterk.sysegminflt.sysegnfsflt.sys
ehdrv.syselock2fsctldriver.sysemxdrv2.sysenigmafilemondriver.sysenmon.sys
epdrv.sysepfw.sysepfwwfp.sysepicfilter.sysepklib.sys
epp64.sysepregflt.syseps.sysepsmn.sysequ8_helper.sys
eraser.sysesensor.sysesprobe.sysestprmon.sysestprp.sys
estregmon.sysestregp.sysestrkmon.sysestrkr.syseventmon.sys
evmf.sysevscase.sysexcfs.sysexprevdriver.sysfailattach.sys
failmount.sysfam.sysfangcloud_autolock_driver.sysfapmonitor.sysfarflt.sys
farwflt.sysfasdriverfcnotify.sysfcontrol.sysfdrtrace.sys
fekern.sysfencry.sysffcfilt.sysffdriver.sysfildds.sys
filefilter.sysfileflt.sysfileguard.sysfilehubagent.sysfilemon.sys
filemonitor.sysfilenamevalidator.sysfilescan.sysfilesharemon.sysfilesightmf.sys
filesystemcbt.sysfiletrace.sysfile_monitor.sysfile_protector.sysfile_tracker.sys
filrdriver.sysfim.sysfiometer.sysfiopolicyfilter.sysfjgsdis2.sys
fjseparettifilterredirect.sysflashaccelfs.sysflightrecorder.sysfltrs329.sysflyfs.sys
fmdrive.sysfmkkc.sysfmm.sysfortiaptfilter.sysfortimon2.sys
fortirmon.sysfortishield.sysfpav_rtp.sysfpepflt.sysfsafilter.sys
fsatp.sysfsfilter.sysfsgk.sysfshs.sysfsmon.sys
fsmonitor.sysfsnk.sysfsrfilter.sysfstrace.sysfsulgk.sys
fsw31rj1.sysgagsecurity.sysgbpkm.sysgcffilter.sysgddcv.sys
gefcmp.sysgemma.sysgeprotection.sysggc.sysgibepcore.sys
gkff.sysgkff64.sysgkpfcb.sysgkpfcb64.sysgofsmf.sys
gpminifilter.sysgroundling32.sysgroundling64.sysgtkdrv.sysgumhfilter.sys
gzflt.syshafsnk.syshbflt.syshbfsfltr.syshcp_kernel_acq.sys
hdcorrelatefdrv.syshdfilemon.syshdransomoffdrv.syshdrfs.sysheimdall.sys
hexisfsmonitor.syshfileflt.syshiofs.syshmpalert.syshookcentre.sys
hooksys.syshpreg.syshsmltmon.syshsmltwhl.syshssfwhl.sys
hvlminifilter.sysibr2fsk.sysiccfileioad.sysiccfilteraudit.sysiccfiltersc.sys
icfclientflt.sysicrlmonitor.sysiderafilterdriver.sysielcp.sysieslp.sys
ifs64.sysignis.sysiguard.sysiiscache.sysikfilesec.sys
im.sysimffilter.sysimfilter.sysimgguard.sysimmflex.sys
immunetprotect.sysimmunetselfprotect.sysinisbdrv64.sysino_fltr.sysintelcas.sys
intmfs.sysinuse.sysinvprotectdrv.sysinvprotectdrv64.sysionmonwdrv.sys
iothorfs.sysipcomfltr.sysipfilter.sysiprotect.sysiridiumswitch.sys
irongatefd.sysisafekrnl.sysisafekrnlmon.sysisafermonisecureflt.sys
isedrv.sysisfpdrv.sysisirmfmon.sysisregflt.sysisregflt64.sys
issfltr.sysissregistry.sysit2drv.sysit2reg.sysivappmon.sys
iwdmfs.sysiwhlp.sysiwhlp2.sysiwhlpxp.sysjdppsf.sys
jdppwf.sysjkppob.sysjkppok.sysjkpppf.sysjkppxk.sys
k7sentry.syskavnsi.syskawachfsminifilter.syskc3.syskconv.sys
kernelagent32.syskewf.syskfac.syskfileflt.syskisknl.sys
klam.sysklbg.sysklboot.syskldback.syskldlinf.sys
kldtool.sysklfdefsf.sysklflt.sysklgse.sysklhk.sys
klif.sysklifaa.sysklifks.sysklifsm.sysklrsps.sys
klsnsr.sysklupd_klif_arkmon.syskmkuflt.syskmnwch.syskmxagent.sys
kmxfile.syskmxsbx.sysksfsflt.sysktfsfilter.sysktsyncfsflt.sys
kubwksp.syslafs.syslbd.syslbprotect.syslcgadmon.sys
lcgfile.syslcgfilemon.syslcmadmon.syslcmfile.syslcmfilemon.sys
lcmprintmon.sysldsecdrv.syslibwamf.syslivedrivefilter.sysllfilter.sys
lmdriver.syslnvscenter.syslocksmith.syslragentmf.syslrtp.sys
magicbackupmonitor.sysmagicprotect.sysmajoradvapi.sysmarspy.sysmaxcryptmon.sys
maxproc64.sysmaxprotector.sysmbae64.sysmbam.sysmbamchameleon.sys
mbamshuriken.sysmbamswissarmy.sysmbamwatchdog.sysmblmon.sysmcfilemon32.sys
mcfilemon64.sysmcstrg.sysmearwfltdriver.sysmessage.sysmfdriver.sys
mfeaack.sysmfeaskm.sysmfeavfk.sysmfeclnrk.sysmfeelamk.sys
mfefirek.sysmfehidk.sysmfencbdc.sysmfencfilter.sysmfencoas.sys
mfencrk.sysmfeplk.sysmfewfpk.sysminiicpt.sysminispy.sys
minitrc.sysmlsaff.sysmmpsy32.sysmmpsy64.sysmonsterk.sys
mozycorpfilter.sysmozyenterprisefilter.sysmozyentfilter.sysmozyhomefilter.sysmozynextfilter.sys
mozyoemfilter.sysmozyprofilter.sysmpfilter.sysmpkernel.sysmpksldrv.sys
mpxmon.sysmracdrv.sysmrxgoogle.sysmscan-rt.sysmsiodrv4.sys
msixpackagingtoolmonitor.sysmsnfsflt.sysmspy.sysmssecflt.sysmtsvcdf.sys
mumdi.sysmwac.sysmwatcher.sysmwfsmfltr.sysmydlpmf.sys
namechanger.sysnanoavmf.sysnaswsp.sysndgdmk.sysneokerbyfilter
netaccctrl.sysnetaccctrl64.sysnetguard.sysnetpeeker.sysngscan.sys
nlcbhelpi64.sysnlcbhelpx64.sysnlcbhelpx86.sysnlxff.sysnmlhssrv01.sys
nmpfilter.sysnntinfo.sysnovashield.sysnowonmf.sysnpetw.sys
nprosec.sysnpxgd.sysnpxgd64.sysnravwka.sysnrcomgrdka.sys
nrcomgrdki.sysnregsec.sysnrpmonka.sysnrpmonki.sysnsminflt.sys
nsminflt64.sysntest.sysntfsf.sysntguard.sysntps_fa.sys
nullfilter.sysnvcmflt.sysnvmon.sysnwedriver.sysnxfsmon.sys
nxrmflt.sysoadevice.sysoavfm.sysoczminifilter.sysodfsfilter.sys
odfsfimfilter.sysodfstokenfilter.sysoffsm.sysomfltlh.sysosiris.sys
ospfile_mini.sysospmon.sysparity.syspassthrough.syspath8flt.sys
pavdrv.syspcpifd.syspctcore.syspctcore64.syspdgenfam.sys
pecfilter.sysperfectworldanticheatsys.syspervac.syspfkrnl.syspfracdrv.sys
pgpfs.syspgpwdefs.sysphantomd.sysphdcbtdrv.syspkgfilter.sys
pkticpt.sysplgfltr.sysplpoffdrv.syspointguardvista64f.syspointguardvistaf.sys
pointguardvistar32.syspointguardvistar64.sysprocmon11.sysproggerdriver.syspsacfileaccessfilter.sys
pscff.syspsgdflt.syspsgfoctrl.syspsinfile.syspsinproc.sys
psisolator.syspwipf6.syspwprotect.syspzdrvxp.sysqdocumentref.sys
qfapflt.sysqfilter.sysqfimdvr.sysqfmon.sysqminspec.sys
qmon.sysqqprotect.sysqqprotectx64.sysqqsysmon.sysqqsysmonx64.sys
qutmdrv.sysranpodfs.sysransomdefensexxx.sysransomdetect.sysreaqtor.sys
redlight.sysregguard.sysreghook.sysregmonex.sysrepdrv.sys
repmon.sysrevefltmgr.sysreveprocprotection.sysrevonetdriver.sysrflog.sys
rgnt.sysrmdiskmon.sysrmphvmonitor.sysrpwatcher.sysrrmon32.sys
rrmon64.sysrsfdrv.sysrsflt.sysrspcrtw.sysrsrtw.sys
rswctrl.sysrswmon.sysrtologon.sysrtw.sysruaff.sys
rubrikfileaudit.sysruidiskfs.sysruieye.sysruifileaccess.sysruimachine.sys
ruiminispy.sysrvsavd.sysrvsmon.sysrw7fsflt.sysrwchangedrv.sys
ryfilter.sysryguard.syssafe-agent.syssafsfilter.syssagntflt.sys
sahara.syssakfile.syssakmfile.syssamflt.syssamsungrapidfsfltr.sys
sanddriver.syssanta.syssascan.syssavant.syssavonaccess.sys
scaegis.sysscauthfsflt.sysscauthiodrv.sysscensemon.sysscfltr.sys
scifsflt.syssciptflt.syssconnect.sysscred.syssdactmon.sys
sddrvldr.syssdvfilter.sysse46filter.syssecdodriver.syssecone_filemon10.sys
secone_proc10.syssecone_reg10.syssecone_usb.syssecrmm.syssecufile.sys
secure_os.syssecure_os_mf.syssecurofsd_x64.syssefo.syssegf.sys
segiraflt.syssegmd.syssegmp.syssentinelmonitor.sysserdr.sys
serfs.syssfac.syssfavflt.syssfdfilter.syssfpmonitor.sys
sgresflt.sysshdlpmedia.sysshdlpsf.syssheedantivirusfilterdriver.syssheedselfprotection.sys
shldflt.syssi32_file.syssi64_file.syssieflt.syssimrep.sys
sisipsfilefiltersk.sysskyamdrv.sysskyrgdrv.sysskywpdrv.sys
slb_guard.syssld.syssmbresilfilter.syssmdrvnt.syssndacs.sys
snexequota.syssnilog.syssnimg.syssnscore.syssnsrflt.sys
sodatpfl.syssoftfilterxxx.syssoidriver.syssolitkm.syssonar.sys
sophosdt2.syssophosed.syssophosntplwf.syssophossupport.sysspbbcdrv.sys
spellmon.sysspider3g.sysspiderg3.sysspiminifilter.sysspotlight.sys
sprtdrv.syssqlsafefilterdriver.syssrminifilterdrv.syssrtsp.syssrtsp64.sys
srtspit.sysssfmonm.sysssrfsf.sysssvhook.sysstcvsm.sys
stegoprotect.sysstest.sysstflt.sysstkrnl64.sysstoragedrv.sys
strapvista.sysstrapvista64.syssvcbt.sysswcommfltr.sysswfsfltr.sys
swfsfltrv2.sysswin.syssymafr.syssymefa.syssymefa64.sys
symefasi.syssymevent.syssymevent64x86.syssymevnt.syssymevnt32.sys
symhsm.syssymrg.syssysdiag.syssysmon.syssysmondrv.sys
sysplant.sysszardrv.sysszdfmdrv.sysszdfmdrv_usb.sysszedrdrv.sys
szpcmdrv.systaniumrecorderdrv.systaobserveflt.systbfsfilt.systbmninifilter.sys
tbrdrv.systdevflt.systedrdrv.systenrsafe2.systesmon.sys
tesxnginx.systesxporter.systffregnt.systfsflt.systgfsmf.sys
thetta.systhfilter.systhreatstackfim.systkdac2k.systkdacxp.sys
tkdacxp64.systkfsavxp.systkfsavxp64.systkfsft.systkfsft64.sys
tkpcftcb.systkpcftcb64.systkpl2k.systkpl2k64.systksp2k.sys
tkspxp.systkspxp64.systmactmon.systmcomm.systmesflt.sys
tmevtmgr.systmeyes.systmfsdrv2.systmkmsnsr.systmnciesc.sys
tmpreflt.systmumh.systmums.systmusa.systmxpflt.sys
topdogfsfilt.systrace.systrfsfilter.systritiumfltr.systrpmnflt.sys
trufos.systrustededgeffd.systsifilemon.systss.syststfilter.sys
tstfsredir.syststregredir.systsyscare.systvdriver.systvfiltr.sys
tvmfltr.systvptfile.systvspfltr.systwbdcfilter.systxfilefilter.sys
txregmon.sysuamflt.sysucafltdriver.sysufdfilter.sysuncheater.sys
upguardrealtime.sysusbl_ifsfltr.sysusbpdh.sysusbtest.sysuvmcifsf.sys
uwfreg.sysuwfs.sysv3flt2k.sysv3flu2k.sysv3ift2k.sys
v3iftmnt.sysv3mifint.sysvarpffmon.sysvast.sysvcdriv.sys
vchle.sysvcmfilter.sysvcreg.sysveeamfct.sysvfdrv.sys
vfilefilter.sysvfpd.sysvfsenc.sysvhddelta.sysvhdtrack.sys
vidderfs.sysvintmfs.sysvirtfile.sysvirtualagent.sysvk_fsf.sys
vlflt.sysvmwvvpfsd.sysvollock.sysvpdrvnt.sysvradfil2.sys
vraptdef.sysvraptflt.sysvrarnflt.sysvrbbdflt.sysvrexpdrv.sys
vrfsftm.sysvrfsftmx.sysvrnsfilter.sysvrsdam.sysvrsdcore.sys
vrsdetri.sysvrsdetrix.sysvrsdfmx.sysvrvbrfsfilter.sysvsepflt.sys
vsscanner.sysvtsysflt.sysvxfsrep.syswats_se.syswbfilter.sys
wcsdriver.syswdcfilter.syswdfilter.syswdocsafe.syswfp_mrt.sys
wgfile.syswhiteshield.syswindbdrv.syswindd.syswinfladrv.sys
winflahdrv.syswinfldrv.syswinfpdrv.syswinload.syswinteonminifilter.sys
wiper.syswlminisecmod.syswntgpdrv.syswraekernel.syswrcore.sys
wrcore.x64.syswrdwizfileprot.syswrdwizregprot.syswrdwizscanner.syswrdwizsecure64.sys
wrkrn.syswrpfv.syswsafefilter.syswscm.sysxcpl.sys
xendowflt.sysxfsgk.sysxhunter1.sysxhunter64.sysxiaobaifs.sys
xiaobaifsr.sysxkfsfd.sysxoiv8x64.sysxomfcbt8x64.sysyahoostorage.sys
yfsd.sysyfsd2.sysyfsdr.sysyfsrd.syszampit_ml.sys
zesfsmf.syszqfilter.syszsfprt.syszwasatom.syszwpxesvr.sys
zxfsfilt.syszyfm.syszzpensys.sys  

Further reading

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Source :
https://www.microsoft.com/en-us/security/blog/2023/07/06/the-five-day-job-a-blackbyte-ransomware-intrusion-case-study/

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