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October 20, 2021

How Ryuk Ransomware Has Made a Comeback

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20
Oct 2021
Discover how small-time criminals are getting ahold of Ryuk ransomware, and what organizations can do to protect themselves.

In the era of international-scale cyber-warfare, focus has started to move away from small-time cyber thieves toward well-known, well-funded and sometimes government-backed cyber-crime organizations. Cyber-attacks sometimes work on discordant scales, however, and it doesn’t always take big budgets or key players for considerable damage to be dealt.

Numerous stories detail how the criminal and the curious alike have single-handedly breached some of the most secure systems in the world. At the more amusing end, there’s the story of Kristoffer von Hassel who discovered a novel exploit in Microsoft’s Xbox Live system at just five years old. And then of course there are those who hack their way right into promising security careers by breaching systems at major organizations. However, genuine damage has been done by individual threat actors as well.

These might be criminals using second-hand offensive tools, buying botnet armies for as little as $10 on the Dark Web, or using ransomware files downloaded for free. But ultimately, even a single cyber-criminal can inflict crippling damage upon large organizations if they are given the opportunity.

This is especially the case when the tools in their possession have been developed by some of the most notorious names in cyber-crime.

Copycat criminals

In early 2021, Darktrace detected a new instance of the once notorious Ryuk ransomware being launched against a business in the APAC region. The detection was intriguing.

The developers of Ryuk, a prolific cyber-criminal organization given the name ‘Wizard Spider’, had long since abandoned it in favor of a successor called ‘Conti’. Wizard Spider have launched some of the largest cyber-attacks in recent history, allegedly with the support of the Russian government, and are under investigation by Interpol and the FBI. They are not known for using outdated tools.

It soon became clear that this attack was not being launched by Wizard Spider at all, but by small-scale threat actors picking up the tools Wizard Spider left behind. And as the new attackers proved, these tools are still far from defunct.

Ryuk ransomware: A city-stopper for sale

Ryuk ransomware is commonly used to target large enterprise environments, even taking down entire city councils in some instances. Lake City, Florida and the City of Onkaparinga in South Australia are two of its known victims, along with numerous schools and hospitals across the US.

Once active in a system, Ryuk uses a combination of symmetric (AES) and asymmetric (RSA) encryption to encrypt files, disabling Windows’ system restore feature as it does so, and generally demands payment via Bitcoin in return for a private decryption key.

Though Ryuk was not initially sold in the same manner as its predecessor, Hermes, on the Dark Web site ‘exploit[.]in’, it is now believed by some publications that the toolkit must be available somewhere for various threat actors to buy and tailor to their requirements. This explains its recurrence beyond Wizard Spider activities.

New dog, old tricks

Darktrace spotted the new instance of Ryuk during a trial with a real estate business in the APAC region. The first warning sign came when some basic .dat files were downloaded onto one of the business’ devices from an unknown Russian IP address. Darktrace immediately detected that this download was a likely breach and, had Antigena been set up in active mode, would have initiated a targeted response at this early stage.

The .dat files on the infected device allowed the attackers to use RDP (Remote Desktop Protocol) to spread further into the business’ network. Two days after the initial compromise, the threat actor had gained administrative credentials through a bruteforce attack and could begin scanning the network further.

Figure 1: Timeline of the attack

The witching hour

Just an hour after the attacker gained administrative credentials, at approximately 3:30am local time, ransomware files appeared in the business’ network. This timing was not accidental. The attackers knew that the security teams at the target business were home and asleep when the ransomware landed in the small hours of the morning, giving them plenty of time to conduct their attack.

This is precisely the kind of simple tactic which can multiply the scale of an attack without using large budgets or complex toolsets. The Ryuk ransomware rapidly began encrypting corporate files during the night, and by the time the security team returned in the morning, all they could do was shut down the entire network and hope to limit the spread of Ryuk, if only to save a few final devices.

The total attack time, from initial compromise to widespread data encryption, was just two and a half days. Whether due to understaffing or preoccupation, the security team did not find the time in that small window to respond to alerts, and, with Darktrace Antigena in passive mode, the attack was able to go ahead. This business’ need for Autonomous Response, which can protect against old and new attacks around the clock without the need for manual intervention, was painfully apparent.

Autonomous Response: Stop Ryuk before Ryuk stops you

Understanding Ryuk’s history and functionality does little good for organizations when it is still capable of eluding their defenses and catching security teams unawares. Darktrace’s Self-Learning AI is uniquely positioned to address these sophisticated threats, even as they evolve in the hands of different attackers and become unrecognizable to traditional rule-based security approaches.

Utilizing 24/7 Autonomous Response to stop both new and old threats at machine speed gives security teams the best chance of leveling the playing field against attackers. With Darktrace Antigena, the size or status of the attacking organization and their toolset is irrelevant – any anomalous and threatening behavior will be neutralized quickly and accurately, before damage can be done.

Thanks to Darktrace analyst Thomas Nommensen for his insights on the above threat find.

Inside the SOC
Darktrace cyber analysts are world-class experts in threat intelligence, threat hunting and incident response, and provide 24/7 SOC support to thousands of Darktrace customers around the globe. Inside the SOC is exclusively authored by these experts, providing analysis of cyber incidents and threat trends, based on real-world experience in the field.
Author
Brianna Leddy
Director of Analysis

Based in San Francisco, Brianna is Director of Analysis at Darktrace. She joined the analyst team in 2016 and has since advised a wide range of enterprise customers on advanced threat hunting and leveraging Self-Learning AI for detection and response. Brianna works closely with the Darktrace SOC team to proactively alert customers to emerging threats and investigate unusual behavior in enterprise environments. Brianna holds a Bachelor’s degree in Chemical Engineering from Carnegie Mellon University.

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September 26, 2024

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Inside the SOC

Thread Hijacking: How Attackers Exploit Trusted Conversations to Infiltrate Networks

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What is Thread Hijacking?

Cyberattacks are becoming increasingly stealthy and targeted, with malicious actors focusing on high-value individuals to gain privileged access to their organizations’ digital environments. One technique that has gained prominence in recent years is thread hijacking. This method allows attackers to infiltrate ongoing conversations, exploiting the trust within these threads to access sensitive systems.

Thread hijacking typically involves attackers gaining access to a user’s email account, monitoring ongoing conversations, and then inserting themselves into these threads. By replying to existing emails, they can send malicious links, request sensitive information, or manipulate the conversation to achieve their goals, such as redirecting payments or stealing credentials. Because such emails appear to come from a trusted source, they often bypass human security teams and traditional security filters.

How does threat hijacking work?

  1. Initial Compromise: Attackers first gain access to a user’s email account, often through phishing, malware, or exploiting weak passwords.
  2. Monitoring: Once inside, they monitor the user’s email threads, looking for ongoing conversations that can be exploited.
  3. Infiltration: The attacker then inserts themselves into these conversations, often replying to existing emails. Because the email appears to come from a trusted source within an ongoing thread, it bypasses many traditional security filters and raises less suspicion.
  4. Exploitation: Using the trust established in the conversation, attackers can send malicious links, request sensitive information, or manipulate the conversation to achieve their goals, such as redirecting payments or stealing credentials.

A recent incident involving a Darktrace customer saw a malicious actor attempt to manipulate trusted email communications, potentially exposing critical data. The attacker created a new mailbox rule to forward specific emails to an archive folder, making it harder for the customer to notice the malicious activity. This highlights the need for advanced detection and robust preventive tools.

Darktrace’s Self-Learning AI is able to recognize subtle deviations in normal behavior, whether in a device or a Software-as-a-Service (SaaS) user. This capability enables it to detect emerging attacks in their early stages. In this post, we’ll delve into the attacker’s tactics and illustrate how Darktrace / IDENTITY™ successfully identified and mitigated a thread hijacking attempt, preventing escalation and potential disruption to the customer’s network.

Threat hijacking attack overview & Darktrace coverage

On August 8, 2024, Darktrace detected an unusual email received by a SaaS account on a customer’s network. The email appeared to be a reply to a previous chain discussing tax and payment details, likely related to a transaction between the customer and one of their business partners.

Headers of the suspicious email received.
Figure 1: Headers of the suspicious email received.

A few hours later, Darktrace detected the same SaaS account creating a new mailbox rule named “.”, a tactic commonly used by malicious actors to evade detection when setting up new email rules [2]. This rule was designed to forward all emails containing a specific word to the user’s “Archives” folder. This evasion technique is typically used to move any malicious emails or responses to a rarely opened folder, ensuring that the genuine account holder does not see replies to phishing emails or other malicious messages sent by attackers [3].

Darktrace recognized the newly created email rule as suspicious after identifying the following parameters:

  • AlwaysDeleteOutlookRulesBlob: False
  • Force: False
  • MoveToFolder: Archive
  • Name: “.”
  • FromAddressContainsWords: [Redacted]
  • MarkAsRead: True
  • StopProcessingRules: True

Darktrace also noted that the user attempting to create this new email rule had logged into the SaaS environment from an unusual IP address. Although the IP was located in the same country as the customer and the ASN used by the malicious actor was typical for the customer’s network, the rare IP, coupled with the anomalous behavior, raised suspicions.

Figure 2: Hijacked SaaS account creating the new mailbox rule.

Given the suspicious nature of this activity, Darktrace’s Security Operations Centre (SOC) investigated the incident and alerted the customer’s security team of this incident.

Due to a public holiday in the customer's location (likely an intentional choice by the threat actor), their security team did not immediately notice or respond to the notification. Fortunately, the customer had Darktrace's Autonomous Response capability enabled, which allowed it to take action against the suspicious SaaS activity without human intervention.

In this instance, Darktrace swiftly disabled the seemingly compromised SaaS user for 24 hours. This action halted the spread of the compromise to other accounts on the customer’s SaaS platform and prevented any sensitive data exfiltration. Additionally, it provided the security team with ample time to investigate the threat and remove the user from their environment. The customer also received detailed incident reports and support through Darktrace’s Security Operations Support service, enabling direct communication with Darktrace’s expert Analyst team.

Conclusion

Ultimately, Darktrace’s anomaly-based detection allowed it to identify the subtle deviations from the user’s expected behavior, indicating a potential compromise on the customer’s SaaS platform. In this case, Darktrace detected a login to a SaaS platform from an unusual IP address, despite the attacker’s efforts to conceal their activity by using a known ASN and logging in from the expected country.

Despite the attempted SaaS hijack occurring on a public holiday when the customer’s security team was likely off-duty, Darktrace autonomously detected the suspicious login and the creation of a new email rule. It swiftly blocked the compromised SaaS account, preventing further malicious activity and safeguarding the organization from data exfiltration or escalation of the compromise.

This highlights the growing need for AI-driven security capable of responding to malicious activity in the absence of human security teams and detect subtle behavioral changes that traditional security tools.

Credit to: Ryan Traill, Threat Content Lead for his contribution to this blog

Appendices

Darktrace Model Detections

SaaS / Compliance / Anomalous New Email Rule

Experimental / Antigena Enhanced Monitoring from SaaS Client Block

Antigena / SaaS / Antigena Suspicious SaaS Activity Block

Antigena / SaaS / Antigena Email Rule Block

References

[1] https://blog.knowbe4.com/whats-the-best-name-threadjacking-or-man-in-the-inbox-attacks

[2] https://darktrace.com/blog/detecting-attacks-across-email-saas-and-network-environments-with-darktraces-combined-ai-approach

[3] https://learn.microsoft.com/en-us/defender-xdr/alert-grading-playbook-inbox-manipulation-rules

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Maria Geronikolou
Cyber Analyst

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September 26, 2024

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How AI can help CISOs navigate the global cyber talent shortage

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The global picture

4 million cybersecurity professionals are needed worldwide to protect and defend the digital world – twice the number currently in the workforce.1

Innovative technologies are transforming business operations, enabling access to new markets, personalized customer experiences, and increased efficiency. However, this digital transformation also challenges Security Operations Centers (SOCs) with managing and protecting a complex digital environment without additional resources or advanced skills.

At the same time, the cybersecurity industry is suffering a severe global skills shortage, leaving many SOCs understaffed and under-skilled. With a 72% increase in data breaches from 2021-20232, SOCs are dealing with overwhelming alert volumes from diverse security tools. Nearly 60% of cybersecurity professionals report burnout3, leading to high turnover rates. Consequently, only a fraction of alerts are thoroughly investigated, increasing the risk of undetected breaches. More than half of organizations that experienced breaches in 2024 admitted to having short-staffed SOCs.4

How AI can help organizations do more with less

Cyber defense needs to evolve at the same pace as cyber-attacks, but the global skills shortage is making that difficult. As threat actors increasingly abuse AI for malicious purposes, using defensive AI to enable innovation and optimization at scale is reshaping how organizations approach cybersecurity.

The value of AI isn’t in replacing humans, but in augmenting their efforts and enabling them to scale their defense capabilities and their value to the organization. With AI, cybersecurity professionals can operate at digital speed, analyzing vast data sets, identifying more vulnerabilities with higher accuracy, responding and triaging faster, reducing risks, and implementing proactive measures—all without additional staff.

Research indicates that organizations leveraging AI and automation extensively in security functions—such as prevention, detection, investigation, or response—reduced their average mean time to identify (MTTI) and mean time to contain (MTTC) data breaches by 33% and 43%, respectively. These organizations also managed to contain breaches nearly 100 days faster on average compared to those not using AI and automation.5

First, you've got to apply the right AI to the right security challenge. We dig into how different AI technologies can bridge specific skills gaps in the CISO’s Guide to Navigating the Cybersecurity Skills Shortage.

Cases in point: AI as a human force multiplier

Let’s take a look at just some of the cybersecurity challenges to which AI can be applied to scale defense efforts and relieve the burden on the SOC. We go further into real-life examples in our white paper.

Automated threat detection and response

AI enables 24/7 autonomous response, eliminating the need for after-hours SOC shifts and providing security leaders with peace of mind. AI can scale response efforts by analyzing vast amounts of data in real time, identifying anomalies, and initiating precise autonomous actions to contain incidents, which buys teams time for investigation and remediation.  

Triage and investigation

AI enhances the triage process by automatically categorizing and prioritizing security alerts, allowing cybersecurity professionals to focus on the most critical threats. It creates a comprehensive picture of an attack, helps identify its root cause, and generates detailed reports with key findings and recommended actions.  

Automation also significantly reduces overwhelming alert volumes and high false positive rates, enabling analysts to concentrate on high-priority threats and engage in more proactive and strategic initiatives.

Eliminating silos and improving visibility across the enterprise

Security and IT teams are overwhelmed by the technological complexity of operating multiple tools, resulting in manual work and excessive alerts. AI can correlate threats across the entire organization, enhancing visibility and eliminating silos, thereby saving resources and reducing complexity.

With 88% of organizations favoring a platform approach over standalone solutions, many are consolidating their tech stacks in this direction. This consolidation provides native visibility across clouds, devices, communications, locations, applications, people, and third-party security tools and intelligence.

Upskilling your existing talent in AI

As revealed in the State of AI Cybersecurity Survey 2024, only 26% of cybersecurity professionals say they have a full understanding of the different types of AI in use within security products.6

Understanding AI can upskill your existing staff, enhancing their expertise and optimizing business outcomes. Human expertise is crucial for the effective and ethical integration of AI. To enable true AI-human collaboration, cybersecurity professionals need specific training on using, understanding, and managing AI systems. To make this easier, the Darktrace ActiveAI Security Platform is designed to enable collaboration and reduce the learning curve – lowering the barrier to entry for junior or less skilled analysts.  

However, to bridge the immediate expertise gap in managing AI tools, organizations can consider expert managed services that take the day-to-day management out of the SOC’s hands, allowing them to focus on training and proactive initiatives.

Conclusion

Experts predict the cybersecurity skills gap will continue to grow, increasing operational and financial risks for organizations. AI for cybersecurity is crucial for CISOs to augment their teams and scale defense capabilities with speed, scalability, and predictive insights, while human expertise remains vital for providing the intuition and problem-solving needed for responsible and efficient AI integration.

If you’re thinking about implementing AI to solve your own cyber skills gap, consider the following:

  • Select an AI cybersecurity solution tailored to your specific business needs
  • Review and streamline existing workflows and tools – consider a platform-based approach to eliminate inefficiencies
  • Make use of managed services to outsource AI expertise
  • Upskill and reskill existing talent through training and education
  • Foster a knowledge-sharing culture with access to knowledge bases and collaboration tools

Interested in how AI could augment your SOC to increase efficiency and save resources? Read our longer CISO’s Guide to Navigating the Cybersecurity Skills Shortage.

And to better understand cybersecurity practitioners' attitudes towards AI, check out Darktrace’s State of AI Cybersecurity 2024 report.

References

  1. https://www.isc2.org/research  
  2. https://www.forbes.com/advisor/education/it-and-tech/cybersecurity-statistics/  
  3. https://www.informationweek.com/cyber-resilience/the-psychology-of-cybersecurity-burnout  
  4. https://www.ibm.com/downloads/cas/1KZ3XE9D  
  5. https://www.ibm.com/downloads/cas/1KZ3XE9D  
  6. https://darktrace.com/resources/state-of-ai-cyber-security-2024
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