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February 26, 2023

Prevent Cryptojacking Attacks with Darktrace AI Technology

Protect your business from cryptojackers with Darktrace AI! Discover how your business can benefit round-the-clock defense with AI Cybersecurity.
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.
Written by
Victoria Baldie
Director of Analysis, ANZ
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26
Feb 2023

Introduction: Crpyptojacking attacks

Despite the market value of cryptocurrency itself decreasing in the final quarter of 2022, the number of known cryptocurrency mining software variants had more than tripled compared to the previous year. The intensive resource demands of mining cryptocurrency has exacerbated the trend of malicious hijacking third-party computers causing slower processing speeds and higher energy bills for many companies.

Cryptomining is often overlooked by security teams but is indicative of a gap in an organization’s defense in depth technologies and represents unauthorized access to the digital estate. Ignoring cryptomining as a compliance issue can open the floodgates to further compromises and continued access to organizational resources by threat actors.

Although having a security team able to react to and investigate malicious resource hijacking attempts is essential, there will inevitably be occasions when relying on human response alone is not enough. Having a round-the-clock autonomous decision maker able to respond instantaneously is paramount to ensuring a 24/7 defense strategy.

In August 2022, Darktrace detected and responded to an ongoing incident of attempted cryptojacking on the network of a customer in the logistics sector, when a threat actor launched their attack outside of normal business hours in an effort to evade the detection of the human security team. This blog explores how Darktrace AI Analyst and the human SOC team worked in tandem to detect and contain this threat, while providing unparalleled visibility to the customer.

Darktrace coverage of cryptojacking

The initial compromise was detected when Darktrace / NETWORK observed a new user agent on a customer server attempting to connect to an external endpoint that was rarely visited outside of business hours. Darktrace AI Analyst autonomously investigated the endpoint and determined that it redirected to a domain which downloaded an executable file (.exe). Following this, the device began making connections to endpoints associated with mining the Monero cryptocurrency, which automatically triggered an Enhanced Monitoring model, whereupon the Darktrace SOC team sent a Proactive Threat Notification (PTN) to the customer, alerting their security team to this anomalous activity. 

The Darktrace SOC team liaised with the customer via the Ask the Expert (ATE) service, and confirmed the activity, initially reported by Darktrace’s AI Analyst investigation, was related to malicious cryptomining activity. Thereafter, Darktrace's Autonomous Response took immediate action by isolating six critical servers to contain the malicious cryptomining activity and prevent any further compromise.

Figure 1: Screenshot of AI Analyst detecting connections to a rare endpoint on port 9852 to URI //c/root /. Status code of 301 indicated a redirect.
Figure 2: Screenshot of AI Analyst’s detection and summary of a suspicious file, named ‘bean’, being downloaded via wget from a rare external endpoint.

The attack vector of the cryptomining malware was determined through a packet capture (PCAP) of the suspicious file detected by AI Analyst. The PCAP showed that following the initial download of the file, it modified its own permissions to become an executable. While the Darktrace SOC team continued its investigation, the customer was able to maintain contact with the team and gain full visibility over their network through the Darktrace Mobile App. 

Figure 3: Screenshot showing Darktrace’s AI Analyst detection of the cryptomining activity taking place on the customer network. 

Working in tandem, Darktrace was able to instantly identify and investigate the anomalous activity in real time and followed this up with an autonomous investigation with Darktrace AI Analyst, without the need for any human interaction. The Darktrace SOC team was then able supplement this autonomous response, providing precious reaction time for the customer to identify and mitigate this cryptojacking incident. 

Figure 4: Screenshot of the Packet Capture (PCAP) downloaded via the Darktrace UI during the SOC team’s deep packet inspection.

Interestingly, the IP addresses associated with this cryptomining had not been previously reported by open-source intelligence (OSINT) sources, with VirusTotal listing the first public scan as the same date as this attack. This reflects Darktrace’s ability to detect and respond to novel and previously undetected threats as soon as they arise directly through its AI capabilities.

Figure 5: Screenshot of VirusTotal results for the same file name, from the offending IP.
Figure 6: Screenshot of the URL portion of VirusTotal displaying the date, detections, HTTP status codes alongside the relevant URL.

Conclusion

The continued prevalence of malicious cryptomining software underlines the need for instantaneous and autonomous defenses. In addition to hardening an organization’s attack surface, responding to more compliance-focused threats like cryptomining will enable organizations to close gaps which lead to more damaging compromises. Darktrace’s suite of products offers both an AI-driven system which alerts users to malicious downloads and connections, and a dedicated SOC team which works in tandem with its AI to advise security teams and assist them in containing threats at their earliest stages.

In this case, the cryptomining malware was quickly identified and mitigated despite occurring outside of business hours, and there being a lack of OSINT information regarding its indicators of compromise. Leveraging AI gives security teams a round-the-clock defense that responds instantaneously to even novel threats. When combined with human SOC teams, Darktrace offers a formidable defense against an ever-growing sophisticated threat landscape.  

Credit to: Victoria Baldie, Director of Analysis.

Appendices

Darktrace Model Detections 

Below is a list of model breaches in order of trigger. 

  • Model Breach: Compromise / High Priority Crypto Currency Mining 
  • Model Breach: Device / Initial Breach Chain Compromise 
  • Model Breach: Compromise / Monero Mining 

IOCs

165.227.154[.]84 - IP Address - C2 Endpoint

c0136a24781c4ebcafb3c9fdeb22681f6df814b4 - SHA-256 - File downloaded

MITRE AT&CK Mapping

Lateral Movement:

T1210 - Exploit of Remote Services

Command and Control:

T1001 - Data Obfuscation 

T1571 - Non-Standard Port

T1095 – Non-Application Layer Port

T1071 – Web Protocols

Initial Access:

T1189 – Drive by Compromise

Resource Deployment:

T1588 – Malware

References

[1] https://securelist.com/cryptojacking-report-2022/107898/ 

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.
Written by
Victoria Baldie
Director of Analysis, ANZ

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April 2, 2026

How Chinese-Nexus Cyber Operations Have Evolved – And What It Means For Cyber Risk and Resilience 

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Cybersecurity has traditionally organized risk around incidents, breaches, campaigns, and threat groups. Those elements still matter—but if we fixate on individual incidents, we risk missing the shaping of the entire ecosystem. Nation‑state–aligned operators are increasingly using cyber operations to establish long-term strategic leverage, not just to execute isolated attacks or short‑term objectives.  

Our latest research, Crimson Echo, shifts the lens accordingly. Instead of dissecting campaigns, malware families, or actor labels as discrete events, the threat research team analyzed Chinese‑nexus activity as a continuum of behaviors over time. That broader view reveals how these operators position themselves within environments: quietly, patiently, and persistently—often preparing the ground long before any recognizable “incident” occurs.  

How Chinese-nexus cyber threats have changed over time

Chinese-nexus cyber activity has evolved in four phases over the past two decades. This ranges from early, high-volume operations in the 1990s and early 2000s to more structured, strategically-aligned activity in the 2010s, and now toward highly adaptive, identity-centric intrusions.  

Today’s phase is defined by scale, operational restraint, and persistence. Attackers are establishing access, evaluating its strategic value, and maintaining it over time. This reflects a broader shift: cyber operations are increasingly integrated into long-term economic and geopolitical strategies. Access to digital environments, specifically those tied to critical national infrastructure, supply chains, and advanced technology, has become a form of strategic leverage for the long-term.  

How Darktrace analysts took a behavioral approach to a complex problem

One of the challenges in analyzing nation-state cyber activity is attribution. Traditional approaches often rely on tracking specific threat groups, malware families, or infrastructure. But these change constantly, and in the case of Chinese-nexus operations, they often overlap.

Crimson Echo is the result of a retrospective analysis of three years of anomalous activity observed across the Darktrace fleet between July 2022 and September 2025. Using behavioral detection, threat hunting, open-source intelligence, and a structured attribution framework (the Darktrace Cybersecurity Attribution Framework), the team identified dozens of medium- to high-confidence cases and analyzed them for recurring operational patterns.  

This long-horizon, behavior-centric approach allows Darktrace to identify consistent patterns in how intrusions unfold, reinforcing that behavioral patterns that matter.  

What the data shows

Several clear trends emerged from the analysis:

  • Targeting is concentrated in strategically important sectors. Across the dataset, 88% of intrusions occurred in organizations classified as critical infrastructure, including transportation, critical manufacturing, telecommunications, government, healthcare, and Information Technology (IT) services.  
  • Strategically important Western economies are a primary focus. The US alone accounted for 22.5% of observed cases, and when combined with major European economies including Germany, Italy, Spain and the UK, over half of all intrusions (55%) were concentrated in these regions.  
  • Nearly 63% of intrusions of intrusions began with the exploitation of internet-facing systems, reinforcing the continued risk posed by externally exposed infrastructure.  

Two models of cyber operations

Across the dataset, Chinese-nexus activity followed two operational models.  

The first is best described as “smash and grab.” These are short-horizon intrusions optimized for speed. Attackers move quickly – often exfiltrating data within 48 hours – and prioritize scale over stealth. The median duration of these compromises is around 10 days. It’s clear they are willing to risk detection for short-term gain.  

The second is “low and slow.” These operations were less prevalent in the dataset, but potentially more consequential. Here, attackers prioritize persistence, establishing durable access through identity systems and legitimate administrative tools, so they can maintain access undetected for months or even years. In one notable case, the actor had fully compromised the environment and established persistence, only to resurface in the environment more than 600 days after. The operational pause underscores both the depth of the intrusion and the actor’s long‑term strategic intent. This suggests that cyber access is a strategic asset to preserve and leverage over time, and we observed these attacks most often inin sectors of the high strategic importance.  

It’s important to note that the same operational ecosystem can employ both models concurrently, selecting the appropriate model based on target value, urgency, intended access. The observation of a “smash and grab” model should not be solely interpreted as a failure of tradecraft, but instead an operational choice likely aligned with objectives. Where “low and slow” operations are optimized for patience, smash and grab is optimized for speed; both seemingly are deliberate operational choices, not necessarily indicators of capability.  

Rethinking cyber risk

For many organizations, cyber risk is still framed as a series of discrete events. Something happens, it is detected and contained, and the organization moves on. But persistent access, particularly in deeply interconnected environments that span cloud, identity-based SaaS and agentic systems, and complex supply chain networks, creates a major ongoing exposure risk. Even in the absence of disruption or data theft, that access can provide insight into operations, dependencies, and strategic decision-making. Cyber risk increasingly resembles long-term competitive intelligence.  

This has impact beyond the Security Operations Center. Organizations need to shift how they think about governance, visibility, and resilience, and treat cyber exposure as a structural business risk instead of an incident response challenge.  

What comes next

The goal of this research is to provide a clearer understanding of how these operations work, so defenders can recognize them earlier and respond more effectively. That includes shifting from tracking indicators to understanding behaviors, treating identity providers as critical infrastructure risks, expanding supplier oversight, investing in rapid containment capabilities, and more.  

Learn more about the findings of Darktrace’s latest research, Crimson Echo: Understanding Chinese-nexus Cyber Operations Through Behavioral Analysis, by downloading the full report and summaries for business leaders, CISOs, and SOC analysts here.  

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April 1, 2026

AI-powered security for a rapidly growing grocery enterprise

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Protecting a complex, fast-growing retail organization

For this multi-banner grocery holding organization, cybersecurity is considered an essential business enabler, protecting operations, growth, and customer trust. The organization’s lean IT team manages a highly distributed environment spanning corporate offices, 100+ stores, distribution centers and  thousands of endpoints, users, and third-party connections.

Mergers and acquisitions fueled rapid growth, but they also introduced escalating complexity that constrained visibility into users, endpoints, and security risks inherited across acquired environments.

Closing critical visibility gaps with limited resources

Enterprise-wide visibility is a top priority for the organization, says the  Vice President of Information Technology. “We needed insights beyond the perimeter into how users and devices were behaving across the organization.”

A security breach that occurred before the current IT leadership joined the company reinforced the urgency and elevated cybersecurity to an executive-level priority with a focus on protecting customer trust. The goal was to build a multi-layered security model that could deliver autonomous, enterprise-wide protection without adding headcount.

Managing cyber risk in M&A

Mergers and acquisitions are central to the grocery holding company’s growth strategy. But each transaction introduces new cyber risk, including inherited network architectures, inconsistent tooling, excessive privileges, and remnants of prior security incidents that were never fully remediated.

“Our M&A targets range from small chains with a single IT person and limited cyber tools to large chains with more developed IT teams, toolsets and instrumentation,” explains the VP of IT. “We needed a fast, repeatable, and reliable way to assess cyber risk before transactions closed.”

AI-driven security built for scale, speed, and resilience

Rather than layering additional point tools onto an already complex environment, the retailer adopted the Darktrace ActiveAI Security Platform™ in 2020 as part of a broader modernization effort to improve resilience, close visibility gaps, and establish a security foundation that could scale with growth.

“Darktrace’s AI-driven approach provided the ideal solution to these challenges,” shares the VP of IT. “It has empowered our organization to maintain a robust security strategy, ensuring the protection of our network and the smooth operation of our business.”

Enterprise-wide visibility into traffic  

By monitoring both north-south and east-west traffic and applying Self-Learning AI, Darktrace develops a dynamic understanding of how users and devices normally behave across locations, roles, and systems.

“Modeling normal behavior across the environment enables us to quickly spot behavior that doesn’t fit. Even subtle changes that could signal a threat but appear legitimate at first glance,” explains the VP of IT.

Real-time threat containment, 24/7

Adopting autonomous response has created operational breathing room for the security team, says the company’s Cybersecurity  Engineer.

“Early on, we enabled full Darktrace autonomous mode and we continue to do so today,” shares the IT Security Architect. “Allowing the technology to act first gives us the time we need to investigate incidents during business hours without putting the business at risk.”

Unified, actionable view of security ecosystem

The grocery retailer integrated Darktrace with its existing security ecosystem of firewalls, vulnerability management tools, and endpoint detection and response, and the VP of IT described the adoption process as “exceptionally smooth.”

The team can correlate enterprise-wide security data for a unified and actionable picture of all activity and risk. Using this “single pane of glass” approach, the retailer trains Level 1 and Level 2 operations staff to assist with investigations and user follow-ups, effectively extending the reach of the security function without expanding headcount.

From reactive defense to security at scale

With Darktrace delivering continuous visibility, autonomous containment, and integrated security workflows, the organization has strengthened its cybersecurity posture while improving operational efficiency. The result is a security model that not only reduces risk, but also supports growth, resilience, and informed decision-making at the business level.

Faster detection, faster resolution

With autonomous detection and response, the retailer can immediately contain risk while analysts investigate and validate activity. With this approach, the company can maintain continuous protection even outside business hours and reduce the chance of lateral spread across systems or locations.

Enterprise-grade protection with a lean team

From cloud environments to clients to SaaS collaboration tools, Darktrace provides holistic autonomous AI defense, processing petabytes of the organization’s network traffic and investigating millions of individual events that could be indicative of a wider incident.

Today, Darktrace autonomously conducts the majority of all investigations on behalf of the IT team, escalating only a tiny fraction for analyst review. The impact has been profound, freeing analysts from endless alerts and hours of triage so they can focus on more valuable, proactive, and gratifying work.

“From an operational perspective, Darktrace gives us time back,” says the Cybersecurity Engineer. More importantly, says the VP of IT, “it gives us peace of mind that we’re protected even if we’re not actively monitoring every alert.”

A strategic input for M&A decision-making

One of the most strategic outcomes has been the role of cybersecurity on M&A. 90 days prior to closing a transaction, the security team uses Darktrace alongside other tools to perform a cyber risk assessment of the potential acquisition. “Our approach with Darktrace has consistently identified gaps and exposed risks,” says the VP of IT, including:

  • Remnants of previous incidents that were never fully remediated
  • Network configurations with direct internet exposure
  • Excessive administrative privileges in Active Directory or on critical hosts

While security findings may not alter deal timelines, the VP of IT says they can have enormous business implications. “With early visibility into these risks, we can reduce exposure to inherited cyber threats, strengthen our position during negotiations, and establish clear remediation requirements.”

A security strategy built to evolve with the business

As the holding group expands its cloud footprint, it will extend Darktrace protections into Azure, applying the same AI-driven visibility and autonomous response to cloud workloads. The VP of IT says Darktrace's evolving capabilities will be instrumental in addressing the organization’s future cybersecurity needs and ability to adapt to the dynamic nature of cloud security.

“With Darktrace’s AI-driven approach, we have moved beyond reactive defense, establishing a resilient security foundation for confident expansion and modernization.”

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