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
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.
Darktrace Named the Only 2025 Gartner® Peer Insights™ Customers’ Choice for Network Detection and Response
Darktrace has been named the only Customers’ Choice in the 2025 Gartner® Peer Insights™ Voice of the Customer for Network Detection and Response, earning a 4.8/5 rating from 242 reviews and being named both Gartner Customers’ Choice and a Magic Quadrant Leader recognition.
Tracking a Dragon: Investigating a DragonForce-affiliated ransomware attack with Darktrace
Darktrace investigates a DragonForce-affiliated ransomware attack targeting the manufacturing sector. The blog details the attack lifecycle, from network scanning and credential brute-forcing to data exfiltration and file encryption.
WSUS Exploited: Darktrace’s Analysis of Post-Exploitation Activities Related to CVE-2025-59287
In October 2025, Microsoft disclosed a critical vulnerability in its Windows Server Update Service (WSUS). This blog details Darktrace’s analysis of the vulnerability, focusing on two US customers where active exploitation was detected.
Darktrace Named the Only 2025 Gartner® Peer Insights™ Customers’ Choice for Network Detection and Response
Darktrace: The only Customers’ Choice for NDR in 2025
In a year defined by rapid change across the threat landscape, recognition from those who use and rely on security technology every day means the most.
That’s why we’re proud to share that Darktrace has been named the only Customers’ Choice in the 2025 Gartner® Peer Insights™ Voice of the Customer for Network Detection and Response (NDR).
Out of 11 leading NDR vendors evaluated, Darktrace stood alone as the sole Customers’ Choice, a recognition that we feel reflects not just our innovation, but the trust and satisfaction of the customers who secure their networks with Darktrace every day.
What the Gartner® Peer Insights™ Voice of the Customer means
“Voice of the Customer” is a document that synthesizes Gartner Peer Insights reviews into insights for buyers of technology and services. This aggregated peer perspective, along with the individual detailed reviews, is complementary to Gartner expert research and can play a key role in your buying process. Peers are verified reviewers of a technology product or service, who not only rate the offering, but also provide valuable feedback to consider before making a purchase decision. Vendors placed in the upper-right “Customers’ Choice” quadrant of the “Voice of the Customer” have scores that meet or exceed the market average for both axes (User Interest and Adoption, and Overall Experience).It’s not just a rating. We feel it’s a reflection of genuine customer sentiment and success in the field.
In our view, Customers consistently highlight Darktrace’s ability to:
Detect and respond to unknown threats in real time
Deliver unmatched visibility across IT, OT, and cloud environments
Automate investigations and responses through AI-driven insights
We believe this recognition reinforces what our customers already know: that Darktrace helps them see, understand, and stop attacks others miss.
A rare double: recognized by customers and analysts alike
This distinction follows another major recogniton. Darktrace’s placement as a Leader in the Gartner® Magic Quadrant™ for Network Detection and Response earlier this year.
That makes Darktrace the only vendor to achieve both:
A Leader status in the Gartner Magic Quadrant for NDR, and
A Customers’ Choice in Gartner Peer Insights 2025
It’s a rare double that we feel reflects both industry leadership and customer trust, two perspectives that, together, define what great cybersecurity looks like.
A Customers’ Choice across the network and the inbox
To us, this recognition also builds on Darktrace’s momentum across multiple domains. Earlier this year, Darktrace was also named a Customers’ Choice for Email Security Platforms in the Gartner® Peer Insights™ report.
With more than 1,000 verified reviews across Network Detection and Response, Email Security Platforms, and Cyber Physical Systems (CPS), we at Darktrace are proud to be trusted across the full attack surface, from the inbox to the industrial network.
Thank you to our customers
We’re deeply grateful to every customer who shared their experience with Darktrace on Gartner Peer Insights. Your insights drive our innovation and continue to shape how we protect complex, dynamic environments across the world.
Gartner® Peer Insights™ content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.
Magic Quadrant and Peer Insights are registered trademarks of Gartner, Inc. and/or its affiliates and is used herein with permission. All rights reserved.
Gartner, Voice of the Customer for Network Detection and Response, By Peer Community Contributor, 30 October 2025
Tracking a Dragon: Investigating a DragonForce-affiliated ransomware attack with Darktrace
What is DragonForce?
DragonForce is a Ransomware-as-a-Service (RaaS) platform that emerged in late 2023, offering broad-scale capabilities and infrastructure to threat actors. Recently, DragonForce has been linked to attacks targeting the UK retail sector, resulting in several high-profile cases [1][2]. Moreover, the group launched an affiliate program offering a revenue share of roughly 20%, significantly lower than commissions reported across other RaaS platforms [3].
This Darktrace case study examines a DragonForce-linked RaaS infection within the manufacturing industry. The earliest signs of compromise were observed during working hours in August 2025, where an infected device started performing network scans and attempted to brute-force administrative credentials. After eight days of inactivity, threat actors returned and multiple devices began encrypting files via the SMB protocol using a DragonForce-associated file extension. Ransom notes referencing the group were also dropped, suggesting the threat actor is claiming affiliation with DragonForce, though this has not been confirmed.
Despite Darktrace’s detection of the attack in its early stages, the customer’s deployment did not have Darktrace’s Autonomous Response capability configured, allowing the threat to progress to data exfiltration and file encryption.
Darktrace's Observations
While the initial access vector was not clearly defined in this case study, it was likely achieved through common methods previously employed out by DragonForce affiliates. These include phishing emails leveraging social engineering tactics, exploitation of public-facing applications with known vulnerabilities, web shells, and/or the abuse of remote management tools.
Darktrace’s analysis identified internal devices performing internal network scanning, brute-forcing credentials, and executing unusual Windows Registry operations. Notably, Windows Registry events involving "Schedule\Taskcache\Tasks" contain subkeys for individual tasks, storing GUIDs that can be used to locate and analyze scheduled tasks. Additionally, Control\WMI\Security holds security descriptors for WMI providers and Event Tracing loggers that use non-default security settings respectively.
Furthermore, Darktrace identified data exfiltration activity over SSH, including connections to an ASN associated with a malicious hosting service geolocated in Russia.
1. Network Scan & Brute Force
Darktrace identified anomalous behavior in late August to early September 2025, originating from a source device engaging in internal network scanning followed by brute-force attempts targeting administrator credential, including “administrator”, “Admin”, “rdpadmin”, “ftpadmin”.
Upon further analysis, one of the HTTP connections seen in this activity revealed the use of the user agent string “OpenVAS-VT”, suggesting that the device was using the OpenVAS vulnerability scanner. Subsequently, additional devices began exhibiting network scanning behavior. During this phase, a file named “delete.me” was deleted by multiple devices using SMB protocol. This file is commonly associated with network scanning and penetration testing tool NetScan.
2. Windows Registry Key Update
Following the scanning phase, Darktrace observed the initial device then performing suspicious Winreg operations. This included the use of the ”BaseRegOpenKey” function across multiple registry paths.
Additional operations such as “BaseRegOpenKey” and “BaseRegQueryValue” were also seen around this time. These operations are typically used to retrieve specific registry key values and allow write operations to registry keys.
The registry keys observed included “SYSTEM\CurrentControlSet\Control\WMI\Security” and “Software\Microsoft\Windows NT\CurrentVersion\Schedule\Taskcache\Tasks”. These keys can be leveraged by malicious actors to update WMI access controls and schedule malicious tasks, respectively, both of which are common techniques for establishing persistence within a compromised system.
3. New Administrator Credential Usage
Darktrace subsequently detected the device using a highly privileged credential, “administrator”, via a successful Kerberos login for the first time. Shortly after, the same credential was used again for a successful SMB session.
These marked the first instances of authentication using the “administrator” credential across the customer’s environment, suggesting potential malicious use of the credential following the earlier brute-force activity.
Figure 1: Darktrace’s detection of administrator credentials being used in Kerberos login events by an infected device.
Figure 2: Darktrace’s detection of administrator credentials being used in SMB sessions by an infected device.
4. Data Exfiltration
Prior to ransomware deployment, several infected devices were observed exfiltrating data to the malicious IP 45.135.232[.]229 via SSH connections [7][8]. This was followed by the device downloading data from other internal devices and transferring an unusually large volume of data to the same external endpoint.
The IP address was first seen on the network on September 2, 2025 - the same date as the observed data exfiltration activity preceding ransomware deployment and encryption.
Further analysis revealed that the endpoint was geolocated in Russia and registered to the malicious hosting provider Proton66. Multiple external researchers have reported malicious activity involving the same Proton66 ASN (AS198953 Proton66 OOO) as far back as April 2025. These activities notably included vulnerability scanning, exploitation attempts, and phishing campaigns, which ultimately led to malware [4][5][6].
Data Exfiltration Endpoint details.
Endpoint: 45.135.232[.]229
ASN: AS198953 Proton66 OOO
Transport protocol: TCP
Application protocol: SSH
Destination port: 22
Figure 3: Darktrace’s summary of the external IP 45.135.232[.]229, first detected on September 2, 2025. The right-hand side showcases model alerts triggered related to this endpoint including multiple data exfiltration related model alerts.
Further investigation into the endpoint using open-source intelligence (OSINT) revealed that it led to a Microsoft Internet Information Services (IIS) Manager console webpage. This interface is typically used to configure and manage web servers. However, threat actors have been known to exploit similar setups, using fake certificate warnings to trick users into downloading malware, or deploying malicious IIS modules to steal credentials.
Figure 4: Live screenshot of the destination (45.135.232[.]229), captured via OSINT sources, displaying a Microsoft IIS Manager console webpage.
5. Ransomware Encryption & Ransom Note
Multiple devices were later observed connecting to internal devices via SMB and performing a range of actions indicative of file encryption. This suspicious activity prompted Darktrace’s Cyber AI Analyst to launch an autonomous investigation, during which it pieced together associated activity and provided concrete timestamps of events for the customer’s visibility.
During this activity, several devices were seen writing a file named “readme.txt” to multiple locations, including network-accessible webroot paths such as inetpub\ and wwwroot\. This “readme.txt” file, later confirmed to be the ransom note, claimed the threat actors were affiliated with DragonForce.
At the same time, devices were seen performing SMB Move, Write and ReadWrite actions involving files with the “.df_win” extension across other internal devices, suggesting that file encryption was actively occurring.
Figure 5: Darktrace’s detection of SMB events (excluding Read events) where the device was seen moving or writing files with the “.df_win” extension.
Figure 6: Darktrace’s detection of a spike in SMB Write events with the filename “readme.txt” on September 9, indicating the start of file encryption.
Conclusion
The rise of Ransomware-as-a-Service (RaaS) and increased attacker customization is fragmenting tactics, techniques, and procedures (TTPs), making it increasingly difficult for security teams to prepare for and defend against each unique intrusion. RaaS providers like DragonForce further complicate this challenge by enabling a wide range of affiliates, each with varying levels of sophistication [9].
In this instance, Darktrace was able to identify several stages of the attack kill chain, including network scanning, the first-time use of privileged credentials, data exfiltration, and ultimately ransomware encryption. Had the customer enabled Darktrace’s Autonomous Response capability, it would have taken timely action to interrupt the attack in its early stages, preventing the eventual data exfiltration and ransomware detonation.
Credit to Justin Torres, Senior Cyber Analyst, Nathaniel Jones, VP, Security & AI Strategy, FCISO, & Emma Foulger, Global Threat Research Operations Lead.
Darktrace Cyber AI Analyst Coverage/Investigation Events:
· Web Application Vulnerability Scanning of Multiple Devices
· Port Scanning
· Large Volume of SMB Login Failures
· Unusual RDP Connections
· Widespread Web Application Vulnerability Scanning
· Unusual SSH Connections
· Unusual Repeated Connections
· Possible Application Layer Reconnaissance Activity
· Unusual Administrative Connections
· Suspicious Remote WMI Activity
· Extensive Unusual Administrative Connections
· Suspicious Directory Replication Service Activity
· Scanning of Multiple Devices
· Unusual External Data Transfer
· SMB Write of Suspicious File
· Suspicious Remote Service Control Activity
· Access of Probable Unencrypted Password Files
· Internal Download and External Upload
· Possible Encryption of Files over SMB
· SMB Writes of Suspicious Files to Multiple Devices
The content provided in this blog is published by Darktrace for general informational purposes only and reflects our understanding of cybersecurity topics, trends, incidents, and developments at the time of publication. While we strive to ensure accuracy and relevance, the information is provided “as is” without any representations or warranties, express or implied. Darktrace makes no guarantees regarding the completeness, accuracy, reliability, or timeliness of any information presented and expressly disclaims all warranties.
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