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October 11, 2017

Stealth Attacks: The ‘Matrix Banker’ Reloaded

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11
Oct 2017
Over the last few weeks, Darktrace has confidently identified traces of the resurgence of a stealthy attack targeting Latin American companies. Learn more!

Overview

Over the last few weeks, Darktrace has confidently identified traces of the resurgence of a stealthy attack targeting Latin American companies. This targeted campaign was first observed between March and June this year. Arbor Networks initially labelled the malware used in the campaign ‘Matrix Banker’. The name used by Proofpoint is ‘Win32/RediModiUpd’. The malware used by the attackers appeared to be still under development when the last report came out in June 2017.

Darktrace has observed an attack wave targeting Mexican companies in August and September 2017. Some of the TTPs (tools, techniques, procedures) observed bear close resemblance to those seen in the ‘Matrix Banker’ attacks earlier this year. The campaign is crafted to be particularly stealthy and to blend into certain networks in Latin America, confirming the suspicion of its targeted nature. Darktrace’s machine learning and AI algorithms were able to identify the infected devices almost instantaneously, despite apparent efforts by the malware author to be covert and stealthy.

Between August and October 2017, Darktrace detected highly anomalous behavior on five seemingly unrelated networks in Mexico. Unlike the original strain of this attack, which was believed to target financial institutions almost exclusively, this latest variant affected customers across a number of industry verticals, suggesting that the threat actors are diversifying their targets. Darktrace has seen the attack hit companies in the healthcare, telecommunications, food and retail sectors.

Infection process

The initial infection vector appears to be phishing emails. The users downloaded the initial piece of malware from compromised Mexican websites. The infected files were Windows executables masqueraded as .mp3 and .gif files. Example downloads are listed below. Darktrace instantly detected the highly anomalous behavior of these downloads, which occurred from 100% rare external domains for the networks, and alerted the respective security teams.

hxxp://gorrasbaratas.com[.]mx/images/sss/sound.mp3 [1]
hxxp://inseltech.com[.]mx/inicio/wp-includes/kk/sound.mp3 [2]

The actual file names of the downloads are ‘logo.gif’.

The ‘Matrix Bankers’ attack tried to conceal malware downloads using masqueraded files in previous attacks. What is interesting about the hacked websites serving the malware is that they are using the .mx top level domain. This localised and targeted technique is used to conceal the traffic and make it blend in with normal network traffic on networks in Mexico.

Following the initial infection, in some cases a second stage malware was downloaded. Darktrace detected this as more anomalous activity since the downloads took place from more 100% rare external destinations:

hxxp://dackdack[.]club/APIv3/modules/nn_grabber_x64.dll [3]
hxxp://dackdack[.]club/APIv3/modules/nn_grabber_x32.dll [4]

Successful second stage downloads were seen to be followed by suspicious HTTP POST beaconing behavior, resembling command and control communication to various domains:

hxxp://kuxkux[.]bit/APIv3/api.php
hxxp://drdrfdd[.]cat/forum/logout.php
hxxp://eaxsess[.]cat/forum/logout.php

Not all targeted companies were seen to receive a second-stage malware download. This might indicate a sophisticated attack plan where the initial generic, covert backdoor is followed by a targeted second-stage payload that is chosen based on the victim and its potential value to the cyber criminals (long term data exfiltration, ransomware, banking Trojan…). Customers reported that infected devices had their anti-virus disabled, or removed by the malware. This showcases that companies cannot solely rely on signature based systems to catch novel, evolving threats.

The beaconing behavior to these 100% unusual external domains was immediately detected as it represented a strong deviation from the devices’ normal ‘pattern of life’. The use of domains hosted on .cat (top level domain used for the Catalan culture and language) indicates that the attackers are highly aware of the cultural context of their target victims and try to make the malware communication blend in with network traffic.

Compromised machines made further repeated DNS requests to the domains below:

dackdack[.]tech
dackdack[.]online
kuykuy[.]bit

At the time of our investigation, the domains below resolved to the following IP address:

142.44.188[.]42
dackdack[.]club
eaxsess[.]cat
kuxkux[.]bit
drdrfdd[.]cat

Closing thoughts

Although final attribution is impossible, the evidence strongly suggests that the campaign described here is similar to the ‘Matrix Banker’ campaign observed in March and June 2017 and might be a continuation of it.

The initial malware was concealing its file types by using different file extensions than their MIME type. More precisely, the use of ‘logo.gif’ has been seen in previous ‘Matrix Banker’ attacks.

There are 3,000 deployments of Darktrace’s AI technology across 70 countries, but all identified instances of this type of compromise are in Latin American organizations.

The ‘Matrix Bankers’ have used Catalan top-level domains in past attacks. In fact, some of the domains used previously are very similar to domains observed here. One domain seen in September was the exact same domain as seen in an earlier attack – just with an additional ‘s’ appended:

Example domains from March/June 2017

trtr44[.]cat
lalax[.]cat
eaxses[.]cat

Example domains from August/October 2017

drdrfdd[.]cat
kuxkux[.]bit
eaxsess[.]cat
kuykuy[.]bit
dackdack[.]tech

Although the domains appear to be randomly generated, a closer look reveals that the ‘Matrix Bankers’ seem to favor generating domain names by using keys that are physically close together on a keyboard, or by repeating phrases one might type in a hurry, when lacking creativity for naming a temporary download (e.g. asdasd.jpeg). We saw this pattern for domain name generation in the March - June ‘Matrix Bankers’ campaign as well as here.

Darktrace’s AI technology was able to detect these stealthy and sophisticated attacks because the way in which they manifest themselves represents a sharp deviation from the normal ‘pattern of life’ within an organization. The threat actors applied a number of techniques to blend into the normal noise of networks, but the self-learning algorithms were quick in detecting the anomalous behavior automatically and in real time.

Footnotes

List of IoCs

dackdack[.]club
dackdack[.]tech
dackdack[.]online
eaxsess[.]cat
kuxkux[.]bit
kuykuy[.]bit
drdrfdd[.]cat
inseltech.com[.]mx
gorrasbaratas.com[.]mx
142.44.188[.]42

[1] VirusTotal analysis of this file
[2] SHA-1: 88f3bdc84908c1fb844b337c535eef2d2b31e1dc
[3] VirusTotal analysis of this file
[4] VirusTotal analysis of this file

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
Max Heinemeyer
Global Field CISO

Max is a cyber security expert with over a decade of experience in the field, specializing in a wide range of areas such as Penetration Testing, Red-Teaming, SIEM and SOC consulting and hunting Advanced Persistent Threat (APT) groups. At Darktrace, Max is closely involved with Darktrace’s strategic customers & prospects. He works with the R&D team at Darktrace, shaping research into new AI innovations and their various defensive and offensive applications. Max’s insights are regularly featured in international media outlets such as the BBC, Forbes and WIRED. Max holds an MSc from the University of Duisburg-Essen and a BSc from the Cooperative State University Stuttgart in International Business Information Systems.

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April 2, 2025

Fusing Vulnerability and Threat Data: Enhancing the Depth of Attack Analysis

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Cado Security, recently acquired by Darktrace, is excited to announce a significant enhancement to its data collection capabilities, with the addition of a vulnerability discovery feature for Linux-based cloud resources. According to Darktrace’s Annual Threat Report 2024, the most significant campaigns observed in 2024 involved the ongoing exploitation of significant vulnerabilities in internet-facing systems. Cado’s new vulnerability discovery capability further deepens its ability to provide extensive context to security teams, enabling them to make informed decisions about threats, faster than ever.

Deep context to accelerate understanding and remediation

Context is critical when understanding the circumstances surrounding a threat. It can also take many forms – alert data, telemetry, file content, business context (for example asset criticality, core function of the resource), and risk context, such as open vulnerabilities.

When performing an investigation, it is common practice to understand the risk profile of the resource impacted, specifically determining open vulnerabilities and how they may relate to the threat. For example, if an analyst is triaging an alert related to an internet-facing Webserver running Apache, it would greatly benefit the analyst to understand open vulnerabilities in the Apache version that is running, if any of them are exploitable, whether a fix is available, etc. This dataset also serves as an invaluable source when developing a remediation plan, identifying specific vulnerabilities to be prioritised for patching.

Data acquisition in Cado

Cado is the only platform with the ability to perform full forensic captures as well as utilize instant triage collection methods, which is why fusing host-based artifact data with vulnerability data is such an exciting and compelling development.

The vulnerability discovery feature can be run as part of an acquisition – full or triage – as well as independently using a fast ‘Scan only’ mode.

Figure 1: A fast vulnerability scan being performed on the acquired evidence

Once the acquisition has completed, the user will have access to a ‘Vulnerabilities’ table within their investigation, where they are able to view and filter open vulnerabilities (by Severity, CVE ID, Resource, and other properties), as well as pivot to the full Event Timeline. In the Event Timeline, the user will be able to identify whether there is any malicious, suspicious or other interesting activity surrounding the vulnerable package, given the unified timeline presents a complete chronological dataset of all evidence and context collected.

Figure 2: Vulnerabilities discovered on the acquired evidence
Figure 3: Pivot from the Vulnerabilities table to the Event Timeline provides an in-depth view of file and process data associated with the vulnerable package selected. In this example, Apache2.

Future work

In the coming months, we’ll be releasing initial versions of highly anticipated integrations between Cado and Darktrace, including the ability to ingest Darktrace / CLOUD alerts which will automatically trigger a forensic capture (as well as a vulnerability discovery) of the impacted assets.

To learn more about how Cado and Darktrace will combine forces, request a demo today.

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About the author
Paul Bottomley
Director of Product Management, Cado

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March 28, 2025

Darktrace Recognized as the Only Visionary in the 2025 Gartner® Magic Quadrant™ for CPS Protection Platforms

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We are thrilled to announce that Darktrace has been named the only Visionary in the inaugural Gartner® Magic Quadrant™ for Cyber-Physical Systems (CPS) Protection Platforms. We feel This recognition highlights Darktrace’s AI-driven approach to securing industrial environments, where conventional security solutions struggle to keep pace with increasing cyber threats.

A milestone for CPS security

It's our opinion that the first-ever Gartner Magic Quadrant for CPS Protection Platforms reflects a growing industry shift toward purpose-built security solutions for critical infrastructure. As organizations integrate IT, OT, and cloud-connected systems, the cyber risk landscape continues to expand. Gartner evaluated 17 vendors based on their Ability to Execute and Completeness of Vision, establishing a benchmark for security leaders looking to enhance cyber resilience in industrial environments.

We believe the Gartner recognition of Darktrace as the only Visionary reaffirms the platform’s ability to proactively defend against cyber risks through AI-driven anomaly detection, autonomous response, and risk-based security strategies. With increasingly sophisticated attacks targeting industrial control systems, organizations need a solution that continuously evolves to defend against both known and unknown threats.

AI-driven security for CPS environments

Securing CPS environments requires an approach that adapts to the dynamic nature of industrial operations. Traditional security tools rely on static signatures and predefined rules, leaving gaps in protection against novel and sophisticated threats. Darktrace / OT takes a different approach, leveraging Self-Learning AI to detect and neutralize threats in real time, even in air-gapped or highly regulated environments.

Darktrace / OT continuously analyzes network behaviors to establish a deep understanding of what is “normal” for each industrial environment. This enables it to autonomously identify deviations that signal potential cyber threats, providing early warning and proactive defense before attacks can disrupt operations. Unlike rule-based security models that require constant manual updates, Darktrace / OT improves with the environment, ensuring long-term resilience against emerging cyber risks.

Bridging the IT-OT security gap

A major challenge for organizations protecting CPS environments is the disconnect between IT and OT security. While IT security has traditionally focused on data

protection and compliance, OT security is driven by operational uptime and safety, leading to siloed security programs that leave critical gaps in visibility and response.

Darktrace / OT eliminates these silos by providing unified visibility across IT, OT, and IoT assets, ensuring that security teams have a complete picture of their attack surface. Its AI-driven approach enables cross-domain threat detection, recognizing risks that move laterally between IT and OT environments. By seamlessly integrating with existing security architectures, Darktrace / OT helps organizations close security gaps without disrupting industrial processes.

Proactive OT risk management and resilience

Beyond detection and response, Darktrace / OT strengthens organizations’ ability to manage cyber risk proactively. By mapping vulnerabilities to real-world attack paths, it prioritizes remediation actions based on actual exploitability and business impact, rather than relying on isolated CVE scores. This risk-based approach enables security teams to focus resources where they matter most, reducing overall exposure to cyber threats.

With autonomous threat response capabilities, Darktrace / OT not only identifies risks but also contains them in real time, preventing attackers from escalating intrusions. Whether mitigating ransomware, insider threats, or sophisticated nation-state attacks, Darktrace / OT ensures that industrial environments remain secure, operational, and resilient, no matter how threats evolve.

AI-powered incident response and SOC automation

Security teams are facing an overwhelming volume of alerts, making it difficult to prioritize threats and respond effectively. Darktrace / OT’s Cyber AI Analyst acts as a force multiplier for security teams by automating threat investigation, alert triage, and response actions. By mimicking the workflow of a human SOC analyst, Cyber AI Analyst provides contextual insights that accelerate incident response and reduce the manual workload on security teams.

With 24/7 autonomous monitoring, Darktrace / OT ensures that threats are continuously detected and investigated in real time. Whether facing ransomware, insider threats, or sophisticated nation-state attacks, organizations can rely on AI-driven security to contain threats before they disrupt operations.

Trusted by customers: Darktrace / OT recognized in Gartner Peer Insights

Source: Gartner Peer Insights (Oct 28th)

Beyond our recognition in the Gartner Magic Quadrant, we feel Darktrace / OT is one of the highest-rated CPS security solutions on Gartner Peer Insights, reflecting strong customer trust and validation. With a 4.9/5 overall rating and the highest "Willingness to Recommend" score among CPS vendors, organizations across critical infrastructure and industrial sectors recognize the impact of our AI-driven security approach. Source: Gartner Peer Insights (Oct 28th)

This strong customer endorsement underscores why leading enterprises trust Darktrace / OT to secure their CPS environments today and in the future.

Redefining the future of CPS security

It's our view that Darktrace’s recognition as the only Visionary in the Gartner Magic Quadrant for CPS Protection Platforms validates its leadership in next-generation industrial security. As cyber threats targeting critical infrastructure continue to rise, organizations must adopt AI-driven security solutions that can adapt, respond, and mitigate risks in real time.

We believe this recognition reinforces our commitment to innovation and our mission to secure the world’s most essential systems. This recognition reinforces our commitment to innovation and our mission to secure the world’s most essential systems.

® Download the full Gartner Magic Quadrant for CPS Protection Platforms

® Request a demo to see Darktrace OT in action.

Gartner, Magic Quadrant for CPS Protection Platforms , Katell Thielemann, Wam Voster, Ruggero Contu 12 February 2025

Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

GARTNER is a registered trademark and service mark of Gartner and Magic Quadrant and Peer Insights are a registered trademark, of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences with the vendors listed on the platform, 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.

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About the author
Pallavi Singh
Product Marketing Manager, OT Security & Compliance
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