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May 9, 2021

Securing Networks After SolarWinds Breach

Uncover strategies to protect your business after SolarWinds with Darktrace. Get actionable insights for enhanced 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
Benny Yazdanpanahi
Chief Information Officer, City of Tyler
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09
May 2021

Insights from City of Tyler CIO Benny Yazdanpanahi, who keeps several Texas cities safe in the rapidly evolving and unpredictable threat landscape of today’s world.

The City of Tyler is the largest city in Northwest Texas, with a population of more than 100,000, and home to several major financial, health, and educational institutions. As such, it is an attractive target for cyber-criminals.

Although we were not a full SolarWinds customer, the recent breach illuminated the fundamental flaws in a rules and signatures based security approach. Cyber security must be adaptive for you to mitigate ever-present risk. As IT professionals, I believe we have a responsibility to educate business leaders – and ultimately the SolarWinds attack should serve a wakeup call to all organizations, no matter what providers they use, to reevaluate and strategize security beyond signature-based tooling. Cities must protect constituents from threats that are impossible to predict, often on small budgets and with lean teams. Here is how we do it.

Cyber AI as the key layer to an organization’s security

In order to protect your organization, you have to understand your entire digital enterprise. You have to understand what is happening within your infrastructure. If someone is uploading videos all the time and that is normal, my security technology needs to understand that. Robust security must know that if something comes from a certain resource, in a certain way, then it is okay in that context. But if these parameters subtly shift, it might be an indicator of an active threat. This is where Cyber AI becomes critical – it looks at human and enterprise behavior, and learns and grows with the organization. When something is anomalous, it does that threat investigation and response automatically. And importantly – it’s not black and white.

We originally turned to AI because heuristic tools were limiting. Most security vulnerability comes from people’s behaviors. Although we train our staff about phishing and other vulnerabilities, having an intelligent security solution is necessary. AI has become popular, but Darktrace Cyber AI truly self-learns all the subtleties of our evolving digital infrastructure.

In our Proof of Value with Darktrace Cyber AI, it actually showed us information we didn’t see before with our existing tools, and this proved to be information that was critical to monitor to stay ahead of unseen threats. Armed with Darktrace, we now know what is happening across all our environments, down to if a new device is on the network that isn’t a part of our IT. If anything is deemed a significant deviation from the normal, it is flagged immediately. This is the power of Darktrace’s machine learning. It learns the DNA of your organization and allows you to see what is most pertinent. This is a crucial and necessary ability for every organization. You can buy all kinds of products, but you must understand your network to know which threats you need to pay most attention to.

Being proactive: Fighting threats with AI

At the City of Tyler, we believe that security is layered. It is not enough to just have a firewall. You have to be proactive and have multiple layers. You have to do the basics, like patching software and educating the workforce – but all of this is just one layer of security. What Darktrace does which makes it stand out from the pack, is that it gives us the ability to react and fight back with Autonomous Response. This is critical when working to mitigate risk.

Antigena Email scrubs our email, seamlessly complementing our existing tools and strategy. The AI actually looks at the way people write emails and knows if their style is different. Antigena Email learns the human behind the accounts on City of Tyler’s infrastructure, using Darktrace’s Cyber AI to learn a unique sense of ‘self’ for the city’s email communications. By understanding what is ‘normal’ for every internal user, external sender, and all the complex relationships between them, Antigena Email neutralizes threats before they even reach the city’s users. It is the only tool that intelligently actions threats in the inbox in this way.

Antigena Network provides this proactive protection to the entire infrastructure, no matter the environment. As our employees moved to remote working, understanding what is normal across contexts has been imperative to our cyber strategy. We have a 24-hour staff rotation and I like to be a hands-on CIO, but Antigena, a solution that actually acts on all the information we have, is crucial in securing our city day in and day out. It is our on-going goal to be proactive about threats – Antigena drives this forward.

Stronger security with collaboration

Municipalities generally don’t have large budgets for cyber security, and small cities may have the purchasing power to buy only a few products. With AI achieving so much in one solution, an organization can do a lot with a single technology, as opposed to piling on tools meant to mitigate particular known risks.

We work with other cities, and share our best practices, because we don’t operate on an island by ourselves. We live in a community, and IT is often the catalyst for collaboration. Other smaller cities might not have as many resources, but sharing our use cases and what we think works can help our sister cities. This community collaboration is how we can help. It makes everyone safer.

We are uniquely fortunate in that before the pandemic even happened, most of our staff were already educated on how to use remote working tools. We were always thinking about how we could make the office seamless, but in today’s world, it is becoming imperative to embrace dynamic collaboration. Many organizations are rapidly innovating to be effective whilst remote, and it has opened up a lot of new vulnerabilities very quickly. Cyber AI is perfectly positioned to support this given it is fundamentally adaptable. From virtual deployment to expert SOC handling from a mobile app, Cyber AI is the solution to secure major infrastructure shifts. With the Darktrace Mobile App, I have been able to monitor and protect the organization from anywhere and see what I need to see at the touch of a button.

I have been here for 19 years educating city leaders about new technologies. I believe cyber security resilience comes from three points: people, process, and technology. AI allows these three to work together in combination. With full visibility, you can pinpoint vulnerabilities before they are breached, whether they originate from the people, the process, or the technology. With the ability to respond to threats autonomously, you have a built-in process layer to protect your infrastructure when it counts the most.

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
Benny Yazdanpanahi
Chief Information Officer, City of Tyler

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November 13, 2025

Unmasking Vo1d: Inside Darktrace’s Botnet Detection

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What is vo1d APK malware?

Vo1d malware first appeared in the wild in September 2024 and has since evolved into one of the most widespread Android botnets ever observed. This large-scale Android malware primarily targets smart TVs and low-cost Android TV boxes. Initially, Vo1d was identified as a malicious backdoor capable of installing additional third-party software [1]. Its functionality soon expanded beyond the initial infection to include deploying further malicious payloads, running proxy services, and conducting ad fraud operations. By early 2025, it was estimated that Vo1d had infected 1.3 to 1.6 million devices worldwide [2].

From a technical perspective, Vo1d embeds components into system storage to enable itself to download and execute new modules at any time. External researchers further discovered that Vo1d uses Domain Generation Algorithms (DGAs) to create new command-and-control (C2) domains, ensuring that regardless of existing servers being taken down, the malware can quickly reconnect to new ones. Previous published analysis identified dozens of C2 domains and hundreds of DGA seeds, along with new downloader families. Over time, Vo1d has grown increasingly sophisticated with clear signs of stronger obfuscation and encryption methods designed to evade detection [2].

Darktrace’s coverage

Earlier this year, Darktrace observed a surge in Vo1d-related activity across customer environments, with the majority of affected customers based in South Africa. Devices that had been quietly operating as expected began exhibiting unusual network behavior, including excessive DNS lookups. Open-source intelligence (OSINT) has long highlighted South Africa as one of the countries most impacted by Vo1d infections [2].

What makes the recent activity particularly interesting is that the surge observed by Darktrace appears to be concentrated specifically in South African environments. This localized spike suggests that a significant number of devices may have been compromised, potentially due to vulnerable software, outdated firmware, or even preloaded malware. Regions with high prevalence of low-cost, often unpatched devices are especially susceptible, as these everyday consumer electronics can be quietly recruited into the botnet’s network. This specifically appears to be the case with South Africa, where public reporting has documented widespread use of low-cost boxes, such as non-Google-certified Android TV sticks, that frequently ship with outdated firmware [3].

The initial triage highlighted the core mechanism Vo1d uses to remain resilient: its use of DGA. A DGA deterministically creates a large list of pseudo-random domain names on a predictable schedule. This enables the malware to compute hundreds of candidate domains using the same algorithm, instead of using a hard-coded single C2 hostname that defenders could easily block or take down. To ensure reproducible from the infected device’s perspective, Vo1d utilizes DGA seeds. These seeds might be a static string, a numeric value, or a combination of underlying techniques that enable infected devices to generate the same list of candidate domains for a time window, provided the same DGA code, seed, and date are used.

Interestingly, Vo1d’s DGA seeds do not appear to be entirely unpredictable, and the generated domains lack fully random-looking endings. As observed in Figure 1, there is a clear pattern in the names generated. In this case, researchers identified that while the first five characters would change to create the desired list of domain names, the trailing portion remained consistent as part of the seed: 60b33d7929a, which OSINT sources have linked to the Vo1d botnet. [2]. Darktrace’s Threat Research team also identified a potential second DGA seed, with devices in some cases also engaging in activity involving hostnames matching the regular expression /[a-z]{5}fc975904fc9\.(com|top|net). This second seed has not been reported by any OSINT vendors at the time of writing.

Another recurring characteristic observed across multiple cases was the choice of top-level domains (TLDs), which included .com, .net, and .top.

Figure 1: Advanced Search results showing DNS lookups, providing a glimpse on the DGA seed utilized.

The activity was detected by multiple models in Darktrace / NETWORK, which triggered on devices making an unusually large volume of DNS requests for domains uncommon across the network.

During the network investigation, Darktrace analysts traced Vo1d’s infrastructure and uncovered an interesting pattern related to responder ASNs. A significant number of connections pointed to AS16509 (AMAZON-02). By hosting redirectors or C2 nodes inside major cloud environments, Vo1d is able to gain access to highly available and geographically diverse infrastructure. When one node is taken down or reported, operators can quickly enable a new node under a different IP within the same ASN. Another feature of cloud infrastructure that hardens Vo1d’s resilience is the fact that many organizations allow outbound connections to cloud IP ranges by default, assuming they are legitimate. Despite this, Darktrace was able to identify the rarity of these endpoints, identifying the unusualness of the activity.

Analysts further observed that once a generated domain successfully resolved, infected devices consistently began establishing outbound connections to ephemeral port ranges like TCP ports 55520 and 55521. These destination ports are atypical for standard web or DNS traffic. Even though the choice of high-numbered ports appears random, it is likely far from not accidental. Commonly used ports such as port 80 (HTTP) or 443 (HTTPS) are often subject to more scrutiny and deeper inspection or content filtering, making them riskier for attackers. On the other hand, unregistered ports like 55520 and 55521 are less likely to be blocked, providing a more covert channel that blends with outbound TCP traffic. This tactic helps evade firewall rules that focus on common service ports. Regardless, Darktrace was able to identify external connections on uncommon ports to locations that the network does not normally visit.

The continuation of the described activity was identified by Darktrace’s Cyber AI Analyst, which correlated individual events into a broader interconnected incident. It began with the multiple DNS requests for the algorithmically generated domains, followed by repeated connections to rare endpoints later confirmed as attacker-controlled infrastructure. Cyber AI Analyst’s investigation further enabled it to categorize the events as part of the “established foothold” phase of the attack.

Figure 2: Cyber AI Analyst incident illustrating the transition from DNS requests for DGA domains to connections with resolved attacker-controlled infrastructure.

Conclusion

The observations highlighted in this blog highlight the precision and scale of Vo1d’s operations, ranging from its DGA-generated domains to its covert use of high-numbered ports. The surge in affected South African environments illustrate how regions with many low-cost, often unpatched devices can become major hubs for botnet activity. This serves as a reminder that even everyday consumer electronics can play a role in cybercrime, emphasizing the need for vigilance and proactive security measures.

Credit to Christina Kreza (Cyber Analyst & Team Lead) and Eugene Chua (Principal Cyber Analyst & Team Lead)

Edited by Ryan Traill (Analyst Content Lead)

Appendices

Darktrace Model Detections

  • Anomalous Connection / Devices Beaconing to New Rare IP
  • Anomalous Connection / Multiple Connections to New External TCP Port
  • Anomalous Connection / Multiple Failed Connections to Rare Endpoint
  • Compromise / DGA Beacon
  • Compromise / Domain Fluxing
  • Compromise / Fast Beaconing to DGA
  • Unusual Activity / Unusual External Activity

List of Indicators of Compromise (IoCs)

  • 3.132.75[.]97 – IP address – Likely Vo1d C2 infrastructure
  • g[.]sxim[.]me – Hostname – Likely Vo1d C2 infrastructure
  • snakeers[.]com – Hostname – Likely Vo1d C2 infrastructure

Selected DGA IoCs

  • semhz60b33d7929a[.]com – Hostname – Possible Vo1d C2 DGA endpoint
  • ggqrb60b33d7929a[.]com – Hostname – Possible Vo1d C2 DGA endpoint
  • eusji60b33d7929a[.]com – Hostname – Possible Vo1d C2 DGA endpoint
  • uacfc60b33d7929a[.]com – Hostname – Possible Vo1d C2 DGA endpoint
  • qilqxfc975904fc9[.]top – Hostname – Possible Vo1d C2 DGA endpoint

MITRE ATT&CK Mapping

  • T1071.004 – Command and Control – DNS
  • T1568.002 – Command and Control – Domain Generation Algorithms
  • T1568.001 – Command and Control – Fast Flux DNS
  • T1571 – Command and Control – Non-Standard Port

[1] https://news.drweb.com/show/?lng=en&i=14900

[2] https://blog.xlab.qianxin.com/long-live-the-vo1d_botnet/

[3] https://mybroadband.co.za/news/broadcasting/596007-warning-for-south-africans-using-specific-types-of-tv-sticks.html

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About the author
Christina Kreza
Cyber Analyst

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November 6, 2025

Darktrace Named the Only 2025 Gartner® Peer Insights™ Customers’ Choice for Network Detection and Response

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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.

Discover why customers choose Darktrace for network and email security.

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

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About the author
Mikey Anderson
Product Marketing Manager, Network Detection & Response
Your data. Our AI.
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