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June 6, 2022

Unraveling Disinformation Tactics in Uncertain Times

Learn how Darktrace AI is combating disinformation! Learn more about the impact of disinformation and how Darktrace tackles this pressing issue.
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
Taisiia Garkava
Security Analyst
Written by
Justin Frank
Security Analyst
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06
Jun 2022

Since the beginning of the internet, we have seen a near, if not an exponential, surge of information sharing amongst users in cyberspace. Not long after, we saw how the emergence of social media ushered an access to public online platforms where other internet users worldwide could share, discuss, promote, and consume information, whether by deliberate choice or not.

These platforms, which are now wealthy in users, enabled the effectual sharing of a wide range of information and has facilitated the emergence of online communities, forums, webpages, and blogs - where everyone could create content and share it with other users leading to near infinite number of sources.

Public and private organisations have been able to leverage these platforms to communicate directly with the public, share relevant knowledge with their audiences, and expand users’ exposure to their organisation’s online presence – often by providing the users a direct link to websites and domains containing supplementary information on their organisations. However, there are some issues that organisations and users face when using such platforms.

Misinformation vs Disinformation

The ever-growing catalogue of informational sources and contributing users has introduced an old challenge with a more complex twist: distinguishing which information is truth and which is not. Two terms are used to describe inaccurate information – misinformation and disinformation.

Misinformation is “false information that is spread, regardless of whether there is intent or mislead”. For example, someone can read a compelling story on social media and share it with others without checking whether this story is, in fact, true.

During the COVID-19 pandemic, many people were rightfully concerned and anxious about their health, so they wanted to inform themselves as much as possible on the looming health risk. However, when they went looking for answers – they were overloaded with varying opinions and ‘fake facts’ that it became increasingly difficult to distinguish true facts from fiction.

Subsequently, at times a social media post - or two - that contained false information was shared by a friend, relative, or acquaintance who initially had good intentions in sharing what they had learned, but unfortunately, they were misinformed.

Disinformation instead means “deliberately misleading or biased information; manipulated narrative or facts; propaganda”, which can be interpreted as the intentional spreading of misinformation.

The main difference between misinformation and disinformation is the presence of clear intent in the latter. For example, during political conflict – or even wars – it is not uncommon for one, or both, opposing parties to broadcast news narratives to their own domestic audiences in the way that portrays them as either the righteous liberator or the unsuspecting victim.

Disinformation and Geopolitics

During turbulent times – such as (geo)political conflicts, national strife, digital revolutions, and pandemics – one can see the prevalence of massive disinformation campaigns being arranged by nation-state actors, independent threat actors and other ideologically driven actors. The likes of such campaigns are targeting businesses, governments, and individuals alike.

One of the most common channels used to spread disinformation would be social media platforms. In essence, any piece of information shared on social media can spread rapidly to all kinds of audiences across the globe. This is amplified by maliciously motivated actors’ use of “bots” to speed up the momentum of which disinformation is spread.

A bot is a “computer program that operates as an agent for a user or other program to stimulate a human activity. It is used to perform specific tasks repeatedly and autonomously. There is a plethora of these bots actively used to spread disinformation throughout the most popular social platforms including Facebook, Twitter and Instagram.

Impact of Disinformation on Organizations

When organisations are targeted by disinformation campaigns, malicious actors aim to leverage the discord and uncertainty on topics that are shrouded in controversy. Malicious actors like online scammers aim to exploit this induced discord by e.g., creating phishing emails that are more compelling to recipients – who are just trying to navigate between what is real and not real.

For example, a campaign stating that data held by a big telecommunication company was breached is used to craft emails in which scammers would prompt the recipients to check whether their personal data was also affected by this ‘breach’.

Regardless of whether this information is correct or not, the flux of news floating around the internet makes it increasingly difficult for a person to decide whether this information is accurate.

In parallel, the recipient may be experiencing feelings of anxiety and uncertainty regarding the breach – and the news about the breach – which often affects the recipients' decision to immediately react to new information on the topic. Since scammers use domains that are carefully crafted to seem legitimate to an untrained eye – e.g., domains containing near uncanny resemblance to the official organisation’s domain – it further increases the recipient’s susceptibility to trusting dubious sources. Thus, increasing the likelihood that recipients of phishing emails would be more compelled to e.g., click on a link attached to an email to verify whether their data was also leaked, or not.

The Future of Disinformation

Organisations who are already dealing with the social strains created by disinformation campaigns are now facing an additional risk: their audiences may be more susceptible to phishing campaigns in times of widespread uncertainty. To make a convincing phishing campaign, malign actors often use compromised domains, or attempt to mimic legitimate domains through a method called ‘typo squatting’.

Typo squatting is the act of registering domains with intentionally misspelled names of popular or official web presences and often filling these with untrustworthy content – to give their victims a false sense of legitimacy surrounding the source.

Once this false sense of legitimacy has been established between the attacker’s source and the victim’s susceptibility in trusting that source, it will be nearly entirely up to the victim to avoid being misled. Consequently, this means the attack surface of an organisation is growing as fast as disinformation and false domains can be created and shared to its audience.

Combatting Disinformation with Attack Surface Management

Organisations trying to protect their audiences from being misled by false domains will need get better visibility on domains associated with their brand. A brand-centric approach to discovering domains can shine light on:

  • The state of existing domains that are currently managed by your organisation – if they are being well maintained and properly secured.
  • The influx of ‘new’ domains that are attempting to impersonate your organisation’s brand.

Visibility on these types of domains and how your audience often interact with these domains enables an organisation to be more vigilant and responsive to the malign actors attempting to manipulate, hijack or impersonate your brand. Since an organisation’s brand pervades all sorts of publicly accessible assets – like domains – it has become of significant importance to include them in your organisation’s attack surface management regimen. Utilising a brand-centric approach to attack surface management will give your organisation a clearer view of your attack surface from a reputation risk perspective.

An attack surface management solution bolstered by such an approach will help your organisation’s security team to efficiently determine which domains – or other external facing digital assets – are posing a risk to your audience and reputation. It will help remove the repetitive work needed to identify these domains (and other assets), detect the risks associated with them, and help you manage any changes or actions required to protect both your audience and your organisation.

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
Taisiia Garkava
Security Analyst
Written by
Justin Frank
Security Analyst

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November 14, 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

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.

Nothing in this blog constitutes legal, technical, or professional advice, and readers should consult qualified professionals before acting on any information contained herein. Any references to third-party organizations, technologies, threat actors, or incidents are for informational purposes only and do not imply affiliation, endorsement, or recommendation.

Darktrace, its affiliates, employees, or agents shall not be held liable for any loss, damage, or harm arising from the use of or reliance on the information in this blog.

The cybersecurity landscape evolves rapidly, and blog content may become outdated or superseded. We reserve the right to update, modify, or remove any content.

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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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Mikey Anderson
Product Marketing Manager, Network Detection & Response
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