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July 4, 2024

A Busy Agenda: Darktrace's Detection of Qilin Ransomware as a Service Operator

This blog breaks down how Darktrace detected and analyzed Qilin, a Ransomware-as-a-Service group behind recent high-impact attacks. You’ll see how Qilin affiliates customize attacks with flexible encryption, process termination, and double-extortion techniques, as well as why its cross-platform builds in Rust and Golang make it especially evasive. Darktrace highlights three real-world cases where its AI identified likely Qilin activity across customer environments, offering insights into how behavioral detection can spot novel ransomware before disruption occurs. Readers will gain a clear view of Qilin’s toolkit, tactics, and how self-learning defense adapts to these evolving threats.
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
Alexandra Sentenac
Cyber Analyst
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04
Jul 2024

What is Qilin Ransomware and what's its impact?

Qilin ransomware has recently dominated discussions across the cyber security landscape following its deployment in an attack on Synnovis, a UK-based medical laboratory company. The ransomware attack ultimately affected patient services at multiple National Health Service (NHS) hospitals that rely on Synnovis diagnostic and pathology services. Qilin’s origins, however, date back further to October 2022 when the group was observed seemingly posting leaked data from its first known victim on its Dedicated Leak Site (DLS) under the name Agenda[1].

The Darktrace Threat Research team investigated network artifacts related to Qilin and identified three probable cases of the ransomware across the Darktrace customer base between June 2022 and May 2024.

How Qilin Ransowmare Operates as RaaS

Qilin operates as a Ransomware-as-a-Service (RaaS) that employs double extortion tactics, whereby harvested data is exfiltrated and threatened of publication on the group's DLS, which is hosted on Tor. Qilin ransomware has samples written in both the Golang and Rust programming languages, making it compilable with various operating systems, and is highly customizable.

Techniques Qilin Ransomware uses to avoid detection

When building Qilin ransomware variants to be used on their target(s), affiliates can configure settings such as:

  • Encryption modes (skip-step, percent, or speed)
  • File extensions, directories, or processes to exclude
  • Unique company IDs used as extensions on encrypted files
  • Services or processes to terminate during execution [1] [2].
  • Trend Micro analysts, who were the first to discover Qilin samples in August 2022, when the name "Agenda" was still used in ransom notes, found that each analyzed sample was customized for the intended victims and that "unique company IDs were used as extensions of encrypted files" [3]. This information is configurable from within the Qilin's affiliate panel's 'Targets' section, shown below.

    Qilin's affiliate panel and branding

    The panel's background image features the eponym Chinese legendary chimerical creature Qilin (pronounced “Ke Lin”). Despite this Chinese mythology reference, Russian language was observed being used by a Qilin operator in an underground forum post aimed at hiring affiliates and advertising their RaaS operation[2].

    Figure 1: Qilin ransomware’s affiliate panel.

    Qilin’s affiliate payment model

    Qilin's RaaS program purportedly has an attractive affiliates' payment structure,

    • Affiliates earn 80% of ransom payments under USD 3 million
    • Affiliates earn 85% of ransom payments above USD 3 million [2]

    Publication of stolen data and ransom payment negotiations are purportedly handled by Qilin operators. Qilin affiliates have been known to target companies located around the world and within a variety of industries, including critical sectors such as healthcare and energy.

    Qilin target industries and victims

    As Qilin is a RaaS operation, the choice of targets does not necessarily reflect Qilin operators' intentions, but rather that of its affiliates.  

    Similarly, the tactics, techniques, procedures (TTPs) and indicators of compromise (IoC) identified by Darktrace are associated with the given affiliate deploying Qilin ransomware for their own purpose, rather than TTPs and IoCs of the Qilin group. Likewise, initial vectors of infection may vary from affiliate to affiliate.

    Previous studies show that initial access to networks were gained via spear phishing emails or by leveraging exposed applications and interfaces.

    Differences have been observed in terms of data exfiltration and potential C2 external endpoints, suggesting the below investigations are not all related to the same group or actor(s).

    [related-resource]

    Darktrace’s threat research investigation

    Qlin ransomware attack breakdown

    June 2022: Qilin ransomware attack exploiting VPN and SCCM servers

    Key findings:

    • Initial access: VPN and compromised admin account
    • Lateral movement: SCCM and VMware ESXi hosts
    • Malware observed: SystemBC, Tofsee
    • Ransom notes: Linked to Qilin naming conventions
    • Darktrace visibility: Analysts worked with customer via Ask the Expert (ATE) to expand coverage, revealing unusual scanning, rare external connections, and malware indicators tied to Qilin

    Full story:

    Darktrace first detected an instance of Qilin ransomware back in June 2022, when an attacker was observed successfully accessing a customer’s Virtual Private Network (VPN) and compromising an administrative account, before using RDP to gain access to the customer’s Microsoft System Center Configuration Manager (SCCM) server.

    From there, an attack against the customer's VMware ESXi hosts was launched. Fortunately, a reboot of their virtual machines (VM) caught the attention of the security team who further uncovered that custom profiles had been created and remote scripts executed to change root passwords on their VM hosts. Three accounts were found to have been compromised and three systems encrypted by ransomware.  

    Unfortunately, Darktrace was not configured to monitor the affected subnets at the time of the attack. Despite this, the customer was able to work directly with Darktrace analysts via the Ask the Expert (ATE) service to add the subnets in question to Darktrace’s visibility, allowing it to monitor for any further unusual behavior.

    Once visibility over the compromised SCCM server was established, Darktrace observed:

    • A series of unusual network scanning activities  
    • The use of Kali (a Linux distribution designed for digital forensics and penetration testing).
    • Connections to multiple rare external hosts. Many of which were using the “[.]ru” Top Level Domain (TLD).

    One of the external destinations the server was attempting to connect was found to be related to SystemBC, a malware that turns infected hosts into SOCKS5 proxy bots and provides command-and-control (C2) functionality.

    Additionally, the server was observed making external connections over ports 993 and 143 (typically associated with the use of the Interactive Message Access Protocol (IMAP) to multiple rare external endpoints. This was likely due to the presence of Tofsee malware on the device.

    After the compromise had been contained, Darktrace identified several ransom notes following the naming convention “README-RECOVER-<extension/company_id>.txt”” on the network. This naming convention, as well as the similar “<company_id>-RECOVER-README.txt” have been referenced by open-source intelligence (OSINT) providers as associated with Qilin ransom notes[5] [6] [7].

    April 2023: Manufacturing sector breach with large-scale exfiltration

    Key findings:

    • Initial access & movement: Extensive scanning and lateral movement via SMB, RDP, and WMI
    • Credential abuse: Use of default credentials (admin, administrator)
    • Malware/Indicators: Evidence of Cobalt Strike; suspicious WebDAV user agent and JA3 fingerprint
    • Data exfiltration: ~30 GB stolen via SSL to MEGA cloud storage
    • Darktrace analysis: Detected anomalous SMB and DCE-RPC traffic from domain controller, high-volume RDP activity, and rare external connectivity to IPs tied to command-and-control (C2). Confirmed ransom notes followed Qilin naming conventions.

    Full story:

    The next case of Qilin ransomware observed by Darktrace took place in April 2023 on the network of a customer in the manufacturing sector in APAC. Unfortunately for the customer in this instance, Darktrace's Autonomous Response was not active on their environment and no autonomous actions were taken to contain the compromise.

    Over the course of two days, Darktrace identified a wide range of malicious activity ranging from extensive initial scanning and lateral movement attempts to the writing of ransom notes that followed the aforementioned naming convention (i.e., “README-RECOVER-<extension/company_id>.txt”).

    Darktrace observed two affected devices attempting to move laterally through the SMB, DCE-RPC and RDP network protocols. Default credentials (e.g., UserName, admin, administrator) were also observed in the large volumes of SMB sessions initiated by these devices. One of the target devices of these SMB connections was a domain controller, which was subsequently seen making suspicious WMI requests to multiple devices over DCE-RPC and enumerating SMB shares by binding to the ‘server service’ (srvsvc) named pipe to a high number of internal devices within a short time frame. The domain controller was further detected establishing an anomalously high number of connections to several internal devices, notably using the RDP administrative protocol via a default admin cookie.  

    Repeated connections over the HTTP and SSL protocol to multiple newly observed IPs located in the 184.168.123.0/24 range were observed, indicating C2 connectivity.  WebDAV user agent and a JA3 fingerprint potentially associated with Cobalt Strike were notably observed in these connections. A few hours later, Darktrace detected additional suspicious external connections, this time to IPs associated with the MEGA cloud storage solution. Storage solutions such as MEGA are often abused by attackers to host stolen data post exfiltration. In this case, the endpoints were all rare for the network, suggesting this solution was not commonly used by legitimate users. Around 30 GB of data was exfiltrated over the SSL protocol.

    Darktrace did not observe any encryption-related activity on this customer’s network, suggesting that encryption may have taken place locally or within network segments not monitored by Darktrace.

    May 2024: US enterprise compromise

    Key findings:

    • Initial access & movement: Abuse of administrative and default credentials; lateral movement via DCE-RPC and RDP
    • Malware/Indicators: Suspicious executables (‘a157496.exe’, ‘83b87b2.exe’); abuse of RPC service LSM_API_service
    • Data exfiltration: Large amount of data exfiltrated via FTP and other channels to rare external endpoint (194.165.16[.]13)
    • C2 communications: HTTP/SSL traffic linked to Cobalt Strike, including PowerShell request for sihost64.dll
    • Darktrace analysis: Flagged unusual SMB writes, malicious file transfers, and large-scale exfiltration as highly anomalous. Confirmed widespread encryption activity targeting numerous devices and shares.

    Full story:

    The most recent instance of Qilin observed by Darktrace took place in May 2024 and involved a customer in the US.

    In this case, Darktrace initially detected affected devices using unusual administrative and default credentials. Then Darktrace observed additional Internal systems conducting abnormal activity such as:

    • Making extensive suspicious DCE-RPC requests to a range of internal locations
    • Performing network scanning
    • Making unusual internal RDP connections
    • And transferring suspicious executable files like 'a157496.exe' and '83b87b2.exe'.  

    SMB writes of the file "LSM_API_service" were also observed, activity which was considered 100% unusual by Darktrace; this is an RPC service that can be abused to enumerate logged-in users and steal their tokens. Various repeated connections likely representative of C2 communications were detected via both HTTP and SSL to rare external endpoints linked in OSINT to Cobalt Strike use. During these connections, HTTP GET requests for the following URIs were observed:

    /asdffHTTPS

    /asdfgdf

    /asdfgHTTP

    /download/sihost64.dll

    Notably, this included a GET request a DLL file named "sihost64.dll" from a domain controller using PowerShell.  

    Over 102 GB of data may have been transferred to another previously unseen endpoint, 194.165.16[.]13, via the unencrypted File Transfer Protocol (FTP). Additionally, many non-FTP connections to the endpoint could be observed, over which more than 783 GB of data was exfiltrated. Regarding file encryption activity, a wide range of destination devices and shares were targeted.

    Figure 2: Advanced Search graph displaying the total volume of data transferred over FTP to a malicious IP.

    During investigations, Darktrace’s Threat Research team identified an additional customer, also based in the United States, where similar data exfiltration activity was observed in April 2024. Although no indications of ransomware encryption were detected on the network, multiple similarities were observed with the case discussed just prior. Notably, the same exfiltration IP and protocol (194.165.16[.]13 and FTP, respectively) were identified in both cases. Additional HTTP connectivity was further observed to another IP using a self-signed certificate (i.e., CN=ne[.]com,OU=key operations,O=1000,L=,ST=,C=KM) located within the same ASN (i.e., AS48721 Flyservers S.A.). Some of the URIs seen in the GET requests made to this endpoint were the same as identified in that same previous case.

    Information regarding another device also making repeated connections to the same IP was described in the second event of the same Cyber AI Analyst incident. Following this C2 connectivity, network scanning was observed from a compromised domain controller, followed by additional reconnaissance and lateral movement over the DCE-RPC and SMB protocols. Darktrace again observed SMB writes of the file "LSM_API_service", as in the previous case, activity which was also considered 100% unusual for the network. These similarities suggest the same actor or affiliate may have been responsible for activity observed, even though no encryption was observed in the latter case.

    Figure 3: First event of the Cyber AI Analyst investigation following the compromise activity.

    According to researchers at Microsoft, some of the IoCs observed on both affected accounts are associated with Pistachio Tempest, a threat actor reportedly associated with ransomware distribution. The Microsoft threat actor naming convention uses the term "tempest" to reference criminal organizations with motivations of financial gain that are not associated with high confidence to a known non-nation state or commercial entity. While Pistachio Tempest’s TTPs have changed over time, their key elements still involve ransomware, exfiltration, and extortion. Once they've gained access to an environment, Pistachio Tempest typically utilizes additional tools to complement their use of Cobalt Strike; this includes the use of the SystemBC RAT and the SliverC2 framework, respectively. It has also been reported that Pistacho Tempest has experimented with various RaaS offerings, which recently included Qilin ransomware[4].

    Conclusion

    Qilin is a RaaS group that has gained notoriety recently due to high-profile attacks perpetrated by its affiliates. Despite this, the group likely includes affiliates and actors who were previously associated with other ransomware groups. These individuals bring their own modus operandi and utilize both known and novel TTPs and IoCs that differ from one attack to another.

    Darktrace’s anomaly-based technology is inherently threat-agnostic, treating all RaaS variants equally regardless of the attackers’ tools and infrastructure. Deviations from a device’s ‘learned’ pattern of behavior during an attack enable Darktrace to detect and contain potentially disruptive ransomware attacks.

    [related-resource]

    Credit to: Alexandra Sentenac, Emma Foulger, Justin Torres, Min Kim, Signe Zaharka for their contributions.

    References

    [1] https://www.sentinelone.com/anthology/agenda-qilin/  

    [2] https://www.group-ib.com/blog/qilin-ransomware/

    [3] https://www.trendmicro.com/en_us/research/22/h/new-golang-ransomware-agenda-customizes-attacks.html

    [4] https://www.microsoft.com/en-us/security/security-insider/pistachio-tempest

    [5] https://www.trendmicro.com/en_us/research/22/h/new-golang-ransomware-agenda-customizes-attacks.html

    [6] https://www.bleepingcomputer.com/forums/t/790240/agenda-qilin-ransomware-id-random-10-char;-recover-readmetxt-support/

    [7] https://github.com/threatlabz/ransomware_notes/tree/main/qilin

    Darktrace Model Detections

    Internal Reconnaissance

    Device / Suspicious SMB Scanning Activity

    Device / Network Scan

    Device / RDP Scan

    Device / ICMP Address Scan

    Device / Suspicious Network Scan Activity

    Anomalous Connection / SMB Enumeration

    Device / New or Uncommon WMI Activity

    Device / Attack and Recon Tools

    Lateral Movement

    Device / SMB Session Brute Force (Admin)

    Device / Large Number of Model Breaches from Critical Network Device

    Device / Multiple Lateral Movement Model Breaches

    Anomalous Connection / Unusual Admin RDP Session

    Device / SMB Lateral Movement

    Compliance / SMB Drive Write

    Anomalous Connection / New or Uncommon Service Control

    Anomalous Connection / Anomalous DRSGetNCChanges Operation

    Anomalous Server Activity / Domain Controller Initiated to Client

    User / New Admin Credentials on Client

    C2 Communication

    Anomalous Server Activity / Outgoing from Server

    Anomalous Connection / Multiple Connections to New External TCP Port

    Anomalous Connection / Anomalous SSL without SNI to New External

    Anomalous Connection / Rare External SSL Self-Signed

    Device / Increased External Connectivity

    Unusual Activity / Unusual External Activity

    Compromise / New or Repeated to Unusual SSL Port

    Anomalous Connection / Multiple Failed Connections to Rare Endpoint

    Device / Suspicious Domain

    Device / Increased External Connectivity

    Compromise / Sustained SSL or HTTP Increase

    Compromise / Botnet C2 Behaviour

    Anomalous Connection / POST to PHP on New External Host

    Anomalous Connection / Multiple HTTP POSTs to Rare Hostname

    Anomalous File / EXE from Rare External Location

    Exfiltration

    Unusual Activity / Enhanced Unusual External Data Transfer

    Anomalous Connection / Data Sent to Rare Domain

    Unusual Activity / Unusual External Data Transfer

    Anomalous Connection / Uncommon 1 GiB Outbound

    Unusual Activity / Unusual External Data to New Endpoint

    Compliance / FTP / Unusual Outbound FTP

    File Encryption

    Compromise / Ransomware / Suspicious SMB Activity

    Anomalous Connection / Sustained MIME Type Conversion

    Anomalous File / Internal / Additional Extension Appended to SMB File

    Compromise / Ransomware / Possible Ransom Note Write

    Compromise / Ransomware / Possible Ransom Note Read

    Anomalous Connection / Suspicious Read Write Ratio

    IoC List

    IoC – Type – Description + Confidence

    93.115.25[.]139 IP C2 Server, likely associated with SystemBC

    194.165.16[.]13 IP Probable Exfiltration Server

    91.238.181[.]230 IP C2 Server, likely associated with Cobalt Strike

    ikea0[.]com Hostname C2 Server, likely associated with Cobalt Strike

    lebondogicoin[.]com Hostname C2 Server, likely associated with Cobalt Strike

    184.168.123[.]220 IP Possible C2 Infrastructure

    184.168.123[.]219 IP Possible C2 Infrastructure

    184.168.123[.]236 IP Possible C2 Infrastructure

    184.168.123[.]241 IP Possible C2 Infrastructure

    184.168.123[.]247 IP Possible C2 Infrastructure

    184.168.123[.]251 IP Possible C2 Infrastructure

    184.168.123[.]252 IP Possible C2 Infrastructure

    184.168.123[.]229 IP Possible C2 Infrastructure

    184.168.123[.]246 IP Possible C2 Infrastructure

    184.168.123[.]230 IP Possible C2 Infrastructure

    gfs440n010.userstorage.me ga.co[.]nz Hostname Possible Exfiltration Server. Not inherently malicious; associated with MEGA file storage.

    gfs440n010.userstorage.me ga.co[.]nz Hostname Possible Exfiltration Server. Not inherently malicious; associated with MEGA file storage.

    Get the latest insights on emerging cyber threats

    This report explores the latest trends shaping the cybersecurity landscape and what defenders need to know in 2025

    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
    Alexandra Sentenac
    Cyber Analyst

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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

    Continue reading
    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.

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    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.
    Elevate your network security with Darktrace AI