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Security Independently confirmed2 publishers 3 min read Published Updated

UAT-10147 runs public exploits through an AI pipeline, and old CVEs are still the door

Cisco Talos says a Chinese-speaking crew paired PentestGPT and DeepAudit with Metasploit and a 170,000-URL target list to compromise web servers at scale. Every entry flaw named is years old.

The Watch · Security desk

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Illustration accompanying UAT-10147 runs public exploits through an AI pipeline, and old CVEs are still the door
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What happened

  • Cisco Talos, in a two-part report, details a Chinese-speaking crew it calls UAT-10147 hitting Windows and Linux web servers in education, media, technology and gaming.
  • Its toolkit mixes Metasploit and ysoserial with PentestGPT and DeepAudit plus privilege escalation exploits, used to automate intrusion and persistence.
  • An open directory exposed a target list of roughly 170,000 URLs, split into 17 files of about 10,000 for faster parsing.
  • On Windows, EfsPotato elevates, Quasar RAT persists via a scheduled task named "Google Chrome Start", and BadIIS and Gh0stCringe follow.
  • On Linux, known local privilege escalation bugs get root, then Noodle RAT, SPECTRE and Meterpreter call out to command-and-control.

Why it matters

  • What it limits constraint Every entry flaw named is public and years old, so the defensive variable is how long an exposed server stays unpatched, not how clever the implant is.
  • Who's exposed exposure Organisations that treated a public IIS or web box as low-value now own a host where Defender exclusions were set and payloads deleted before the implants arrived.
  • What doesn't add up contradiction The victim concentration and the target list share no countries, so which set you read decides whether you think you are in scope at all.
  • What it sets up precedent Because the BadIIS variant is rented under a service model across multiple crews, indicator overlap will keep producing shared detections that cannot separate one actor from another.

The interesting part of the Talos account is not the implant, it is the throughput. The AI tooling is doing clerical labour: refining exploits, troubleshooting logic, validating that an exploit actually landed, automating post-exploitation, and generating operational documentation [2]. None of that is a new capability. All of it is the part of mass exploitation that historically needed a human, which is why campaigns against internet-facing servers usually run out of operator attention long before they run out of vulnerable hosts.

The infrastructure choice fits that reading. Talos researcher Joey Chen says exfiltrated data was routed to a legitimate cloud-based configuration management service so the traffic blends with normal administrative operations [21], and describes the setup as an asynchronous exfiltration sink the operators poll to confirm exploitation across victims without maintaining reverse shells or inbound connections [22]. Pair that with a 170,000-URL list chopped into 17 files of roughly 10,000 [5], which is arithmetically exact [23], and the shape is a job queue with workers, not a person with a terminal.

Then there is the geography, which does not line up. The heaviest observed victim concentration is Brazil, Bolivia, China, Canada and Vietnam [10]. The top five destinations on the actor's own target list are the United States, India, the United Kingdom, Germany and the Netherlands [13]. Zero countries appear in both sets [24]. Anyone in the second group reading the first group as a threat profile is reading the wrong column.

On the entry side, nothing here needed research. The named weaponised flaws are in Zimbra, AjaxPro, Telerik UI for ASP.NET AJAX and Alibaba Nacos [20], with assignment years between 2019 and 2022 [26]. The Linux privilege escalation set reaches back further, from CVE-2022-0995 to CVE-2010-3904, a twelve-year span with nothing newer than 2022 [19][25]. Talos's own summary is blunt about it: publicly disclosed vulnerabilities, used to gain initial access at scale [4]. Patch latency on exposed servers is the variable the attacker is exploiting, and it is now being consumed by an automated pipeline rather than a queue of humans.

Two cautions on the detection side. On Windows, EfsPotato is used to elevate and then configure Microsoft Defender exclusions [15], and the initial payloads are deleted afterwards [16], so quiet endpoint telemetry from one of these hosts is not evidence of anything. And the BadIIS component is the same variant sold under a malware-as-a-service model and used by multiple Chinese-speaking crews [18], which means a BadIIS hit tells you which shop supplied the module, not which crew is in your server.

Finally, the thin part. The report's own framing puts an EDR bypass in SPECTRE and a Linux rootkit in the chain [9], but what is actually described in the available summary is the Defender exclusion route [15] and a spread of post-root implants including Noodle RAT, SPECTRE and Meterpreter calling out to C2 [8]. The bypass mechanism and the rootkit sit in parts of the two-part report not reproduced here [3].

What to watch

  • Whether the second part of the Talos report publishes SPECTRE samples, the EDR bypass mechanism and rootkit detection surface, which is what would let defenders test rather than assume.
  • Whether compromises start appearing in the U.S., India, U.K., Germany and the Netherlands, which would flip the victim geography from the observed set to the target list.
  • Whether the BadIIS malware-as-a-service supplier is named separately, which would force attribution to split between the tooling vendor and the crews renting it.

Clarity's read

What the record supports and how the coverage leans. The claims behind it follow.

Reality

Evidence62
Adoption20
Hype gap+30
Incentives65
Confidence62
Why these scores

Claim ledger

Ranked by verification strength, evidence, and original report placement.

  1. [1]

    UAT-10147 conducts SEO fraud and data theft while integrating AI-powered tools at various phases of the attack cycle, including exploitation, reconnaissance, payload generation, validation and persistence.

    Reported SupportedView cited source
  2. [2]

    The AI use described involves refining exploits, troubleshooting logic, automating post-exploitation workflows, validating exploits and generating operational documentation.

    Reported SupportedView cited source
  3. [3]

    Cisco Talos published a two-part report describing a Chinese-speaking cybercrime group dubbed UAT-10147 that targets Windows and Linux web servers globally across the education, media, technology and gaming sectors.

    Reported Supported Source: Cisco Talos, via The Hacker NewsView cited source
  4. [4]

    Talos said: "The actor leveraged publicly disclosed vulnerabilities to gain initial access at scale."

    Reported Supported Source: Cisco TalosView cited source
  5. [5]

    The exposed directory held a text file with a target list of approximately 170,000 URLs, split by the attacker into 17 smaller files of about 10,000 URLs each for more efficient parsing.

    Reported SupportedView cited source
  6. [6]

    Attack chains involve exploiting known flaws for remote code execution on a website or a vulnerable IIS server, then running an automated script to install malware for SEO fraud or data stealing; some cases deploy a web shell that leads to BadIIS and additional backdoors.

    Reported SupportedView cited source
  7. [7]

    Follow-on implants include Gh0stCringe and a previously unreported cross-platform implant dubbed SPECTRE.

    Reported SupportedView cited source
  8. [8]

    After root access, the actor deployed backdoors including Noodle RAT (a variant of Gh0st RAT and Rekoobe), SPECTRE and Meterpreter to enable outbound connections to remote command-and-control infrastructure.

    Reported SupportedView cited source
  9. [9]

    The published report is framed as UAT-10147 deploying SPECTRE with an EDR bypass and a Linux rootkit.

    Reported SupportedView cited source
  10. [10]

    The vast majority of the observed targets are located in Brazil, Bolivia, China, Canada and Vietnam.

    Reported SupportedView cited source
  11. [11]

    The activity came to light after discovery of an open directory hosted at 139.180.197[.]150, which was seen communicating with one of the compromised machines.

    Reported SupportedView cited source
  12. [12]

    The actor used a mixture of open-source offensive frameworks including Metasploit, ysoserial, PentestGPT, DeepAudit and multiple privilege escalation exploits to automate intrusion operations and establish persistence.

    Reported SupportedView cited source
  13. [13]

    The top five destinations on the target list are the U.S., India, the U.K., Germany and the Netherlands.

    Reported SupportedView cited source
  14. [14]

    A batch script uses certutil to download the EfsPotato privilege escalation tool, a secondary batch script and Quasar RAT from adminapi.tippusoni[.]in.

    Reported SupportedView cited source
  15. [15]

    EfsPotato is used to gain elevated system privileges and configure Microsoft Defender exclusions.

    Reported SupportedView cited source
  16. [16]

    The actor deletes initial payloads to cover its tracks and thwart forensic analysis.

    Reported SupportedView cited source
  17. [17]

    Quasar RAT is executed silently and persists via a deceptive scheduled task named "Google Chrome Start".

    Reported SupportedView cited source
  18. [18]

    The core BadIIS malware is the same specific variant known to operate under a malware-as-a-service model and used by multiple Chinese-speaking cybercrime groups.

    Reported SupportedView cited source
  19. [19]

    Linux local privilege escalation exploits abused to reach root include CVE-2022-0995, CVE-2021-3156, CVE-2015-5287, CVE-2015-3246, CVE-2010-3904 and CVE-2022-0847.

    Reported SupportedView cited source
  20. [20]

    Vulnerabilities weaponised during the campaign include CVE-2022-27925 (Zimbra), CVE-2021-23758 (AjaxPro), CVE-2019-18935 (Telerik UI for ASP.NET AJAX), and CVE-2021-29441 and CVE-2021-29442 (Alibaba Nacos).

    Reported SupportedView cited source
  21. [21]

    Talos researcher Joey Chen said that by routing exfiltrated data to a legitimate cloud-based configuration management service, the attackers blend their traffic with normal administrative operations.

    Reported Supported Source: Joey Chen, Cisco TalosView cited source
  22. [22]

    Chen said the infrastructure choice acts as an asynchronous exfiltration sink, letting the adversaries poll their own Nacos instance to verify successful exploitation across victims without the overhead or detection risk of a persistent reverse shell or direct inbound connections.

    Reported Supported Source: Joey Chen, Cisco TalosView cited source
  23. [23]

    The chunking is arithmetically exact: 17 files of about 10,000 URLs accounts for the full 170,000-entry list.

    Derived Supported
  24. [24]

    None of the five top countries on the actor's target list appear among the five countries where observed victims are concentrated: zero of five overlap.

    Derived Supported
  25. [25]

    The six named Linux privilege escalation CVEs carry assignment years from 2010 to 2022, a twelve-year span, with none newer than 2022.

    Derived Supported
  26. [26]

    The named initial-access CVEs carry assignment years between 2019 and 2022.

    Derived Supported

Sources

2 independent publishers whose own reporting we read for this story.

  1. reversinglabs.com

    1 article · August 25, 2026

    Agentic AI scales semiautonomous server attacks
  2. thehackernews.com

    2 articles · August 24, 2026

    UAT-10147 Uses AI to Scale Server Attacks, Deploys SPECTRE With EDR Bypass and Linux Rootkit

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