Threat actor

UNC6780

2 mentions in 7 days · 7 in 30 days · 8 total · first seen Aug 12, 2026 · last 6d ago

Timeline8 articles

AI Is Giving Lesser-Resourced Attackers Nation-State-Level Reach, Google Warns

Google's Threat Intelligence Group warns AI now gives lesser-resourced criminal and nation-state attackers nation-state-level speed and scale, citing TeamPCP, Basin Castle, APT42, and APT24 usage.

GTIG documented throughout 2026 that adversaries increasingly use AI to automate and scale attacks. TeamPCP (UNC6780) used an AI coding chatbot with agent instructions to plan and execute a mass credential harvesting campaign in under six hours, and has compromised PyPI, npm, and Docker Hub since March 2026 with its Dustmaker credential stealer plus released tools Shai-Hulud and Miasma. PRC-nexus Basin Castle uses LLMs for target profiling, lure drafting, and malware development; APT42 (Calanque Ion) uses Gemini for OSINT and localized lures; APT24 (Ravine Castle) uses Gemini across the full attack lifecycle; and DPRK's Midnight Neptune (UNC1069) integrates AI into cryptocurrency theft. Google responds by disrupting attacker accounts and hardening models against distillation attacks.

SecurityWeekSep 9, 16:56 UTC · 6d agoThreat actor in the wild 2 sources2

Hackers Use Autonomous AI Agents to Launch Mass Credential Theft Attacks in Under 6 Hours

Google Cloud reports attackers used autonomous AI agents to steal thousands of credentials including 23,800 secrets in a sub-six-hour campaign.

Google Cloud threat intelligence observed financially motivated attackers compromising cloud infrastructure and using AI coding agents guided by written playbook files to scan, harvest and rotate credentials within six hours. An exposed C2 dashboard for a framework called Recon organized and validated more than 23,800 stolen secrets, including API keys for cloud and AI services. Related activity includes UNC6780 publishing the trojanized tiktoken_mcp package on PyPI to target CI/CD tokens and the DUSTMAKER stealer hiding in .claude, .vscode and .cursor workspace directories.

Cyber Security Newsupdated Sep 9, 16:56 UTC · 6d agofirst Sep 9, 12:47 UTC · 6d agoThreat actor in the wild 2 sources

GTIG AI Threat Tracker: From Prompting to Autonomy – The Evolution of Adversarial AI

GTIG's Q2 2026 tracker shows adversaries adopting agentic AI workflows, including credential harvesting in under six hours and supply chain attacks by UNC6780.

Google Threat Intelligence Group's Q2 2026 report documents adversaries moving from basic prompting to agentic AI workflows and automation, including a cloud compromise followed by agent-enabled mass credential harvesting executed in under six hours. It tracks financially motivated actor UNC6780 (TeamPCP) conducting large-scale open source supply chain compromises across PyPI, npm, and Docker Hub since March 2026, deploying credential stealers. The report also highlights growing targeting of proprietary AI models, source code, prompts, and API credentials, plus LLMJacking practices where adversaries steal developer credentials or hijack cloud infrastructure to run unauthorized AI workloads.

Google Threat IntelligenceSep 8, 14:00 UTC · 7d agoThreat actor in the wild

Autonomous AI Agents Compromise Thousands of Credentials in Under Six Hours

Google's GTIG reports threat actors using autonomous AI agents, credential stealers, and LLMs to steal AI models, API credentials, and harvest thousands of credentials.

Google Threat Intelligence Group says attackers are targeting proprietary AI models across healthcare, government, and media, exfiltrating API credentials, and co-opting victim cloud environments to run unauthorized AI workloads. TeamPCP (Altered Spider/UNC6780) is conducting supply chain compromises of PyPI, npm, and Docker Hub, deploying the SANDCLOCK and DUSTMAKER credential stealers, with DUSTMAKER using AI workspace poisoning and prompt injection for defense evasion. One financially motivated actor used an autonomous multi-agent framework to compromise thousands of third-party credentials in under six hours without human intervention. China-nexus groups UNC6508 and Basin Castle (Mustang Panda) used local open-weight LLMs and commercial LLMs like Gemini, Claude, and Codex for espionage tasks and evading provider monitoring.

The Hacker NewsSep 8, 13:48 UTC · 7d agoThreat actor in the wild 2 sources1

AI Coding Tools Now a Prime Target for Threat Actors, Google Warns

Google Threat Intelligence Group warns threat actors increasingly target AI coding tools and proprietary AI data, with UNC6780's Dustmaker enabling large-scale supply chain compromises.

Google Threat Intelligence Group's September 8 report says AI-assisted coding tools have become prime targets, contributing to large-scale software supply chain compromises in 2025 and early 2026. Financially motivated group UNC6780 used its Dustmaker credential stealer to extract tokens from GitHub Actions runner memory and compromise packages across PyPI, npm, and Docker Hub, then sold harvested AI tool credentials to other criminals. Chinese nation-state actor UNC6508 conducted espionage against proprietary AI research at North American academic, medical, and military institutions, while extortion gangs stole models, prompts, and source code in Q2 2026. GTIG also documented agentic attacker experimentation, including an autonomous multi-agent credential harvesting campaign built in under six hours and a 'Recon' C2 framework managing over 23,800 harvested secrets.

Infosecurity MagazineSep 8, 12:02 UTC · 7d agoThreat actor in the wild 2 sources1

Extortion crews have their eyes on high-value AI data, Google warns

Google's Mandiant warns extortion crews now steal proprietary AI models, prompts, and research for ransom, while threat actors automate attacks with agentic AI.

Google's AI Threat Tracker details intrusions in which extortion crews exfiltrated healthcare drug research and a proprietary AI model, and stole an AI media company's source code, prompts, skills, model scripts, and secrets, threatening leaks unless paid. TeamPCP (UNC6780), behind large open-source supply chain attacks on PyPI, npm, and Docker Hub since March, used a malicious GitHub Actions workflow to exfiltrate a company's proprietary AI repository. Mandiant also observed a fully autonomous multi-agent credential-harvesting cloud intrusion completed in under six hours, and a China-linked espionage group using Gemini to build a dynamic automated penetration-testing framework.

The Register · SecuritySep 8, 12:00 UTC · 7d agoThreat actor in the wild 2 sources1

Google researchers uncover criminal zero-day exploit likely built with AI

Google links a likely LLM-built criminal zero-day for an open-source admin tool to planned mass exploitation and maps AI-assisted threats.

Google Threat Intelligence Group linked a zero-day exploit for a popular open-source web-based administration tool, enabling 2FA bypass with valid credentials via a semantic logic error, to a criminal group, citing educational docstrings, a hallucinated CVSS score, and textbook Python as signs of LLM authorship; the vendor was notified before a planned mass exploitation campaign. The report also details Russia-nexus malware families CANFAIL and LONGSTREAM using AI-generated decoy code, the PROMPTSPY Android backdoor driving the UI through the Gemini API, APT27 using Gemini to build relay tooling, and the TeamPCP (UNC6780) supply chain compromise of LiteLLM and Trivy repositories that planted the SANDCLOCK credential stealer.

Help Net SecurityAug 24, 04:21 UTC · 22d agoThreat actor

Malicious LiteLLM Releases Tied to Trivy Hack May Have Exposed 2,100+ Organizations

Malicious LiteLLM 1.82.7/1.82.8 PyPI releases tied to the Trivy TeamPCP campaign harvested cloud, SSH, and database credentials, potentially exposing 2,500+ organizations.

CloudSEK reported that two malicious LiteLLM releases on PyPI (versions 1.82.7 and 1.82.8, live about 40 minutes on March 24) harvested cloud keys, SSH keys, Kubernetes tokens, and database passwords, with captured loot files mapping potential exposure to more than 2,500 organizations including NVIDIA, Cisco, Deloitte, Volkswagen, FedEx, Siemens, and X Corp. The campaign is part of TeamPCP (tracked by Google as UNC6780), linked to the Aqua Security Trivy scanner compromise tracked as CVE-2026-33634 and added to CISA's Known Exploited Vulnerabilities catalog on March 26. The payload used a litellm_init.pth file executed at Python interpreter startup and exfiltrated secrets to models.litellm[.]cloud; the FBI's FLASH-20260702-01 advisory urged rotation of CI/CD, publishing, and cloud credentials.

The Hacker NewsAug 12, 08:05 UTC · Aug 12, 2026Data breach in the wildCVE-2026-33634

Related CVEsby mentions

CVE-2026-336349.459%
Embedded Malicious Code in Aquasecurity Trivy, trivy-action, and setup-trivy Releases
CVE-2026-33634 is an embedded malicious code (supply chain) vulnerability in which a threat actor using compromised Aquasecurity credentials published a backdoored Trivy v0.69.4 release on March 19, 2026, force-pushed 76 of 77 version tags in the aquasecurity/trivy-action GitHub Action to credential-stealing malware, and replaced all 7 tags in aquasecurity/setup-trivy with malicious commits. The malicious code executes when CI/CD pipelines pull or run the affected Trivy Go module/container image or when workflows resolve the compromised mutable version tags, including runs on March 19-20, 2026 that referenced tags instead of pinned commit SHAs. An attacker gains code execution in developer CI environments and can steal secrets (cloud, registry, and other credentials accessible to affected pipelines), with a repository named 'tpcp-docs' appearing in an organization indicating the fallback exfiltration mechanism fired and secrets were taken. Anyone who pulled or executed Trivy 0.69.4 or referenced affected trivy-action (0.0.1-0.34.2) or setup-trivy (0.2.0-0.2.6) tags is affected, and related malicious LiteLLM releases tied to the same campaign may have exposed 2,100+ organizations. Exploitation is confirmed in the wild: CISA added the flaw to its Known Exploited Vulnerabilities catalog on March 26, 2026, EPSS estimates a 59.2% probability of exploitation within 30 days, and the FBI reports the TeamPCP actor compromised developer tools to steal cloud credentials.
· Aquasecurity (Aquasec) Trivy (Go module / container image) 0.69.4 (known safe: 0.69.2 and 0.69.3) · Aquasecurity (Aquasec) trivy-action (GitHub Action) 0.0.1 through 0.34.2 (76 of 77 tags force-pushed with malicious commits; known safe: 0.35.0) KEV PoC ×2large

Appears with

threat actor TeamPCP 6 malware Dustmaker 4 product Gemini 4 vendor Google 4 product PyPI 3 threat actor UNC6508 3 ai model Gemini 3 organization Google Threat Intelligence Group 3 product npm 2 product Docker Hub 2 threat actor Basin Castle 2 organization Google 2 product GitHub Actions 2 product LiteLLM 2 malware SANDCLOCK 2 organization CISA 2

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