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UAT-10608: Inside a large-scale automated credential harvesting operation targeting web applications
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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.
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Actor Exploits Microsoft Exchange Server Vulnerabilities, Cortex XDR Blocks Harvesting of Credentials
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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.
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Clop-Linked Windchill Web Shell Decrypts Credentials and Maps Engineering Data
ReliaQuest details a bespoke JSP web shell that Clop deploys on hacked PTC Windchill and FlexPLM servers after exploiting CVE-2026-12569.
ReliaQuest analyzed a custom Java web shell planted on vulnerable PTC Windchill and FlexPLM servers following exploitation of CVE-2026-12569 (CVSS 9.3). The implant decrypts Windchill keystore credentials including the LDAP manager password, enumerates the file vault for engineering data, and loads attacker-supplied Java classes in memory for post-exploitation. Commands let operators read and delete files, exfiltrate results, and deliver follow-on payloads such as ransomware. Ransom-ISAC, eCrime.ch and Defused previously attributed the campaign to the Clop data-theft extortion group.
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Marimo RCE Flaw Lets Hackers Steal AWS Credentials and Pivot to Bastion Host in 8 Seconds
Attacker exploited unauthenticated marimo WebSocket RCE CVE-2026-39987 to steal AWS credentials and SSH into a bastion host in eight seconds.
Sysdig Threat Research Team documented a real intrusion exploiting CVE-2026-39987 in marimo (versions up to 0.20.4, fixed in 0.23.0), where the unauthenticated /terminal/ws WebSocket endpoint exposed an interactive shell. Within eight seconds the attacker pulled AWS credentials from Redis, extracted an SSH private key from AWS Secrets Manager via Boto3, and authenticated to a bastion host; over nine hours the operator ran 850+ commands using a staged custom Python toolkit. Blocked EC2 Instance Connect attempts (SendSSHPublicKey to placeholder instance i-0000000000000000) provide a high-confidence detection signal.
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Hackers Deploy Agentic AI to Automate Exploitation and Mass Credential Harvesting
Google GTIG documents a financially motivated actor using a multi-agent AI framework to automate credential harvesting, compromising over 23,800 secrets within hours.
Google Threat Intelligence Group (GTIG) documented a financially motivated actor that compromised an unnamed organization's cloud infrastructure and used a multi-agent AI framework to automate vulnerability scanning, credential harvesting, troubleshooting, and IP rotation. The operation went from planning to mass credential compromise in under six hours, harvesting more than 23,800 secrets including cloud and AI-service API keys via an exposed C2 dashboard called 'Recon'. The actor directed specialized agents using an AI coding chatbot and Markdown instruction files such as AGENTS.KNOWLEDGE.md and agentic_vuln_research.md. Google has not observed fully autonomous zero-day exploitation; the shift automates labor-intensive tasks like reconnaissance, account validation, and infrastructure management, sharply shrinking detection windows.
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Two Arrests, One Supply-Chain Attack, and a Lot of Stolen Credentials
AFP charges two men over TeamPCP open-source supply-chain attacks that stole 500,000+ credentials from 1,000+ organizations via four malware families.
Australian police charged two Western Australian men as principal participants in TeamPCP, which allegedly inserted malicious code into open-source software to steal credentials and sensitive data from government, academia, and private sector organizations worldwide. The campaign compromised more than 1,000 organizations, harvested over 500,000 credentials, and exfiltrated at least 300 GB of data, with remediation costs in the hundreds of millions of dollars. Four malware families were deployed: CanisterWorm (cloud token harvesting), SANDCLOCK (AWS and Kubernetes credential theft), Mini Shai-Hulud (self-replicating npm/PyPI worm), and Miasma (credential-harvesting worm variant). Trojanized tools included Trivy, KICS, LiteLLM, and the Telnyx Python SDK, with exfiltration via GitHub repositories tpcp-docs and docs-tpcp.
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