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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 News · 7d agoThreat actor in the wild

CISA Warns of N-able N-central RCE Vulnerability Exploited in the Wild

CISA added CVE-2026-86218, a CVSS 10.0 unauthenticated RCE in N-able N-central RMM, to its KEV catalog; on-premises admins must patch to 2026.3.1.14.

CISA added CVE-2026-86218, a CVSS 10.0 static code injection (CWE-96) enabling unauthenticated RCE in N-able N-central, to the Known Exploited Vulnerabilities catalog on September 8, 2026. The flaw affects all on-premises builds before 2026.3.1.14 across the 2025.4 through 2026.3 release lines; N-able shipped Hotfix 4 for 2026.3 on September 5-6, 2026. Huntress research indicates at least one customer's N-central instance was compromised on September 4, and federal civilian agencies must mitigate by September 11 under BOD 26-04. Hosted environments were patched server-side, but a compromised RMM server can serve as a single point of entry into entire MSP client bases.