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FIRST LOOK Microsoft Uses AI to Ship Record 974-Vulnerability Patch Batch // FIRST LOOK Meta Launches Muse Personal AI Agent with Secure VM Isolation // CRITICAL ChatGPT Cross-Account Data Leakage via Sandbox Channel // HIGH Hidden Prompt Injection Attacks Hijack Autonomous AI Agents // FIRST LOOK Schneier and Raghavan Frame AI Agent Risk as a Genie Problem // HIGH ChatGPT Prompt Injection Exfiltrates Gmail Data via Hidden Channel // FIRST LOOK Capsule Security Launches AI Circuit Breaker for Rogue Agents // MEDIUM Rogue AI Agents Drive Insurers to Rethink Cyber Risk // HIGH LLM-Assisted Intrusions Hit Latin American Orgs via NextChat // HIGH GPT 5.6-Cyber Breaks VM Sandboxes, Exposing Agent Limits //
POST-EXPLOITATION

Post-Exploitation

2 reports
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RedC2 4.0 AI-Assisted Backdoor Hidden in npm Packages

RedC2 4.0 AI-Assisted Backdoor Hidden in npm Packages

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 The Hacker News

Fourteen trojanized npm packages posing as calendar and streak utilities have been discovered delivering RedShell, the Linux beacon component of RedC2 4.0 — a commercially sold, AI-assisted command-and-control framework. The packages are functional by design, lowering suspicion while silently launching a detached backdoor process on import with no install hook required. RedC2 4.0 supports credential theft, in-memory execution, tunneling, and multi-beacon operations, making successful deployment a significant post-exploitation risk for any Linux environment that consumes affected packages.

Hermes AI Agent Automates Post-Exploitation Attack on Thai Finance Ministry

Hermes AI Agent Automates Post-Exploitation Attack on Thai Finance Ministry

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.8 BleepingComputer

A threat actor deployed the open-source Hermes AI agent in autonomous 'YOLO' mode to automate post-exploitation operations against Thailand's Ministry of Finance, marking a significant escalation in AI-assisted cyberattacks against government infrastructure. Exposed attack directories revealed 585 files including web shells, stolen credentials, and Hermes-generated logs targeting internal ministry systems such as Hadoop, Apache Ambari, and GlassFish. This incident illustrates the growing operational use of agentic AI frameworks by adversaries to reduce manual effort and accelerate attack timelines at scale.

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