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FIRST LOOK Outerlimit Launches Decentralized AI Agent Authorization Layer // FIRST LOOK OWASP Flags AI Agent Unbounded Consumption as Top Enterprise Risk // HIGH Meta Muse AI Agent Hijacked via Hidden Dictation Endpoint // HIGH RatHat Android Trojan Uses AI for Real-Time Evasion // FIRST LOOK Amazon Blocks Meta Muse AI Agent Over Credential and Trust Concerns // FIRST LOOK AWS Brings Secure Self-Service AI Agents to Financial Services // CRITICAL Claude AI Used by Yemen Cell to Develop Guided Missiles // HIGH BragJack Hijacks AI Browser Agents via Malicious Extensions // FIRST LOOK AWS Adds Defense-in-Depth Authorization for MCP Tools on Amazon Q // FIRST LOOK Anthropic CEO Calls for AI Control Over Capability Race //
PYTHON

Python

2 reports
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smolvm Brings Hardware-Isolated Sandboxing for AI Code Execution

smolvm Brings Hardware-Isolated Sandboxing for AI Code Execution

FIRST LOOK ATLAS OWASP LOW Limited impact · Standard review ▲ 6.2 Simon Willison

smolmachines/smolvm 1.8.3 provides hardware-isolated VM sandboxing for untrusted Python and JavaScript, with enforced CPU/RAM limits, no-network execution, filesystem quotas, and cold starts under 1.5 seconds. For defenders building AI platforms that execute user-supplied or LLM-generated code, this closes the critical gap between shared-kernel container isolation and true VM-level isolation for data transformation workloads. Residual maturity questions remain around orchestration integration, audit logging depth, and the KVM dependency that excludes nested-virtualisation environments like many CI and cloud agent runtimes.

Google APK Flaw Enables Agent-to-Agent Supply Chain Attack

Google APK Flaw Enables Agent-to-Agent Supply Chain Attack

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 Dark Reading

Researchers discovered vulnerabilities in Google's Python APK that allowed attackers to exploit a trust boundary between two AI agents operating at different privilege levels. The flaw enabled agent-to-agent attack chains capable of triggering automated workflows with supply chain compromise potential. Google has since patched the issues, but the disclosure highlights systemic risks in multi-agent AI architectures.

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