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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.

Claude Sandbox Escape Enables Credential Exfiltration

Claude Sandbox Escape Enables Credential Exfiltration

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 7.2 Simon Willison

Anthropic has published detailed documentation of its sandboxing architecture across Claude.ai, Claude Code, and Claude Cowork, including disclosure of a previously identified credential exfiltration vector via the api.anthropic.com/v1/files endpoint. The writeup covers process-level isolation technologies including gVisor, Seatbelt, Bubblewrap, and full VM approaches, and candidly acknowledges security gaps that were missed. This transparency is notable for the agentic AI space, where sandbox documentation is typically sparse and trust is difficult to calibrate.

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