SOURCE-LINKED INTELLIGENCE
Inference-Engine Fingerprinting Attacks are Practical: Exploring Model-Driven Environmental Discovery, Exploitation, and Escape
Frontier AI models are rapidly gaining the ability to exploit vulnerabilities in complex pieces of software. The risk is not theoretical, as evidenced by recent sandbox escapes performed by frontier models at OpenAI and Anthropic. Discussions of how to sandbox inference stack components often focus on components other than the inference engine itself (e.g., network proxies or code execution environments). However, the inference engine is an attractive target for a misaligned model. For example, if a model can trigger exploits in that engine merely by generating specially-crafted output tokens,
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-17T15:59:45.000Z
- arXiv · Artificial Intelligence · 2026-09-17T15:59:45.000Z
First collected: 2026-09-19T20:26:32.566Z. This is not the publication date.