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RunSybil finds a CPython flaw that lets crafted models run code on servers
See how this story connectsRunSybil reported a memory-safety flaw in CPython that lets a crafted model escape a Jinja chat-template sandbox and run code on the inference server, shown on CPython 3.14 and later. It disclosed the bug to CPython, the Pallets Project and Hugging Face, and says it has not found an owner willing to implement a holistic fix for the AI supply chain. The team built a backdoored Qwen/Qwen2.5-0.5B-Instruct model that ran code inside vLLM, and says the exploit took less than a day with GPT-5.6 Sol.
Why it matters
Hosting platforms that load user-supplied models could run attacker code on their servers, and the fix will not be backported to all supported CPython versions.
- When
- 3 Nov 2026
- ID
WTA-N-2026-0770- Where
- International
- Who
- RunSybil, Python Security Response Team, Pallets Project, Hugging Face, vLLM, Amazon Web Services, DigitalOcean
- Topics
- Cybersecurity, Open-weight models
Summary written with AI by wheresthe.ai, from RunSybil and the reporting credited above. Checked against the source on 6 Nov 2026.
Source copy: saved on 6 Nov 2026 to check this story and not republished, because the text belongs to its publisher. Also held by the Internet Archive.
Cite this story
WTA-N-2026-0770: “RunSybil finds a CPython flaw that lets crafted models run code on servers.” wheresthe.ai, 3 Nov 2026. https://wheresthe.ai/d/intl-runsybil-finds-a-cpython-flaw-that-lets-crafted-models-2026-11/ (source: RunSybil).
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