CVE-2026-41523
vLLM: Security Check Bypass via assert Statement in Activation Function Loading Allows Arbitrary Code Execution
Description
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.0, an assert-based security check in vLLM's activation function loading allows any unauthenticated attacker to achieve arbitrary code execution on the server by publishing a malicious HuggingFace model, when vLLM runs in Python optimized mode (python -O or PYTHONOPTIMIZE=1). This vulnerability is fixed in 0.22.0.
INFO
Published Date :
June 22, 2026, 10:18 p.m.
Last Modified :
June 22, 2026, 10:18 p.m.
Remotely Exploit :
No
Source :
GitHub_M
Solution
- Update vLLM to version 0.22.0 or later.
- Avoid running vLLM in Python optimized mode.
- Use only trusted HuggingFace models.
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2026-41523 vulnerability anywhere in the article.