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Vulnerabilities

CVE-2026-22778 | BDVDB-2026-313340 Detail

vllm-projectvllm

Description#

vLLM is an inference and serving engine for large language models (LLMs). From 0.8.3 to before 0.14.1, when an invalid image is sent to vLLM's multimodal endpoint, PIL throws an error. vLLM returns this error to the client, leaking a heap address. With this leak, we reduce ASLR from 4 billion guesses to ~8 guesses. This vulnerability can be chained a heap overflow with JPEG2000 decoder in OpenCV/FFmpeg to achieve remote code execution. This vulnerability is fixed in 0.14.1.

Impact#

Per CVSS v3.1: confidentiality impact high, integrity impact high, availability impact high. Attack vector: network.

Weaknesses#

  • CWE-532 Insertion of Sensitive Information into Log File
  • CWE-209 Generation of Error Message Containing Sensitive Information

References#

Exploit#

No public exploit known

History#

  1. Version 1Record published in the CVE List.
  2. Version 2Most recent update recorded in the CVE List.