CVE-2026-22778
CriticalCVSS 9.8Exploitation Probability (EPSS)
High risk88th percentile - higher than 88% of all known CVEs
Summary
A vulnerability in vLLM from version 0.8.3 to 0.14.0 leaks a heap address when an invalid image is sent to the multimodal endpoint. This leak reduces ASLR effectiveness from 4 billion to about 8 guesses, facilitating further attacks.
Risk Assessment
The risk is that this vulnerability can be chained with a heap overflow in the JPEG2000 decoder in OpenCV/FFmpeg, potentially leading to remote code execution on the server.
Recommendation
Immediately upgrade vLLM to version 0.14.1 or later, which fixes the heap address leak.
Original NVD description (English source)
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.