PlatformPlansPartners
Resources
ToolsBlogDocs
Sign Up →
critical·Product Based Web Vulnerabilities·Updated Jun 28, 2026

vLLM 0.8.3 - 0.14.0 - Information Disclosure

Est. Time~10 seconds
Scan TypeGroup Scan
Targetsdomain, subdomain, ipv4
CostFree
3.2k
Times Used
continuous scan runs
0
Continuously Checked
assets under CS
0
Vulnerabilities Found
confirmed findings
References
CVECVE-2026-22778
9.8
CVSScritical
Exploitable remotely over the internet · no authentication required.

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.

Attack Vector
Network
Privileges Req.
None
User Interaction
None
Affected
vllmby vllm-project
>= 0.8.3, < 0.14.1
Red Hat AI Inference Server 3.2by Red Hat
AFFECTED< *SAFE ✓≥ *
Red Hat AI Inference Server 3.2by Red Hat
AFFECTED< *SAFE ✓≥ *
Red Hat AI Inference Server 3.3by Red Hat
AFFECTED< *SAFE ✓≥ *
Updated Sep 9, 2026View on NVD →

Check your infrastructure.
Right now.

11,000+ scanners. Free to start. No credit card required.

vLLM 0.8.3 - 0.14.0 - Information Disclosure CVE-2026-22778 Scanner | S4E