GHSA-4r2x-xpjr-7cvv · Severity: critical · Ecosystem: pip — vLLM has RCE In Video Processing
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.
Conclusion & alert: CVE-2026-22778 is rated Moderate Risk (45.8/100): CVSS Critical severity, with low exploitation likelihood (EPSS 0.06%). Mandatory action: Review affected assets and schedule remediation.
Risk is dynamic; we continuously reassess and refresh what is shown on this page as upstream context changes.
EPSS lead: Daily EPSS estimates relative likelihood of exploitation; percentile ranks this CVE among scored vulnerabilities (higher = more severe relative rank).
| # | Date | Old EPSS score | New EPSS score | Delta (New - Old) |
|---|---|---|---|---|
| 1 | 2026-02-03 | — | 0.06% | — |
Full EPSS history (1 record total)
CVSS metrics for this CVE.
| Base score | Version | Severity | Vector | Exploitability | Impact | Score source |
|---|---|---|---|---|---|---|
| 9.8 | 3.1 | CRITICAL |
|
3.9 | 5.9 | [email protected] |
GHSA-4r2x-xpjr-7cvv · Severity: critical · Ecosystem: pip — vLLM has RCE In Video Processing
| vendor | priority | summary | link |
|---|---|---|---|
redhat
|
critical | — | https://access.redhat.com/security/cve/CVE-2026-22778 |
| URL | Tags |
|---|---|
| https://github.com/vllm-project/vllm/pull/31987 | Issue Tracking Patch |
| https://github.com/vllm-project/vllm/pull/32319 | Issue Tracking Patch |
| https://github.com/vllm-project/vllm/releases/tag/v0.14.1 | Release Notes |
| https://github.com/vllm-project/vllm/security/advisories/GHSA-4r2x-xpjr-7cvv | Vendor Advisory |