CVE-2026-115914: vLLM multimodal OCR path denial of service

# CVE-2026-115914: vLLM multimodal OCR path denial of service

https://gcdradar.vercel.app/incidents/cve-2026-115914-vllm-multimodal-ocr-path-denial-of-service · AIR-2026-1541 · closed 2026-10-26

- Lane: Patch now
- Severity: 2 (Disclosed vulnerability): Disclosed vulnerability with a fix and no exploitation reported; CVSS 6.5.
- Fix status: Patched
- First reported: 2026-10-26
- AI role: Attack on AI
- Products: vLLM
- CVE ids: CVE-2026-115914
- CVSS: 6.5

## Summary

An input validation flaw in vLLM allows remote clients to submit specially crafted images that cause a fatal assertion and crash the inference engine. The vulnerability is resolved in version 0.32.0.

## What to do

Update to vLLM version 0.32.0.

## Affected and fixed versions

- Affected: vLLM 0.11.1 to 0.32.0
- Fixed in: vLLM 0.32.0

## Latest updates

- 2026-10-28: GitHub advisory published (https://github.com/advisories/GHSA-gq5q-89c7-vhvx)
- 2026-10-26: CVE-2026-115914: vLLM is an inference and serving engine for large language models. (https://nvd.nist.gov/vuln/detail/CVE-2026-115914)

## Sources

- 2026-10-26 NVD: CVE-2026-115914: vLLM is an inference and serving engine for large language models. https://nvd.nist.gov/vuln/detail/CVE-2026-115914
- 2026-10-28 GitHub Advisory Database: CVE-2026-115914: vLLM DeepSeek-OCR image processing vulnerable to denial of service https://github.com/advisories/GHSA-gq5q-89c7-vhvx

Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.