A AegiFlow
MEDIUMCVSS 6.5EPSS 0.5%

CVE-2026-34755

CVE-2026-34755 updated by NVD

Published
2026-04-03
Modified
2026-08-27
EPSS percentile
38%
Sources
github-advisory, nvd

Summary

vLLM is an inference and serving engine for large language models (LLMs). From 0.7.0 to before 0.19.0, the VideoMediaIO.load_base64() method at vllm/multimodal/media/video.py splits video/jpeg data URLs by comma to extract individual JPEG frames, but does not enforce a frame count limit. The num_frames parameter (default: 32), which is enforced by the load_bytes() code path, is completely bypassed in the video/jpeg base64 path. An attacker can send a single API request containing thousands of comma-separated base64-encoded JPEG frames, causing the server to decode all frames into memory and crash with OOM. This vulnerability is fixed in 0.19.0.

Affected packages

EcosystemPackageAffected versionsFixed versions
PyPIvllm0.19.0

Remediation: Upgrade to 0.19.0 or later.

References

Includes data from the GitHub Advisory Database, licensed under CC-BY 4.0.

Includes data from the National Vulnerability Database (NIST). NVD data is in the public domain; this page is not endorsed by NIST.

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EPSS scores provided by the FIRST.org Exploit Prediction Scoring System.