GHSA-pq5c-rjhq-qp7p: vLLM: Denial of Service via Unbounded Frame Count in video/jpeg Base64 Processing
Summary
vLLM's `VideoMediaIO.load_base64()` method has a vulnerability where it processes `video/jpeg` data URLs (a vLLM-specific format for sending multiple JPEG frames) without limiting how many frames can be included. An attacker can send thousands of comma-separated base64-encoded JPEG frames in a single API request, causing the server to decode all of them into memory at once and crash due to running out of memory (OOM, or out-of-memory error).
Vulnerability Details
EPSS: 0.0%
Yes
April 3, 2026
Classification
Affected Vendors
Affected Packages
Related Issues
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CVE-2021-29541: TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a dereference of a null p
Original source: https://github.com/advisories/GHSA-pq5c-rjhq-qp7p
First tracked: April 3, 2026 at 08:00 PM
Classified by LLM (prompt v3) · confidence: 95%