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CVE-2026-34755

בינונית 6.5

תיאור (מקור, אנגלית)

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.

מדדים

CVSS 3.1
6.5 (MEDIUM) מקור הציון: CNA CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
EPSS — סבירות ניצול
1% (אחוזון 100) נכון ל-24/9/2026
CWE
CWE-770

מוצרים מושפעים

vllm: vllm

קישורים