⚠ Withdrawn by GitHub Security Advisories

Withdrawn: September 11, 2026

GHSA-78fp-cf4h-g36pHighCVSS 8.8Disclosed before NVD

Duplicate Advisory: vLLM introduced enhanced protection for CVE-2025-62164

Published
June 20, 2026
Last Modified
September 11, 2026

📋 Description

Duplicate Advisory

This advisory has been withdrawn because it is a duplicate of GHSA-mcmc-2m55-j8jj. This link is maintained to preserve external references.

Original Description

vLLM versions >= 0.10.2 and < 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests with malformed (negative or out-of-bounds) tensor indices, when the prompt-embeds feature is enabled, to trigger crashes or resource exhaustion (denial of service), with potential for out-of-bounds/write-what-where memory corruption. This continues CVE-2025-62164, whose prior fix only disabled the feature by default rather than addressing the root cause.

🎯 Affected products1

  • pip/vllm:>= 0.10.2, < 0.13.0

🔗 References (7)