A AegiFlow
HIGHCVSS 8.7

GHSA-78fp-cf4h-g36p

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

Published
2026-06-20
Modified
2026-09-11
Sources
github-advisory

Summary

### Duplicate Advisory This advisory has been withdrawn because it is a duplicate of GHSA-mcmc-2m55-j8jj.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 packages

EcosystemPackageAffected versionsFixed versions
PyPIvllm0.13.0

Remediation: Upgrade to 0.13.0 or later.

References

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