Duplicate Advisory: vLLM introduced enhanced protection for CVE-2025-62164
GHSA-78fp-cf4h-g36p
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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This advisory has been withdrawn because it is a duplicate of GHSA-mcmc-2m55-j8jj.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.
References
- WEB https://github.com/vllm-project/vllm/security/advisories/GHSA-mcmc-2m55-j8jj
- ADVISORY https://nvd.nist.gov/vuln/detail/CVE-2026-56340
- WEB https://access.redhat.com/security/cve/CVE-2026-56340
- WEB https://bugzilla.redhat.com/show_bug.cgi?id=2491060
- PACKAGE https://github.com/vllm-project/vllm
- WEB https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-56340.json
- WEB https://www.vulncheck.com/advisories/vllm-denial-of-service-via-unvalidated-multimodal-embeddings
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