GHSA-78fp-cf4h-g36p
Duplicate Advisory: vLLM introduced enhanced protection for CVE-2025-62164
Withdrawn ·
At a glance
- Published
- Updated
- CVSS_V3
- CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
- CVSS_V4
- CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N
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### Duplicate Advisory This advisory has been withdrawn because it is a duplicate of GHSA-mcmc-2m55-j8jj.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 packages
| Package | Versions |
|---|---|
| PyPI · vllm | introduced 0.10.2, fixed 0.13.0 |
References
- https://github.com/vllm-project/vllm/security/advisories/GHSA-mcmc-2m55-j8jj WEB
- https://nvd.nist.gov/vuln/detail/CVE-2026-56340 ADVISORY
- https://access.redhat.com/security/cve/CVE-2026-56340 WEB
- https://bugzilla.redhat.com/show_bug.cgi?id=2491060 WEB
- https://github.com/vllm-project/vllm PACKAGE
- 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 WEB
Sources
| Source | Licence |
|---|---|
| OSV.dev | CC-BY 4.0 — GitHub Advisory Database |