CVE-2026-56340: vLLM introduces enhanced protection for sparse tensor validation DoS
Attack on AI2 Disclosed vulnerabilityInfrastructure vulnerability
An incomplete previous fix left vLLM vulnerable to a denial of service attack via missing sparse tensor validation when prompt embeds are enabled. The project is implementing additional checks to validate tensor indices.
disclosed CVENo confirmed exploitation, so this record is tracked as a disclosed vulnerability and not counted as an incident. It moves into the counts if CISA or the vendor confirms exploitation. Why
Details
- type
- Attack on AIAn AI model, agent or AI-powered product was the thing exploited, abused or leaked.
- categories
- Infrastructure vulnerabilityCVEs and advisories in AI frameworks, inference servers, MCP servers, AI developer tools and hosting stacks.
- Infrastructure vulnerability
- owasp llm top 10
- mitre atlas
- no technique for these categoriesBoth rows are derived from the type and categories (OWASP 2025 edition, ATLAS release 2026.09), not classified per record. How
- severity
- 2 · Disclosed vulnerabilityCVE or vendor advisory, patched or patchable, no confirmed exploitation.
- targets
- Framework / tooling
- products
- vLLM
- incident date
- 8 Jan 2026
- first reported
- 8 Jan 2026
- origin
- GitHub Advisory DatabaseVulnerability record from NVD / the GitHub Advisory Database. This product uses the NVD API but is not endorsed or certified by the NVD.
- classifier confidence
- 0.90 · published at or above 0.80; see the methodology
- tags
- CVE-2026-56340 · dos · vllm
- record
- created 2026-10-18 07:00Z · updated 2026-10-18 18:20Z · json
Sources · 2
- 2026-01-08CVE-2026-56340: vLLM introduced enhanced protection for CVE-2025-62164GitHub Advisory Database · github.com/advisories/GHSA-mcmc-2m55-j8jj
- 2026-06-20CVE-2026-56340: vLLM versions >= 0.10.2 and < 0.13.0 are missing sparse tensor validation in multimodal embeddings processing.NVD · nvd.nist.gov/vuln/detail/CVE-2026-56340
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