CVE-2026-56340: vLLM introduces enhanced protection for sparse tensor validation DoS
vLLM
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
- CVSS
- 8.8
- EPSS
- 0.01 · top 49% · 2026-11-13
- fix status
- Fix status unknown
- first report
- 8 Jan 2026
- last update
- 20 Jun 2026
- CVE ids
Timeline · 2
Sources · 2
Advisories and databases
- 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
Titles and links belong to their publishers. The summary above is written by gcdRadar in its own words; data is CC BY-SA 4.0.
Classification
- lane
- Patch now
- AI role
- Attack on AI
- categories
- Infrastructure vulnerability
- severity
- 2 · Disclosed vulnerability
- fix status
- Fix status unknown
- targets
- Framework / tooling
- owasp llm top 10
- LLM03:2025 Supply Chain
- mitre atlas
- no technique for these categories
- dates
- happened 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.
- record
- confidence 0.90 · created 2026-10-18 07:00Z · updated 2026-10-18 18:20Z
Lane, AI role, categories and severity come from the classifier; the OWASP and ATLAS rows are derived from the categories. How these are assigned
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the brief as text
# CVE-2026-56340: vLLM introduces enhanced protection for sparse tensor validation DoS https://gcdradar.vercel.app/incidents/cve-2026-56340-vllm-introduces-enhanced-protection-for-spars · AIR-2026-0429 · closed 2026-01-08 - Lane: Patch now - Severity: 2 (Disclosed vulnerability) - Fix status: Fix status unknown - First reported: 2026-01-08 - AI role: Attack on AI - Products: vLLM - CVE ids: CVE-2026-56340 - CVSS: 8.8 ## Summary 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. ## What to do No action recorded; read the sources below and the vendor's advisory. ## Latest updates - 2026-06-20: CVE-2026-56340: vLLM versions >= 0.10.2 and < 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. (https://nvd.nist.gov/vuln/detail/CVE-2026-56340) - 2026-01-08: CVE-2026-56340: vLLM introduced enhanced protection for CVE-2025-62164 (https://github.com/advisories/GHSA-mcmc-2m55-j8jj) ## Sources - 2026-01-08 GitHub Advisory Database: CVE-2026-56340: vLLM introduced enhanced protection for CVE-2025-62164 https://github.com/advisories/GHSA-mcmc-2m55-j8jj - 2026-06-20 NVD: CVE-2026-56340: vLLM versions >= 0.10.2 and < 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. https://nvd.nist.gov/vuln/detail/CVE-2026-56340 Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.
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