CVE-2025-48956: vLLM API Denial of Service via Large HTTP Headers
Attack on AI2 Disclosed vulnerabilityInfrastructure vulnerability
An unauthenticated denial of service vulnerability in vLLM occurs when processing excessively large HTTP request headers, leading to server memory exhaustion. Vendor updates are available to resolve the problem.
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
- 21 Aug 2025
- first reported
- 21 Aug 2025
- 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
- 0.95 · published at or above 0.80; see the methodology
- tags
- CVE-2025-48956 · dos
- record
- created 2026-10-18 07:00Z · updated 2026-10-18 10:04Z · json
Sources · 2
- 2025-08-21CVE-2025-48956: vllm API endpoints vulnerable to Denial of Service AttacksGitHub Advisory Database · github.com/advisories/GHSA-rxc4-3w6r-4v47
- 2025-08-21CVE-2025-48956: vLLM is an inference and serving engine for large language models (LLMs).NVD · nvd.nist.gov/vuln/detail/CVE-2025-48956
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