vLLM is an inference and serving engine for large language models.
vLLM is an inference and serving engine for large language models. Prior to 0.30.0, flash late-interaction scoring at the /score and /rerank endpoints derives each worker's query_key value from the caller-controlled X-Request-Id header. A concurrent request that reuses a victim's identifier can overwrite the cached query embedding so the victim's documents are scored against the attacker's query, and shared use counters can also cause a late-interaction cache-miss error. This issue is fixed in version 0.30.0.
Read at NIST National Vulnerability Database (CVE API 2.0)
- Product
- AI / LLM tooling
- CVSS
- 4.2
- Fix
- available
- Exposure class
- AI infrastructure
Why it ranks 13 (Routine)
- CVSS 4.2 medium
- Product class: AI infrastructure
- Fix available
- Recency: items published within 24 hours gain 15, within 72 hours 6, within 7 days 2.
Links
- NIST National Vulnerability Database (CVE API 2.0) (nvd.nist.gov)
- CVE-2026-105755 on this site · NVD · CVE.org · Vulnpedia
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