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, Harmony tool continuations submitted through "POST /v1/responses" requests rebuild the next-turn engine input without preserving the cache_salt value, placing the continuation prefix in the global unsalted cache namespace even when the caller enabled salting. On deployments with prefix caching enabled, which is the default, an authenticated tenant who can reconstruct a victim's low-entropy post-tool history can submit the same continuation and use the cached_tokens_per_turn count to determine whether the prefix
Read at NIST National Vulnerability Database (CVE API 2.0)
- Product
- AI / LLM tooling
- CVSS
- 3.1
- Exposure class
- AI infrastructure
Why it ranks 5 (Routine)
- Product class: AI infrastructure
- 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-2026-105752 on this site · NVD · CVE.org · Vulnpedia
Related coverage
Other items that share a CVE or were clustered with this one.