{"id":"CVE-2026-105752","title":"vLLM is an inference and serving engine for large language models","summary":"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, pl…","severity":"low","cvss":3.1,"cvssVector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:N","cwe":["CWE-200","CWE-524"],"vendor":"vllm","product":"vllm","affected":["vllm < 0.30.0"],"patched":["vllm 0.30.0"],"published":"2026-10-05","updated":"2026-10-08","sourceUpdated":"2026-10-08T01:29:51.587","source":"NVD","sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2026-105752","references":[{"url":"https://github.com/vllm-project/vllm/commit/6a2a2bb02b563b83f946012959fd3927984d072a","label":"security-advisories@github.com"},{"url":"https://github.com/vllm-project/vllm/pull/50195","label":"security-advisories@github.com"},{"url":"https://github.com/vllm-project/vllm/pull/51818","label":"security-advisories@github.com"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.30.0","label":"security-advisories@github.com"},{"url":"https://github.com/vllm-project/vllm/security/advisories/GHSA-935w-9g4m-p28p","label":"security-advisories@github.com"},{"url":"https://github.com/advisories/GHSA-935w-9g4m-p28p"},{"url":"https://github.com/vllm-project/vllm"},{"url":"https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-105752.json"},{"url":"https://access.redhat.com/security/cve/CVE-2026-105752"},{"url":"https://bugzilla.redhat.com/show_bug.cgi?id=2546178"},{"url":"https://www.cve.org/CVERecord?id=CVE-2026-105752"},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2026-105752"},{"url":"https://pypi.org/project/vllm"}],"tags":["nvd","cve.org","ghsa","pip","osv","csaf","vex","red-hat"],"epss":0.00216,"epssPercentile":0.12015,"aliases":["GHSA-935w-9g4m-p28p","PYSEC-2026-4308"],"ecosystem":"pip","ssvc":{"exploitation":"none","automatable":"no","technicalImpact":"partial","timestamp":"2026-10-06T14:34:12.970594Z"},"ingestedAt":"2026-10-05T23:36:21.155Z","slug":"CVE-2026-105752","body":"## Overview\n\nvLLM 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 was previously processed, defeating the intended tenant isolation of salted prefix caching. This issue is fixed in version 0.30.0.\n\n## Affected\n\n- `vllm < 0.30.0`\n\n## Remediation\n\nUpgrade past the affected range:\n\n- `vllm 0.30.0`\n\n## Package advisory (CVE-2026-105752)\n\nAffected packages:\n\n- `vllm < 0.30.0`\n\nPatched in:\n\n- `vllm 0.30.0`\n\nSource: https://github.com/advisories/GHSA-935w-9g4m-p28p\n\n## Vendor advisories\n\n- **Red Hat VEX** · Low · affected: Red Hat AI Inference Server, Red Hat Enterprise Linux AI (RHEL AI) 3, Red Hat OpenShift AI (RHOAI) · no fix planned: Red Hat AI Inference Server, Red Hat Enterprise Linux AI (RHEL AI) 3, Red Hat OpenShift AI (RHOAI) · updated 2026-10-06 · [vex](https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-105752.json)","depth":"sunlit","depthScore":17,"depthScoreParts":{"impact":17.1,"likelihood":0,"exploitation":0,"ransomware":0},"changes":[]}