{"schemaVersion":3,"id":"CVE-2026-47155","aliases":["GHSA-3ww4-5jv9-j5gm","PYSEC-2026-2301","CGA-39fw-p25g-vg2m","CGA-4w4g-87pf-ccp6","CGA-58pr-frmc-xh6q","CGA-62p5-mg23-6vj8","CGA-94h2-x96p-26g5","CGA-cv9v-3fq6-3xm5","CGA-g6hx-4hmp-c62h","CGA-grm3-v5mq-x854","CGA-jjrm-r6rx-3468","CGA-mcg8-8cqw-cr45","CGA-p6qv-rf7v-x5hj","CGA-q9p3-xj75-w4v6","CGA-v2rv-hxpm-3rgc","CGA-wvqc-pfm7-53c4"],"status":"published","duplicateOf":null,"title":null,"description":"vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.0, vLLM's revision pinning controls do not consistently apply to all artifacts loaded for a model. A deployment that supplies --revision or --code-revision can still load dynamic code, GGUF files, image processors, retrieval side weights, or same-repository subfolder weights/config from an unpinned/default revision. This is a supply-chain integrity issue for pinned vLLM deployments. Operators can believe they are serving a reviewed model revision while vLLM resolves behavior-affecting nested or sibling artifacts outside that reviewed revision. 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