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CVE-2026-47155

MEDIUM
6.5
CVSS 3.1
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. This vulnerability is fixed in 0.22.0.

Metadata

CVE ID
CVE-2026-47155
State
PUBLISHED
Assigner
GitHub_M
Reserved
2026-05-18 21:25 UTC
Published
2026-06-22 22:20 UTC
Last updated
2026-06-22 22:20 UTC
Primary CWE
CWE-345
CWE-345: Insufficient Verification of Data Authenticity
Vendor / Product
vllm-project / vllm
Sources
cve.org  ·  NVD

Severity & Metrics

6.5 MEDIUM CVSS 3.1
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:H/A:N
Affected products (1)
VendorProductPlatformVersions
vllm-project vllm < 0.22.0
Weakness (CWE)
CWESourceDescription
CWE-345 cna CWE-345: Insufficient Verification of Data Authenticity
CVSS scores (1)
ScoreSeverityVersionSourceVector
6.5 MEDIUM 3.1 cna CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:H/A:N
References (4)
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