CVE-2025-46722: vLLM is an inference and serving engine for large language models (LLMs). In versions starting from 0.7.0 to before 0.9.
Summary
vLLM (a system for running large language models) versions 0.7.0 through 0.8.x have a bug in how they create hash values (fingerprints) for images. The hashing method only looks at the raw pixel data and ignores important image properties like width and height, so two different-sized images with the same pixels would create identical hash values. This can cause the system to incorrectly reuse cached results or expose data it shouldn't.
Solution / Mitigation
This issue has been patched in version 0.9.0.
Vulnerability Details
4.2(medium)
EPSS: 0.1%
Classification
Affected Vendors
Related Issues
CVE-2025-45150: Insecure permissions in LangChain-ChatGLM-Webui commit ef829 allows attackers to arbitrarily view and download sensitive
CVE-2025-54868: LibreChat is a ChatGPT clone with additional features. In versions 0.0.6 through 0.7.7-rc1, an exposed testing endpoint
Original source: https://nvd.nist.gov/vuln/detail/CVE-2025-46722
First tracked: February 15, 2026 at 08:44 PM
Classified by LLM (prompt v3) · confidence: 92%