GHSA-c65p-x677-fgj6 · Severity: medium · Ecosystem: pip — vLLM has a Weakness in MultiModalHasher Image Hashing Implementation
vLLM is an inference and serving engine for large language models (LLMs). In versions starting from 0.7.0 to before 0.9.0, in the file vllm/multimodal/hasher.py, the MultiModalHasher class has a security and data integrity issue in its image hashing method. Currently, it serializes PIL.Image.Image objects using only obj.tobytes(), which returns only the raw pixel data, without including metadata such as the image’s shape (width, height, mode). As a result, two images of different sizes (e.g., 30x100 and 100x30) with the same pixel byte sequence could generate the same hash value. This may lead to hash collisions, incorrect cache hits, and even data leakage or security risks. This issue has been patched in version 0.9.0.
Conclusion & alert: CVE-2025-46722 is rated Low Risk (22.8/100): CVSS Medium severity, with low exploitation likelihood (EPSS 0.26%). Mandatory action: Monitor for updates and reassess as exploit intelligence or EPSS changes.
Risk is dynamic; we continuously reassess and refresh what is shown on this page as upstream context changes.
EPSS lead: Daily EPSS estimates relative likelihood of exploitation; percentile ranks this CVE among scored vulnerabilities (higher = more severe relative rank).
| # | Date | Old EPSS score | New EPSS score | Delta (New - Old) |
|---|---|---|---|---|
| 1 | 2026-06-15 | 0.23% | 0.26% | +0.03% |
| 2 | 2026-03-25 | 0.05% | 0.23% | +0.18% |
| 3 | 2025-05-30 | — | 0.05% | — |
Full EPSS history (3 records total)
CVSS metrics for this CVE.
| Base score | Version | Severity | Vector | Exploitability | Impact | Score source |
|---|---|---|---|---|---|---|
| 4.2 | 3.1 | MEDIUM |
|
1.6 | 2.5 | [email protected] |
| 7.3 | 3.1 | HIGH |
|
3.9 | 3.4 | [email protected] |
GHSA-c65p-x677-fgj6 · Severity: medium · Ecosystem: pip — vLLM has a Weakness in MultiModalHasher Image Hashing Implementation
| vendor | priority | summary | link |
|---|---|---|---|
redhat
|
medium | — | https://access.redhat.com/security/cve/CVE-2025-46722 |
| URL | Tags |
|---|---|
| https://github.com/vllm-project/vllm/commit/99404f53c72965b41558aceb1bc2380875f5d848 | Patch |
| https://github.com/vllm-project/vllm/pull/17378 | Issue Tracking Patch |
| https://github.com/vllm-project/vllm/security/advisories/GHSA-c65p-x677-fgj6 | Vendor Advisory |