CVE-2025-46722
HIGH EPSS 18.2%
Published May 29, 20251y ago · Modified Jun 17, 20262w ago
7.3 CVSS 3.1
Published May 29, 2025 1y ago
Last Modified Jun 17, 2026 2w ago
Description
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.
CVSS Details
Base Score
Exploitability
Impact
Vector string
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L Attack Vector Network
Attack Complexity Low
Privileges Required None
User Interaction None
Scope Unchanged
Confidentiality Low
Integrity Low
Availability Low
Threat Intelligence
EPSS Exploit Probability
18.2% percentile
Exploit & Patch Status
No Known Exploit
Patch Available
Weaknesses 2
CWE-1023
CWE-1288
Affected Products 1
| Vendor | Product | Version | Range |
|---|---|---|---|
| vllm | vllm | * | ≥0.7.0 – <0.9.0 |
References 3
- github.com https://github.com/vllm-project/vllm/commit/99404f53c72965b41558aceb1bc2380875f5d848
- github.com https://github.com/vllm-project/vllm/pull/17378
- github.com https://github.com/vllm-project/vllm/security/advisories/GHSA-c65p-x677-fgj6
Remediation
- github.com https://github.com/vllm-project/vllm/commit/99404f53c72965b41558aceb1bc2380875f5d848
- github.com https://github.com/vllm-project/vllm/pull/17378