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CVE
added 10 hours ago8 views

CVE-2026-10800

The CVE-2026-10800 entry concerns PaddlePaddle FastDeploy up to 2.4.1, specifically the MultimodalHasher component’s hasher.py hash_features function. The weakness can allow manipulation that leads to the use of a weak hash, with exploitation requiring local access and carries a high attack compl...

3.6CVSS5.2AI score
Exploits0References8
ATTACKERKB
ATTACKERKB
added 10 hours ago1 views

CVE-2026-10800

A weakness has been identified in PaddlePaddle FastDeploy up to 2.4.1. Affected by this issue is the function hashfeatures of the file fastdeploy/multimodal/hasher.py of the component MultimodalHasher. Executing a manipulation can lead to use of weak hash. The attack requires local access. A high...

3.6CVSS5.2AI score
Exploits0References9Affected Software1
EUVD
EUVD
added 2025/10/03 8:7 p.m.1 views

EUVD-2025-16188

Malicious code in bioql PyPI...

7.3CVSS6.3AI score0.00231EPSS
Exploits0References6
Cvelist
Cvelist
added 2025/05/29 4:36 p.m.15 views

CVE-2025-46722 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...

4.2CVSS0.00231EPSS
Exploits0References3
Github Security Blog
Github Security Blog
added 2025/05/28 6:3 p.m.12 views

vLLM has a Weakness in MultiModalHasher Image Hashing Implementation

Summary 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...

7.3CVSS6.6AI score0.00231EPSS
Exploits0References6Affected Software1
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