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RedhatCVE•added 2026/06/05 7:48 p.m.•10 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...

3.6CVSS4.8AI score0.00075EPSS

Exploits0References1

NVD•added 2026/06/04 10:16 a.m.•13 views

CVE-2026-10800

3.6CVSS0.00075EPSS

Exploits0References8

Cvelist•added 2026/06/04 9:45 a.m.•39 views

CVE-2026-10800 PaddlePaddle FastDeploy MultimodalHasher hasher.py hash_features weak hash

3.6CVSS0.00075EPSS

Exploits0References8

ATTACKERKB•added 2026/06/04 9:45 a.m.•7 views

CVE-2026-10800

3.6CVSS5.2AI score0.00075EPSS

Exploits0References9Affected Software1

Vulnrichment•added 2026/06/04 9:45 a.m.•8 views

CVE-2026-10800 PaddlePaddle FastDeploy MultimodalHasher hasher.py hash_features weak hash

3.6CVSS5.2AI score0.00075EPSS

Exploits0References8

CVE•added 2026/06/04 9:45 a.m.•18 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 score0.00075EPSS

Exploits0References8

Positive Technologies•added 2026/06/04 12:0 a.m.•18 views

PT-2026-46167

A weakness has been identified in PaddlePaddle FastDeploy up to 2.4.1. Affected by this issue is the function hash features 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 hig...

3.6CVSS5.2AI score0.00075EPSS

Exploits0References9

Packet Storm News•added 2026/02/10 12:0 a.m.•6 views

GPU-Fuzz: Finding Memory Errors in Deep Learning Frameworks

GPU memory errors are a critical threat to deep learning DL frameworks, leading to crashes or even security issues. We introduce GPU-Fuzz, a fuzzer locating these issues efficiently by modeling operator parameters as formal constraints. GPU-Fuzz utilizes a constraint solver to generate test cases...

5.6AI score

Exploits0