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RedhatCVE
RedhatCVE
added 2026/06/05 7:45 p.m.7 views

CVE-2026-31229

The Adversarial Robustness Toolbox ART thru 1.20.1 contains an insecure deserialization vulnerability CWE-502 in its Kubeflow component's model loading functionality. When loading model weights from a file e.g., model.pt during robustness evaluation, the code uses torch.load without the...

9.8CVSS6.1AI score0.006EPSS
Exploits0References1
RedhatCVE
RedhatCVE
added 2026/06/05 7:45 p.m.7 views

CVE-2026-31224

The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability CWE-502 in the MultitaskClassifier.load method of the MultitaskClassifier class. The method loads model weight files using torch.load without enabling the security-restrictive weightsonly=True parameter. This...

8.8CVSS6.3AI score0.00392EPSS
Exploits0References1
RedhatCVE
RedhatCVE
added 2026/05/12 8:21 p.m.11 views

CVE-2026-31249

CosyVoice thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e 2025-30-21 contains an insecure deserialization vulnerability CWE-502 in its makeparquetlist.py data processing tool. The script loads PyTorch .pt files utterance embeddings, speaker embeddings, speech tokens using torch.load without...

7.3CVSS6.1AI score0.0021EPSS
Exploits0References1
OSV
OSV
added 2026/05/12 6:30 p.m.5 views

GHSA-XP5Q-5Q7G-Q26R Ludwig framework is vulnerable to insecure deserialization in its model serving component

The Ludwig framework thru 0.10.4 is vulnerable to insecure deserialization CWE-502 in its model serving component. When starting a model server with the ludwig serve command, the framework loads model weight files using torch.load without enabling the security-restrictive weightsonly=True...

9.8CVSS6.3AI score0.00497EPSS
Exploits0References3
NVD
NVD
added 2026/05/12 6:16 p.m.5 views

CVE-2026-31238

The Ludwig framework thru 0.10.4 is vulnerable to insecure deserialization CWE-502 in its model serving component. When starting a model server with the ludwig serve command, the framework loads model weight files using torch.load without enabling the security-restrictive weightsonly=True...

9.8CVSS0.00497EPSS
Exploits0References2
NVD
NVD
added 2026/05/12 6:16 p.m.8 views

CVE-2026-31239

The mamba language model framework thru 2.2.6 is vulnerable to insecure deserialization CWE-502 when loading pre-trained models from HuggingFace Hub. The MambaLMHeadModel.frompretrained method uses torch.load to load the pytorchmodel.bin weight file without enabling the security-restrictive...

9.8CVSS0.00409EPSS
Exploits0References2
NVD
NVD
added 2026/05/12 4:16 p.m.6 views

CVE-2026-31218

The loadmodel function in the neuralmagictraining.py script of the optimate project in commit a6d302f912b481c94370811af6b11402f51d377f 2024-07-21 is vulnerable to insecure deserialization CWE-502. When loading a model state dictionary from a statedict.pt file via torch.load, the function does not...

8.8CVSS0.00559EPSS
Exploits0References2
Positive Technologies
Positive Technologies
added 2026/05/12 12:0 a.m.9 views

PT-2026-40057

The load model function in the neural magic training.py script of the optimate project in commit a6d302f912b481c94370811af6b11402f51d377f 2024-07-21 is vulnerable to insecure deserialization CWE-502. When loading a model state dictionary from a state dict.pt file via torch.load, the function does...

6.3AI score0.00559EPSS
Exploits0References3
EUVD
EUVD
added 2026/05/11 6:31 p.m.8 views

EUVD-2026-29097

CosyVoice thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e 2025-30-21 contains an insecure deserialization vulnerability CWE-502 in its averagemodel.py model averaging tool. The script loads PyTorch checkpoint files epoch.pt for model averaging using torch.load without enabling the...

6.1AI score0.00222EPSS
Exploits0References3
Vulnrichment
Vulnrichment
added 2025/12/26 9:54 p.m.2 views

CVE-2025-67729 lmdeploy vulnerable to Arbitrary Code Execution via Insecure Deserialization in torch.load()

LMDeploy is a toolkit for compressing, deploying, and serving LLMs. Prior to version 0.11.1, an insecure deserialization vulnerability exists in lmdeploy where torch.load is called without the weightsonly=True parameter when loading model checkpoint files. This allows an attacker to execute...

8.8CVSS9.4AI score0.00487EPSS
Exploits0References2
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