Snorkel 安全漏洞

Snorkel is an open-source system developed by Snorkel that uses weak supervision to quickly generate training data. Versions of Snorkel prior to v0.10.0 contain security vulnerabilities. These vulnerabilities stem from the Trainer class’s Trainer.load method, which uses torch.load to load model...

WordPress plugin BJ Lazy Load 跨站脚本漏洞

WordPress and WordPress plugins are both products of the WordPress Foundation. WordPress is a blog platform developed using the PHP language. This platform allows for the creation of personal blog websites on servers based on PHP and MySQL. A WordPress plugin is an application that can be install...

CVE-2026-31214

The torch-checkpoint-shrink.py script in the ml-engineering project in commit 0099885db36a8f06556efe1faf552518852cb1e0 2025-20-27 contains an insecure deserialization vulnerability CWE-502. The script uses torch.load to process PyTorch checkpoint files .pt without enabling the security-restrictiv...

PT-2026-40061

Name of the Vulnerable Software and Affected Versions snorkel versions prior to 0.10.1 Description Insecure deserialization occurs in the Trainer.load method of the Trainer class. The method utilizes torch.load to load model checkpoint files without enabling the weights only=True parameter. This...

CVE-2026-31218

The CVE concerns the optimate project’s neural_magic_training.py, where _load_model() deserializes a state_dict.pt with torch.load() without enabling weights_only=True. This enables deserialization of arbitrary Python objects via Pickle, allowing a remote attacker to provide a crafted state_dict....

CVE-2026-31219

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 a user provides a single model file path e.g., .pt or .pth via the --model command-line argumen...

PT-2026-40314

Pillow is a Python imaging library. From version 4.2.0 to before version 12.2.0, an attacker can supply a malicious PDF that causes the process to hang indefinitely, consuming 100% CPU and making the application unresponsive. This issue has been patched in version 12.2.0...

CVE-2026-31221

PyTorch-Lightning versions 2.6.0 and earlier contain an insecure deserialization vulnerability (CWE-502) in the checkpoint loading mechanism. The LightningModule.load_from_checkpoint() (and related checkpoint loading paths) call torch.load() without weights_only=True, allowing deserialization of ...

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...

CVE-2026-31219

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 a user provides a single model file path e.g., .pt or .pth via the --model command-line argumen...

CVE-2026-31214

The torch-checkpoint-shrink.py script in the ml-engineering project in commit 0099885db36a8f06556efe1faf552518852cb1e0 2025-20-27 contains an insecure deserialization vulnerability CWE-502. The script uses torch.load to process PyTorch checkpoint files .pt without enabling the security-restrictiv...

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...

CVE-2026-31217

The loadmodel function in the neuralmagictraining.py script of the optimate project in commit a6d302f912b481c94370811af6b11402f51d377f 2024-07-21 allows arbitrary code execution. When a user supplies a directory path via the --model command-line argument, the function reads a module.py file from...

CVE-2026-31239

The CVE-2026-31239 entry concerns the Mamba language model framework up to version 2.2.6. The issue is insecure deserialization (CWE-502) when loading pre-trained models from HuggingFace Hub. The MambaLMHeadModel.from_pretrained() method uses torch.load() to load the pytorch_model.bin weight file...

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...

PT-2026-40062

Name of the Vulnerable Software and Affected Versions snorkel versions prior to 0.10.1 Description Insecure deserialization occurs in the BaseLabeler.load method of the BaseLabeler class. The method utilizes the pickle.load function to load serialized labeler models from user-supplied file paths...

PT-2026-40063

Name of the Vulnerable Software and Affected Versions snorkel versions prior to 0.10.1 Description Insecure deserialization occurs in the MultitaskClassifier.load method of the MultitaskClassifier class. The method utilizes torch.load to load model weight files without enabling the weights...

Snorkel 安全漏洞

Snorkel is an open-source system developed by Snorkel that enables rapid generation of training data using weak supervision. Versions of Snorkel prior to v0.10.0 contain security vulnerabilities. These vulnerabilities stem from the MultitaskClassifier class’s MultitaskClassifier.load method, whic...

CVE-2026-31224

The CVE-2026-31224 entry concerns the snorkel library up to v0.10.0, where the MultitaskClassifier.load() method deserializes model weights with torch.load() without enabling weights_only=True. This allows untrusted Pickle-based object deserialization, enabling arbitrary code execution when loadi...

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...