Snorkel Trainer.load uses an unsafe torch.load

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

PT-2026-59510

Summary This is a scanning bypass to scan pytorch function in picklescan. As we can see in the implementation of get magic number that uses pickletools.genopsdata to get the magic number with the condition opcode.name includes INT or LONG, but the PyTorch's implemtation simply uses pickle...

EUVD-2026-29503

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-2026-31218

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-2026-31239

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...

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...

GHSA-9PF3-7RRR-X5JH lmdeploy vulnerable to Arbitrary Code Execution via Insecure Deserialization in torch.load()

Summary 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 arbitrary code on the victim's machine when they load a malicious .bin or .pt model file...

lmdeploy vulnerable to Arbitrary Code Execution via Insecure Deserialization in torch.load()

Summary 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 arbitrary code on the victim's machine when they load a malicious .bin or .pt model file...

EUVD-2025-29521

Malicious code in bioql PyPI...

Picklescan is missing detection when calling pytorch function torch.utils._config_module.load_config

Summary Using torch.utils.configmodule.loadconfig function, which is a pytorch library function to execute remote pickle file. Details The attack payload executes in the following steps: First, the attacker crafts the payload by calling the torch.utils.configmodule.loadconfig function via the...

GHSA-VV6J-3G6G-2PVJ Picklescan is missing detection when calling pytorch function torch.utils._config_module.load_config

Summary Using torch.utils.configmodule.loadconfig function, which is a pytorch library function to execute remote pickle file. Details The attack payload executes in the following steps: First, the attacker crafts the payload by calling the torch.utils.configmodule.loadconfig function via the...