PT-2026-53489

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.from pretrained method uses torch.load to load the pytorch model.bin weight file without enabling the security-restrictive...

PT-2026-53488

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 weights only=True...

CVE-2025-71370

picklescan before 0.0.28 fails to detect malicious torch.jit.unsupportedtensorops.execWrapper function calls embedded in pickle files. Attackers can craft malicious pickle files that bypass picklescan detection and execute arbitrary code when loaded via pickle.load...

CVE-2025-71370 picklescan - Remote Code Execution via torch.jit.unsupported_tensor_ops.execWrapper

picklescan before 0.0.28 fails to detect malicious torch.jit.unsupportedtensorops.execWrapper function calls embedded in pickle files. Attackers can craft malicious pickle files that bypass picklescan detection and execute arbitrary code when loaded via pickle.load...

EUVD-2025-210307

picklescan before 0.0.28 fails to detect malicious torch.jit.unsupportedtensorops.execWrapper function calls embedded in pickle files. Attackers can craft malicious pickle files that bypass picklescan detection and execute arbitrary code when loaded via pickle.load...

CVE-2025-71370

picklescan before 0.0.28 fails to detect malicious torch.jit.unsupportedtensorops.execWrapper function calls embedded in pickle files. Attackers can craft malicious pickle files that bypass picklescan detection and execute arbitrary code when loaded via pickle.load...

CVE-2025-71370

Vulnerability summary (CVE-2025-71370): picklescan before 0.0.28 fails to detect malicious torch.jit.unsupported_tensor_ops.execWrapper function calls embedded in pickle files. Attackers can craft malicious pickle files that bypass picklescan detection and execute arbitrary code when loaded via p...

CVE-2025-71370 picklescan - Remote Code Execution via torch.jit.unsupported_tensor_ops.execWrapper

picklescan before 0.0.28 fails to detect malicious torch.jit.unsupportedtensorops.execWrapper function calls embedded in pickle files. Attackers can craft malicious pickle files that bypass picklescan detection and execute arbitrary code when loaded via pickle.load...

Duplicate Advisory: Picklescan missing detection when calling pytorch function torch.utils._config_module.load_config

Duplicate Advisory This advisory has been withdrawn because it is a duplicate of GHSA-vv6j-3g6g-2pvj. This link is maintained to preserve external references. Original Description picklescan before 0.0.28 fails to detect malicious pickle files that invoke torch.utils.configmodule.loadconfig...

GHSA-QVP4-Q2P5-22GG Duplicate Advisory: Picklescan missing detection when calling pytorch function torch.utils._config_module.load_config

Duplicate Advisory This advisory has been withdrawn because it is a duplicate of GHSA-vv6j-3g6g-2pvj. This link is maintained to preserve external references. Original Description picklescan before 0.0.28 fails to detect malicious pickle files that invoke torch.utils.configmodule.loadconfig...

CVE-2025-71348 picklescan - Arbitrary Code Execution via torch.utils._config_module.load_config Bypass

picklescan before 0.0.28 fails to detect malicious pickle files that invoke torch.utils.configmodule.loadconfig function within reduce methods. Attackers can craft pickle files embedding arbitrary code that evades detection but executes during pickle.load, enabling remote code execution in supply...

EUVD-2025-210291

picklescan before 0.0.28 fails to detect malicious pickle files that invoke torch.utils.configmodule.loadconfig function within reduce methods. Attackers can craft pickle files embedding arbitrary code that evades detection but executes during pickle.load, enabling remote code execution in supply...

GHSA-CC5P-54X3-HCF8 Duplicate Advisory: Picklescan (scan_pytorch) Bypass via dynamic eval MAGIC_NUMBER

Duplicate Advisory This advisory has been withdrawn because it is a duplicate of GHSA-97f8-7cmv-76j2. This link is maintained to preserve external references. Original Description picklescan before 1.0.3 contains a scanning bypass vulnerability in the scanpytorch function that allows attackers to...

CVE-2026-53875

picklescan before 1.0.3 contains a scanning bypass vulnerability in the scanpytorch function that allows attackers to embed malicious magic numbers via dynamic eval using the reduce trick. Attackers can craft malicious PyTorch payloads that evade picklescan detection while remaining executable,...

CVE-2026-11329

A vulnerability has been found in onnx onnx-mlir up to 0.5.0.0. Affected by this issue is the function generatehashkey of the file src/Runtime/python/torchonnxmlir/src/torchonnxmlir/backend.py of the component Placeholder Node Cache Handler. Such manipulation leads to use of weak hash. An attack...

CVE-2026-38950

An issue in ESA AnomalyMatch before 1.3.1 allow attackers to execute arbitrary code via crafted model checkpoint files. The affected components load model files from session directories using torch.load with unrestricted deserialization...

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-2026-38950

An issue in ESA AnomalyMatch before 1.3.1 allow attackers to execute arbitrary code via crafted model checkpoint files. The affected components load model files from session directories using torch.load with unrestricted deserialization...

CVE-2026-38950

An issue in ESA AnomalyMatch before 1.3.1 allow attackers to execute arbitrary code via crafted model checkpoint files. The affected components load model files from session directories using torch.load with unrestricted deserialization...

CVE-2026-38950

The ESA AnomalyMatch image anomaly detection tool, in versions prior to 1.3.1 , is vulnerable to arbitrary code execution. The root cause is the use of torch.load() to load model files from session directories without proper deserialization protection, allowing for unrestricted deserialization of...