13570 matches found
PT-2026-40058
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 a user provides a single model file path e.g., .pt or .pth via the --model command-line...
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-2026-31229
The ART (Adversarial Robustness Toolbox) package up to v1.20.1 contains an insecure deserialization vulnerability in its Kubeflow component’s model loading path. Loading model weights (e.g., model.pt) uses torch.load() without weights_only=True, allowing arbitrary Python object deserialization vi...
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...
Reconstruction of Personally Identifiable Information from Supervised Finetuned Models
Supervised Finetuning SFT has become one of the primary methods for adapting a large language model LLM with extensive pre-trained knowledge to domain-specific, instruction-following tasks. SFT datasets, composed of instruction-response pairs, often include user-provided information that may...
CVE-2026-31222
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...
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...
OptiMate 安全漏洞
OptiMate is an AI model optimization tool library developed by Nebuly. There is a security vulnerability in OptiMate. This vulnerability stems from the loadmodel function in the neuralmagictraining.py script, which loads model files using torch.load, without enabling the weightsonly=True paramete...
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...
CVE-2026-31228
The connected documents confirm a vulnerability in the Adversarial Robustness Toolbox (ART) up to version 1.20.1, specifically in its Kubeflow component. The root cause is that the robustness evaluation function for PyTorch models uses Python’s unsafe eval() to dynamically evaluate user-supplied ...
PT-2026-40125
Name of the Vulnerable Software and Affected Versions Ludwig framework versions prior to 0.10.5 Description The model serving component is subject to insecure deserialization. When initiating a model server via the ludwig serve command, the framework utilizes the torch.load function to load model...
CVE-2026-31219
The connected documents confirm a concrete vulnerability in the optimate project: the _load_model() (or load_model()) function in neural_magic_training.py deserializes a single model file passed via --model using torch.load() without weights_only=True, enabling arbitrary Python object deserializa...
Mamba 安全漏洞
Mamba is a state-space model for linear time series modeling, open-sourced by State-Spaces. Versions of Mamba 2.2.6 and earlier contained security vulnerabilities. These vulnerabilities stemmed from the MambaLMHeadModel.frompretrained method, which used torch.load to load weight files without...
PT-2026-40116
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...
CosyVoice 安全漏洞
CosyVoice is an open-source voice generation and AI voice cloning platform developed by FunAudioLLM. CosyVoice has a security vulnerability. This vulnerability arises from the model loading process, where the .pt files in the user-specified directory are loaded using torch.load, without enabling...
CVE-2026-31222
The Snorkel library prior to v0.10.0 contains an insecure deserialization vulnerability (CWE-502) in Trainer.load(), where model checkpoints are loaded with torch.load() without weights_only=True. This allows deserialization of arbitrary Python objects via Pickle, enabling remote code execution w...
CVE-2026-31236
The llm CLI tool thru 0.27.1 contains a critical code injection vulnerability via its --functions command-line argument. This argument is intended to allow users to provide custom Python function definitions. However, the tool directly executes the provided code using the unsafe exec function...
MINI-GQ35-RX9M-X369
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