Adversarial Robustness Toolbox 安全漏洞

Adversarial Robustness Toolbox is an open-source machine learning security defense and evaluation tool developed by Trusted-AI. Versions of Adversarial Robustness Toolbox 1.20.1 and earlier contained security vulnerabilities. These vulnerabilities stemmed from the model loading function in the...

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-2026-31232

CVE-2026-31232 affects the CosyVoice project; insecure deserialization (CWE-502) in model loading via --model_dir allows loading .pt files with pickle payloads. torch.load() is called without weights_only=True, enabling arbitrary Python object deserialization and remote code execution when a vict...

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...

Schneider Electric EcoStruxure Panel Server 安全漏洞

Schneider Electric EcoStruxure Panel Server is an IoT gateway developed by Schneider Electric of France, used for data collection and uploading. Schneider Electric EcoStruxure Panel Server has a security vulnerability that stems from the use of insecure default values during resource...

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-2026-39995

Prior to 2025-11-03, well-intended users of Terraform or REST API for Google Cloud AlloyDB for PostgreSQL could have created clusters with an insecure default password which could have been exploited by a remote attacker to gain full administrative access to the database. Exploitation required...

Mk-Auth 安全漏洞

Mk-Auth is a Brazilian internet service provider management system developed by Mk-Auth company. It is used to control client access and permissions through a network interface panel. Version 23.01K4.9 of MK-Auth contains a security vulnerability caused by insecure direct object references. This...

PT-2026-40049

Insecure Default Initialization of Resource vulnerability allows Authentication Bypass via API access. This issue affects Pandora FMS: from 777 through 800...

Google Cloud AlloyDB for PostgreSQL 安全漏洞

Google Cloud AlloyDB for PostgreSQL is a cloud-native, high-performance relational database service from Google Inc. That service is compatible with PostgreSQL. Versions of Google Cloud AlloyDB for PostgreSQL prior to 2025-11-03 contained a security vulnerability. This vulnerability stemmed from...

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-2026-31239

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-2026-31229

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...

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...

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.loadfromcheckpoint method, which is commonly used to load saved model states, internally calls torch.load without setting the...

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-2026-31238

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...