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...

CVE-2023-30059: Authorization Bypass Through User-Controlled Key

An insecure direct object reference in MK-Auth 23.01K4.9 allows attackers to access and send support calls for other users via manipulation of the chamado parameter through a crafted GET request...

Pandora FMS security vulnerabilities

Pandora FMS is a monitoring system developed by the American company Pandora FMS. This system provides visual monitoring of networks, servers, virtual infrastructure, and applications. There are security vulnerabilities in the 777 to 800 version of Pandora FMS. These vulnerabilities stem from...

CVE-2026-31235

The imgaug library, versions 0.4.0 and earlier , is vulnerable to an insecure deserialization flaw in the BackgroundAugmenter class within the multicore.py module. The vulnerability exists because the _augment_images_worker() method uses Python's pickle module to deserialize data from a multiproc...

CVE-2026-31218

The optimate project, an AI model optimization tool library developed by Nebuly, contains an insecure deserialization vulnerability (CWE-502) in the _load_model() function of the neural_magic_training.py script (commit a6d302f912b481c94370811af6b11402f51d377f). The root cause is the failure to en...

CVE-2026-31229

The Adversarial Robustness Toolbox (ART) versions thru 1.20.1 are vulnerable to an insecure deserialization (CWE-502) flaw within the Kubeflow component 's model loading functionality. The root cause is the use of torch.load() to process model weights (e.g., model.pt) without the security-restric...

CVE-2026-31219

The optimate project, an AI model optimization tool library by Nebuly, contains an insecure deserialization (CWE-502) vulnerability in the _load_model() function of the neural_magic_training.py script (commit a6d302f912b481c94370811af6b11402f51d377f). The issue occurs because the function uses to...

CVE-2026-31224

The snorkel library (versions through v0.10.0 ) contains an insecure deserialization vulnerability (CWE-502) within the MultitaskClassifier.load() method of the MultitaskClassifier class. The flaw exists because the method utilizes torch.load() to load model weight files without enabling the secu...

CVE-2026-31237

The Ludwig framework (versions through 0.10.4 ) is vulnerable to insecure deserialization (CWE-502) within its predict() method. The issue occurs because the framework automatically identifies dataset file formats and uses pandas.read_pickle() to load .pkl files without any validation or security...

CVE-2026-31214

The torch-checkpoint-shrink.py script within the ml-engineering project (specifically commit 0099885db36a8f06556efe1faf552518852cb1e0) is vulnerable to insecure deserialization (CWE-502). The script utilizes torch.load() to process PyTorch checkpoint files (.pt) without enabling the security-rest...

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-2026-31234

Horovod versions up to and including 0.28.1 are vulnerable to an insecure deserialization (CWE-502) flaw within its KVStore HTTP server component. The KVStore server, utilized for distributed task coordination, lacks necessary authentication and authorization controls, which enables a remote atta...

CVE-2026-31232

The CosyVoice project (up to commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e) is vulnerable to an insecure deserialization (CWE-502) flaw during its model loading process. The application uses torch.load() to process .pt model files from a user-specified directory (via the --model_dir argument) w...

CVE-2023-30059

MK-Auth version 23.01K4.9 , a Brazilian internet service provider management system, contains an Insecure Direct Object Reference (IDOR) vulnerability. An attacker can manipulate the chamado parameter via a crafted GET request to access and send support calls for other users. No specific remediat...

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-2026-39995

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...

CVE-2026-7257: Insecure Storage of Sensitive Information

UNSUPPORTED WHEN ASSIGNED An insecure storage of sensitive information vulnerability in the configuration file of Zyxel WRE6505 v2 firmware version V1.00ABDV.3C0 could allow a local attacker with administrator privileges to download and decrypt a backup configuration file...

Snorkel security vulnerability

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...

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...

CVE-2026-31223

The snorkel library thru v0.10.0 contains a critical insecure deserialization vulnerability CWE-502 in the BaseLabeler.load method of the BaseLabeler class. The method loads serialized labeler models using the unsafe pickle.load function on user-supplied file paths without any validation or...