114 matches found
CVE-2026-31221
A flaw was found in PyTorch-Lightning. This vulnerability, categorized as insecure deserialization CWE-502, exists in the checkpoint loading mechanism. A remote attacker can exploit this by providing a maliciously crafted checkpoint file, which, when loaded by the LightningModule.loadfromcheckpoi...
CVE-2026-58659
A flaw was found in PyTorch Lightning. This vulnerability allows attackers to achieve remote code execution by crafting malicious checkpoint files. These files exploit a weakness in the loadstate function, which imports and executes attacker-controlled module names from checkpoint instantiator...
CVE-2026-58659
PyTorch Lightning through 2.6.5, fixed in commit d710d68, contains a remote code execution vulnerability in the loadstate function that imports and executes attacker-controlled module names from checkpoint instantiator hyperparameters. Attackers can craft malicious checkpoint files that bypass...
CVE-2026-58659
PyTorch Lightning through 2.6.5, fixed in commit d710d68, contains a remote code execution vulnerability in the loadstate function that imports and executes attacker-controlled module names from checkpoint instantiator hyperparameters. Attackers can craft malicious checkpoint files that bypass...
CVE-2026-58659
Summary: CVE-2026-58659 affects PyTorch Lightning up to version 2.6.5. The vulnerability lies in the _load_state function, which can import and execute attacker-controlled module names from the checkpoint _instantiator hyperparameters, enabling remote code execution when LightningModule.load_from...
CVE-2026-58659 PyTorch Lightning Arbitrary Code Execution via _instantiator Hyperparameter
PyTorch Lightning through 2.6.5, fixed in commit d710d68, contains a remote code execution vulnerability in the loadstate function that imports and executes attacker-controlled module names from checkpoint instantiator hyperparameters. Attackers can craft malicious checkpoint files that bypass...
EUVD-2026-44751
PyTorch Lightning through 2.6.5, fixed in commit d710d68, contains a remote code execution vulnerability in the loadstate function that imports and executes attacker-controlled module names from checkpoint instantiator hyperparameters. Attackers can craft malicious checkpoint files that bypass...
CVE-2026-58659 PyTorch Lightning Arbitrary Code Execution via _instantiator Hyperparameter
PyTorch Lightning through 2.6.5, fixed in commit d710d68, contains a remote code execution vulnerability in the loadstate function that imports and executes attacker-controlled module names from checkpoint instantiator hyperparameters. Attackers can craft malicious checkpoint files that bypass...
PT-2026-60248
Name of the Vulnerable Software and Affected Versions PyTorch Lightning versions prior to 2.6.6 Description A remote code execution issue exists in the load state function. The flaw allows the import and execution of attacker-controlled module names from checkpoint instantiator hyperparameters. A...
PYSEC-2026-3043 PyTorch Lightning load_from_checkpoint has an insecure checkpoint deserialization
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...
PYSEC-2026-1857 PyTorch Lightning denial of service vulnerability
A vulnerability in lightning-ai/pytorch-lightning version 2.3.2 allows an attacker to cause a denial of service by sending an unexpected POST request to the /api/v1/state endpoint of LightningApp. This issue occurs due to improper handling of unexpected state values, which results in the server...
PYSEC-2026-508 Compromise of PyTorch Lightning PyPi Package Versions
Security Advisory: Compromise of PyTorch Lightning PyPI Package Versions Published: 2026-04-30 Last Updated: 2026-05-12 Github Advisory: CVE-2026-44484 We have identified a security incident affecting certain versions of one of our PyPI packages. What happened We have determined that one or more...
PYSEC-2026-385 Remote code execution in pytorch lightning
A remote code execution RCE vulnerability exists in the lightning-ai/pytorch-lightning library version 2.2.1 due to improper handling of deserialized user input and mismanagement of dunder attributes by the deepdiff library. The library uses deepdiff.Delta objects to modify application state base...
PYSEC-2026-386 pytorch-lightning vulnerable to Arbitrary File Write via /v1/runs API endpoint
A vulnerability in the /v1/runs API endpoint of lightning-ai/pytorch-lightning v2.2.4 allows attackers to exploit path traversal when extracting tar.gz files. When the LightningApp is running with the pluginserver, attackers can deploy malicious tar.gz plugins that embed arbitrary files with path...
CVE-2026-44484
A flaw was found in PyTorch Lightning. This deep learning framework introduced functionality that could be leveraged as a credential harvesting mechanism. A remote attacker could exploit this to obtain sensitive user credentials, leading to significant information disclosure and potential further...
CVE-2026-44484
PyTorch Lightning is a deep learning framework to pretrain and finetune AI models. Versions 2.6.2 and 2.6.2 have introduced functionality consistent with a credential harvesting mechanism...
EUVD-2026-30303
PyTorch Lightning is a deep learning framework to pretrain and finetune AI models. Versions 2.6.2 and 2.6.2 have introduced functionality consistent with a credential harvesting mechanism...
CVE-2026-44484
PyTorch Lightning is a deep learning framework to pretrain and finetune AI models. Versions 2.6.2 and 2.6.2 have introduced functionality consistent with a credential harvesting mechanism...
CVE-2026-44484
PyTorch Lightning PyPI package versions 2.6.2 and 2.6.3 have been compromised, introducing functionality consistent with a credential harvesting mechanism. This is reflected across CVE-2026-44484 and associated advisories (GHSA-w37p-236h-pfx3; OSV). The root cause is under investigation; affected...
CVE-2026-44484 Compromise of PyTorch Lightning PyPi Package Versions
PyTorch Lightning is a deep learning framework to pretrain and finetune AI models. Versions 2.6.2 and 2.6.2 have introduced functionality consistent with a credential harvesting mechanism...