Picklescan has a missing detection when calling built-in python idlelib.calltip.Calltip

SummaryUsing idlelib.calltip.Calltip.fetchtip, which is a built-in python library function to execute remote pickle file. DetailsThe attack payload executes in the following steps:First, the attacker craft the payload by calling to idlelib.calltip.Calltip.fetchtip function in reduce methodThen wh...

Hugging Face Transformers Regular Expression Denial of Service (ReDoS) vulnerability

A Regular Expression Denial of Service ReDoS vulnerability exists in the Hugging Face Transformers library, specifically in the converttfweightnametoptweightname function. This function, responsible for converting TensorFlow weight names to PyTorch format, uses a regex pattern /^/^// that can be...

PyTorch Improper Resource Shutdown or Release vulnerability

A vulnerability, which was classified as problematic, was found in PyTorch 2.6.0. Affected is the function torch.nn.functional.ctcloss of the file aten/src/ATen/native/LossCTC.cpp. The manipulation leads to denial of service. An attack has to be approached locally. The exploit has been disclosed ...

PYSEC-2026-1970 PyTorch Improper Resource Shutdown or Release vulnerability

A vulnerability, which was classified as problematic, was found in PyTorch 2.6.0. Affected is the function torch.nn.functional.ctcloss of the file aten/src/ATen/native/LossCTC.cpp. The manipulation leads to denial of service. An attack has to be approached locally. The exploit has been disclosed ...

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-2026-1857 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...

MLFlow unsafe deserialization

Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.5.0 or newer, enabling a maliciously uploaded PyTorch model to run arbitrary code on an end user’s system when interacted with...

PYSEC-2026-1660 MLFlow unsafe deserialization

Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.5.0 or newer, enabling a maliciously uploaded PyTorch model to run arbitrary code on an end user’s system when interacted with...

pytorch-vision-classifier (>=0.0.4, <=0.0.8), train-and-deploy (>=0.1.1a0, <=0.1.4) +2 more potentially affected by CVE-2024-1558 via mlflow (1.10.0)

mlflow PYPI version 1.10.0 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - pytorch-vision-classifier =0.0.4, =0.1.1a0, =0.4.1, =0.4.2 - waveletai 0.2.4 Source cves: CVE-2024-1558 Source advisory: OSV:PYSEC-2026-1653...

AZL-92031 CVE-2026-14647 affecting package pytorch for versions less than 2.2.2-16

A weakness has been identified in onnx up to 1.21.x. This vulnerability affects the function convPoolShapeInferenceopset19 of the file onnx/defs/nn/old.cc of the component onnxruntime. This manipulation causes out-of-bounds read. It is possible to initiate the attack remotely. The exploit has bee...

CVE-2025-71342

picklescan before 0.0.30 fails to detect malicious pickle files using idlelib.run.Executive.runcode in reduce methods. Attackers can embed undetected code in pickle files that executes during pickle.load, enabling remote code execution in PyTorch models and supply chain attacks...

CVE-2025-71342 picklescan - Undetected Remote Code Execution via idlelib.run.Executive.runcode

picklescan before 0.0.30 fails to detect malicious pickle files using idlelib.run.Executive.runcode in reduce methods. Attackers can embed undetected code in pickle files that executes during pickle.load, enabling remote code execution in PyTorch models and supply chain attacks...

CVE-2025-71342: Deserialization of Untrusted Data

picklescan before 0.0.30 fails to detect malicious pickle files using idlelib.run.Executive.runcode in reduce methods. Attackers can embed undetected code in pickle files that executes during pickle.load, enabling remote code execution in PyTorch models and supply chain attacks...

Deserialization of Untrusted Data

Overview ray is an A system for parallel and distributed Python that unifies the ML ecosystem. Affected versions of this package are vulnerable to Deserialization of Untrusted Data via the readwebdataset function. An attacker can execute arbitrary code on remote workers by supplying a specially...

Rise from the Ashes: LLM-Based Static Analysis for Deep Learning Framework Bugs

Deep learning DL frameworks are critical AI infrastructures that often hide bugs with serious security implications. While dynamic approaches such as fuzzing are effective in uncovering these bugs, they require real test execution and incur high computational costs. Static analysis is a natural...

Exploit for Deserialization of Untrusted Data in Linuxfoundation Pytorch

CVE-2025-32434: PyTorch RCE Vulnerability - PoC What is CV...

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...

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-2026-44484We have identified a security incident affecting certain versions of one of our PyPI packages. What happenedWe have determined that one or more...

PYSEC-2026-406 mamba language model framework vulnerable to insecure deserialization when loading pre-trained models from HuggingFace Hub

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.frompretrained method uses torch.load to load the pytorchmodel.bin weight file without enabling the security-restrictive...

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...