pytorch-vision-classifier (>=0.0.4, <=0.0.8), train-and-deploy (>=0.1.1a0, <=0.1.4) +2 more potentially affected by CVE-2025-11201 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-2025-11201 Source advisory: OSV:GHSA-5CVJ-7RG6-JGGJ...

Security Bulletin: IBM watsonx Orchestrate Developer Edition affected by vulnerability in torch

Summary Security Bulletin: IBM watsonx Orchestrate Developer Edition affected by vulnerability in torch Vulnerability Details CVEID:CVE-2025-3730 DESCRIPTION: A vulnerability, which was classified as problematic, was found in PyTorch 2.6.0. Affected is the function torch.nn.functional.ctcloss of...

NewStart CGSL MAIN 7.02 : pytorch Vulnerability (NS-SA-2025-0250)

The remote NewStart CGSL host, running version MAIN 7.02, has pytorch packages installed that are affected by a vulnerability: - PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system. In version 2.5...

Security Bulletin: IBM watsonx Orchestrate Developer Edition affected by vulnerability in torch-2.6.0-cp313-cp313-manylinux1_x86_64.whl

Summary Security Bulletin: IBM watsonx Orchestrate Developer Edition affected by vulnerability in torch-2.6.0-cp313-cp313-manylinux1x8664.whl Vulnerability Details CVEID:CVE-2025-2148 DESCRIPTION: A vulnerability was found in PyTorch 2.6.0+cu124. It has been declared as critical. Affected by this...

Security Bulletin: IBM watsonx Orchestrate Developer Edition affected by vulnerability in torch-2.6.0-cp313-cp313-manylinux1_x86_64.whl

Summary Security Bulletin: IBM watsonx Orchestrate Developer Edition affected by vulnerability in torch-2.6.0-cp313-cp313-manylinux1x8664.whl Vulnerability Details CVEID:CVE-2025-4287 DESCRIPTION: A vulnerability was found in PyTorch 2.6.0+cu124. It has been rated as problematic. Affected by this...

Security Bulletin: IBM watsonx Orchestrate Developer Edition affected by vulnerability in torch-2.6.0-cp313-cp313-manylinux1_x86_64.whl

Summary Security Bulletin: IBM watsonx Orchestrate Developer Edition affected by vulnerability in torch-2.6.0-cp313-cp313-manylinux1x8664.whl Vulnerability Details CVEID:CVE-2025-3000 DESCRIPTION: A vulnerability classified as critical has been found in PyTorch 2.6.0. This affects the function...

Improper Input Validation

picklescan is vulnerable to Improper Input Validation. The vulnerability is due to inadequate validation in the scanning logic that fails to properly inspect pickle files with PyTorch-related extensions, which allows an attacker to bypass security checks and execute malicious code when the file i...

PyTorch max_pool2d Code Execution

The vulnerability of the torch.nn.functional.maxpool2d function in the PyTorch machine learning framework is related to the execution of operations outside of the buffer boundaries in memory. Exploiting this vulnerability could allow a malicious actor to execute arbitrary code...

PyTorch torch.nn.Fold DoS

The vulnerability of the torch.nn.Fold module in the PyTorch machine learning framework is related to buffer overflow attacks. Exploiting this vulnerability could allow a malicious actor to cause a service failure...

PyTorch bitwise_right_shift Information Disclosure

The vulnerability of the torch.bitwiserightshift interface in the PyTorch machine learning framework is related to the execution of the operation outside the buffer in memory. Exploiting this vulnerability could allow an attacker to compromise the accessibility of protected information...

PyTorch bernoulli_p decompose Data Compromise

The vulnerability of the bernoullip function in the PyTorch machine learning framework’s decompose method is related to inefficient calculations by the central processor. Exploiting this vulnerability could allow a malicious actor to compromise the confidentiality of the protected information...

PyTorch PairwiseDistance Data Compromise

The vulnerability of the torch.nn.PairwiseDistancep=2 configuration in the PyTorch machine learning framework is related to insufficient validation of input data. Exploiting this vulnerability could allow an attacker to compromise the confidentiality of the protected information...

Insecure Deserialization

monai is vulnerable to Insecure Deserialization. The vulnerability is due to loading of untrusted checkpoint files like torch.load used without safe guards. This allows an attacker to supply a crafted checkpoint that executes arbitrary code during deserialization...

BIT-PYTORCH-2025-55560

An issue in pytorch v2.7.0 can lead to a Denial of Service DoS when a PyTorch model consists of torch.Tensor.tosparse and torch.Tensor.todense and is compiled by Inductor...

PyTorch DoS

The vulnerabilities of the methods torch.nn.Conv2d, torch.nn.functional.hardshrink, torch.Tensor.view, and torch.Tensor.mv in the PyTorch machine learning framework are related to uncontrolled resource consumption. Exploiting these vulnerabilities could allow a malicious actor to cause service...

PyTorch nan_to_num DoS

The vulnerability of the torch.nantonum function in the PyTorch machine learning framework is related to integer overflow. Exploiting this vulnerability could allow a malicious actor to trigger a service failure...

PyTorch LU Function DoS

The vulnerability of the torch.linalg.lu function in the PyTorch machine learning framework is related to unlimited resource consumption. Exploiting this vulnerability could allow a malicious actor to cause service failures...

PyTorch to_sparse DoS

The vulnerability of the torch.Tensor.tosparse and torch.Tensor.todense methods in the PyTorch machine learning framework is related to uncontrolled resource consumption. Exploiting this vulnerability could allow a malicious actor to cause service failures...

PyTorch rot90 randn_like DoS

The vulnerability of the torch.rot90 and torch.randnlike functions in the PyTorch machine learning framework is related to incorrect calculations. Exploiting this vulnerability may allow a malicious actor to cause service failures...

PyTorch Tensor Random DoS

The vulnerability of the torch.Tensor.random method in the PyTorch machine learning framework is related to insufficient exception handling. Exploiting this vulnerability could allow a malicious actor to cause service failures...