PT-2026-36130

A vulnerability was identified in PyTorch 2.10.0. The affected element is an unknown function of the component pt2 Loading Handler. The manipulation leads to deserialization. The attack can only be performed from a local environment. The exploit is publicly available and might be used. The projec...

Security Bulletin: IBM Maximo Application Suite - Visual Inspection component uses torch-2.8.0-cp310-none-macosx_11_0_arm64.whl which is vulnerable to CVE-2026-24747

Summary IBM Maximo Application Suite - Visual Inspection component uses torch-2.8.0-cp310-none-macosx110arm64.whl which is vulnerable to CVE-2026-24747, This bulletin contains information regarding the vulnerability and its remediation. Vulnerability Details CVEID:CVE-2026-24747 DESCRIPTION:...

PT-2026-61515

Name of the Vulnerable Software and Affected Versions keras-team/keras version 3.15.0 Description Unsafe deserialization of attacker-controlled PyTorch pickle data occurs through the public keras.layers.TorchModuleWrapper.from config method. This happens because the method invokes torch.load...,...

CVE-2026-34446 affecting package pytorch for versions less than 2.2.2-14

CVE-2026-34446 affecting package pytorch for versions less than 2.2.2-14. A patched version of the package is available...

CVE-2026-34445 affecting package pytorch for versions less than 2.2.2-14

CVE-2026-34445 affecting package pytorch for versions less than 2.2.2-14. A patched version of the package is available...

CVE-2026-1839

A flaw was found in HuggingFace Transformers. A remote attacker can exploit this vulnerability by supplying a specially crafted checkpoint file e.g., rngstate.pth. The loadrngstate method in the Trainer class loads this file using torch.load without proper validation, specifically missing the...

pytorch-vision-classifier (>=0.0.4, <=0.0.8), train-and-deploy (>=0.1.1a0, <=0.1.4) +2 more potentially affected by CVE-2026-33865 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-2026-33865 Source advisory: OSV:GHSA-FH64-R2VC-XVHR...

pytorch-vision-classifier (>=0.0.4, <=0.0.8), train-and-deploy (>=0.1.1a0, <=0.1.4) +2 more potentially affected by CVE-2026-33866 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-2026-33866 Source advisory: OSV:PYSEC-2026-94...

llm-foundry (>=0.9.1, <=0.10.0), mlflow-pytorch-exp (0.0.1) potentially affected by CVE-2026-33866 via mlflow (2.14.3)

mlflow PYPI version 2.14.3 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - llm-foundry =0.9.1, =0.10.0 - mlflow-pytorch-exp 0.0.1 Source cves: CVE-2026-33866 Source advisory: OSV:PYSEC-2026-94...

llm-foundry (>=0.9.1, <=0.10.0), mlflow-pytorch-exp (0.0.1) potentially affected by CVE-2026-33865 via mlflow (2.14.3)

mlflow PYPI version 2.14.3 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - llm-foundry =0.9.1, =0.10.0 - mlflow-pytorch-exp 0.0.1 Source cves: CVE-2026-33865 Source advisory: OSV:PYSEC-2026-93...

PT-2026-30793

Name of the Vulnerable Software and Affected Versions HuggingFace Transformers versions prior to 5.0.0rc3 Description A flaw exists in the Trainer class within the HuggingFace Transformers library. The load rng state method, located in src/transformers/trainer.py at line 3059, utilizes torch.load...

The vulnerability of the pt2 Loading Handler component in the PyTorch machine learning framework allows a hacker to execute arbitrary code.

The vulnerability of the pt2 Loading Handler component in the PyTorch machine learning framework is related to deficiencies in the deserialization mechanism. Exploiting this vulnerability allows an attacker to execute arbitrary code...

AZL-81986 CVE-2026-34446 affecting package pytorch for versions less than 2.2.2-14

Open Neural Network Exchange ONNX is an open standard for machine learning interoperability. Prior to version 1.21.0, there is an issue in onnx.load, the code checks for symlinks to prevent path traversal, but completely misses hardlinks because a hardlink looks exactly like a regular file on the...

CVE-2025-33244

NVIDIA APEX for Linux contains a vulnerability where an unauthorized attacker could cause a deserialization of untrusted data. This vulnerability affects environments that use PyTorch versions earlier than 2.6. A successful exploit of this vulnerability might lead to code execution, denial of...

EUVD-2025-208972

NVIDIA APEX for Linux contains a vulnerability where an unauthorized attacker could cause a deserialization of untrusted data. This vulnerability affects environments that use PyTorch versions earlier than 2.6. A successful exploit of this vulnerability might lead to code execution, denial of...

CVE-2025-33244

NVIDIA APEX for Linux contains a vulnerability where an unauthorized attacker could cause a deserialization of untrusted data. This vulnerability affects environments that use PyTorch versions earlier than 2.6. A successful exploit of this vulnerability might lead to code execution, denial of...

CVE-2025-33244

NVIDIA APEX for Linux contains a vulnerability where an unauthorized attacker could cause a deserialization of untrusted data. This vulnerability affects environments that use PyTorch versions earlier than 2.6. A successful exploit of this vulnerability might lead to code execution, denial of...

CVE-2025-33244

NVIDIA APEX for Linux contains a vulnerability where an unauthorized attacker could cause a deserialization of untrusted data. This vulnerability affects environments that use PyTorch versions earlier than 2.6. A successful exploit of this vulnerability might lead to code execution, denial of...

CVE-2025-33244

Summary: CVE-2025-33244 is addressed in NVIDIA Apex for Linux. The issue involves deserialization of untrusted data in NVIDIA APEX (affecting environments using PyTorch

CVE-2025-33244

NVIDIA APEX for Linux contains a vulnerability where an unauthorized attacker could cause a deserialization of untrusted data. This vulnerability affects environments that use PyTorch versions earlier than 2.6. A successful exploit of this vulnerability might lead to code execution, denial of...