CVE-2026-34446

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-2026-34447

Open Neural Network Exchange ONNX is an open standard for machine learning interoperability. Prior to version 1.21.0, there is a symlink traversal vulnerability in external data loading allows reading files outside the model directory. This issue has been patched in version 1.21.0...

CVE-2026-34447

Open Neural Network Exchange ONNX is an open standard for machine learning interoperability. Prior to version 1.21.0, there is a symlink traversal vulnerability in external data loading allows reading files outside the model directory. This issue has been patched in version 1.21.0...

CVE-2026-34447 ONNX: External Data Symlink Traversal

Open Neural Network Exchange ONNX is an open standard for machine learning interoperability. Prior to version 1.21.0, there is a symlink traversal vulnerability in external data loading allows reading files outside the model directory. This issue has been patched in version 1.21.0...

CVE-2026-34446 ONNX: Arbitrary File Read via ExternalData Hardlink Bypass in ONNX load

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-2026-34445 ONNX: Malicious ONNX models can crash servers by exploiting unprotected object settings.

Open Neural Network Exchange ONNX is an open standard for machine learning interoperability. Prior to version 1.21.0, the ExternalDataInfo class in ONNX was using Python’s setattr function to load metadata like file paths or data lengths directly from an ONNX model file. It didn’t check if the...

CVE-2026-34445

Open Neural Network Exchange ONNX is an open standard for machine learning interoperability. Prior to version 1.21.0, the ExternalDataInfo class in ONNX was using Python’s setattr function to load metadata like file paths or data lengths directly from an ONNX model file. It didn’t check if the...

PT-2026-29577

Name of the Vulnerable Software and Affected Versions ONNX versions prior to 1.21.0 Description The ExternalDataInfo class in ONNX used Python’s setattr function to load metadata from ONNX model files without validating the keys. This allowed an attacker to craft a malicious model that could...

PT-2026-29579

Name of the Vulnerable Software and Affected Versions ONNX versions prior to 1.21.0 Description The Open Neural Network Exchange ONNX has an issue in the onnx.load function where the code checks for symbolic links to prevent path traversal but fails to account for hard links, as hard links appear...

Open Neural Network Exchange 安全漏洞

Open Neural Network Exchange is an open-source ecosystem developed by Open Neural Network Exchange. It enables AI developers to choose the appropriate tools as the project evolves. Versions of Open Neural Network Exchange prior to 1.21.0 contained a security vulnerability. This vulnerability...

PT-2026-29580

Name of the Vulnerable Software and Affected Versions ONNX versions prior to 1.21.0 Description ONNX versions prior to 1.21.0 contain a symlink traversal vulnerability in the external data loading process. This flaw allows reading files outside the intended model directory. The vulnerability...

Open Neural Network Exchange 安全漏洞

Open Neural Network Exchange is an open-source ecosystem developed by Open Neural Network Exchange. It enables AI developers to choose the appropriate tools as the project evolves. Versions of Open Neural Network Exchange prior to 1.21.0 contained a security vulnerability caused by symbolic link...

PT-2026-29422

Name of the Vulnerable Software and Affected Versions ONNX versions prior to 1.21.0 Description ONNX contains a path traversal vulnerability via symlink that allows reading arbitrary files outside the model or user-provided directory. The vulnerability exists because the check for symlinks is...

CVE-2026-24141

NVIDIA Model Optimizer for Windows and Linux contains a vulnerability in the ONNX quantization feature, where a user could cause unsafe deserialization by providing a specially crafted input file. A successful exploit of this vulnerability might lead to code execution, escalation of privileges,...

CVE-2026-28500

A flaw was found in Open Neural Network Exchange ONNX, an open standard for machine learning interoperability. A security control bypass exists in the onnx.hub.load function due to improper logic in its repository trust verification. An attacker can exploit this by providing a malicious model,...

UBUNTU-CVE-2026-28500

Open Neural Network Exchange ONNX is an open standard for machine learning interoperability. In versions up to and including 1.20.1, a security control bypass exists in onnx.hub.load due to improper logic in the repository trust verification mechanism. While the function is designed to warn users...

CVE-2026-28500

Open Neural Network Exchange ONNX is an open standard for machine learning interoperability. In versions up to and including 1.20.1, a security control bypass exists in onnx.hub.load due to improper logic in the repository trust verification mechanism. While the function is designed to warn users...

CVE-2026-28500 ONNX Untrusted Model Repository Warnings Suppressed by silent=True in onnx.hub.load() — Silent Supply-Chain Attack

Open Neural Network Exchange ONNX is an open standard for machine learning interoperability. In versions up to and including 1.20.1, a security control bypass exists in onnx.hub.load due to improper logic in the repository trust verification mechanism. While the function is designed to warn users...

EUVD-2023-0183

Malicious code in bioql PyPI...

Directory Traversal

Overview onnx is an Open Neural Network Exchange Affected versions of this package are vulnerable to Directory Traversal via the saveexternaldata function. An attacker can overwrite arbitrary files by supplying crafted values to the externaldata.location parameter containing traversal sequences,...