ONNX-MLIR 安全漏洞

ONNX-MLIR is an open-source compiler tool developed by Open Neural Network Exchange that converts ONNX graphs into efficient code. Versions of ONNX-MLIR prior to 0.5.0.0 contained security vulnerabilities. These vulnerabilities stemmed from the use of a weak hash function in the generatehashkey...

EUVD-2026-26012

In Spring AI, having access to a shared environment can expose the ONNX model used by the application. Affected versions: Spring AI: 1.0.0 - 1.0.5 fixed in 1.0.6, 1.1.0 - 1.1.4 fixed in 1.1.5...

CVE-2026-40979

In Spring AI, having access to a shared environment can expose the ONNX model used by the application. Affected versions: Spring AI: 1.0.0 - 1.0.5 fixed in 1.0.6, 1.1.0 - 1.1.4 fixed in 1.1.5...

VMware Spring AI 安全漏洞

VMware Spring AI is a development framework by the American company VMware, which integrates artificial intelligence and large language model capabilities into the Spring ecosystem. Versions 1.0.0 to 1.0.5, as well as 1.1.0 to 1.1.4 of VMware Spring AI, have security vulnerabilities. These...

Linux Distros Unpatched Vulnerability : CVE-2026-34445

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - 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 usi...

CVE-2026-34445

A flaw was found in Open Neural Network Exchange ONNX. An attacker could exploit a vulnerability in how ONNX processes model metadata, specifically within the ExternalDataInfo class. By crafting a malicious ONNX model, an attacker could overwrite internal object properties, leading to a denial of...

PYSEC-2026-104

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...

PYSEC-2026-104

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...

UBUNTU-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-2026-34445

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...

UBUNTU-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...

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-2026-34446 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...

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-2026-29580

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. This vulnerability...

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...