205 matches found
CVE-2026-34445: Improper Input Validation
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...
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...
CVE-2026-27489: Relative Path Traversal
Open Neural Network Exchange ONNX is an open standard for machine learning interoperability. Prior to version 1.21.0, a path traversal vulnerability via symlink allows to read arbitrary files outside model or user-provided directory. This issue has been patched in version 1.21.0...
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...
Software Vulnerability Detection Using a Lightweight Graph Neural Network
Large Language Models LLMs have emerged as a popular choice in vulnerability detection studies given their foundational capabilities, open source availability, and variety of models, but have limited scalability due to extensive compute requirements. Using the natural graph relational structure o...
EUVD-2026-15003
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-2026-24141
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,...
SUSE 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
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,...
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...
PYSEC-2026-103
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...
PYSEC-2026-103
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...
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...
CVE-2026-28500: Insufficient Verification of Data Authenticity
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-2025-12343 Ffmpeg: double-free vulnerability in ffmpeg tensorflow dnn backend
A flaw was found in FFmpeg’s TensorFlow backend within the libavfilter/dnnbackendtf.c source file. The issue occurs in the dnnexecutemodeltf function, where a task object is freed multiple times in certain error-handling paths. This redundant memory deallocation can lead to a double-free conditio...
CVE-2025-12343 Ffmpeg: double-free vulnerability in ffmpeg tensorflow dnn backend
A flaw was found in FFmpeg’s TensorFlow backend within the libavfilter/dnnbackendtf.c source file. The issue occurs in the dnnexecutemodeltf function, where a task object is freed multiple times in certain error-handling paths. This redundant memory deallocation can lead to a double-free conditio...