本ページは linuxfoundation onnx に影響する公開済み CVE（NVD の CPE 経由で関連付け）を列挙します。各行に深刻度指標・概要・公開日が含まれます。
| CVE | 概要 | ソース | CVSS 最大値 | EPSS（%） | 公開 | 更新 |
|---|---|---|---|---|---|---|
| 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. | [email protected] | 5.5 | 0.01% | 2026-04-01 | 2026-04-15 |
| 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 filesystem. This issue has been patched in version 1.21.0. | [email protected] | 4.7 | 0.01% | 2026-04-01 | 2026-04-15 |
| 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 "keys" in the file were valid. Due to this, an attacker could craft a malicious model that overwrites internal object properties. This issue has been patched in version 1.21.0. | [email protected] | 8.6 | 0.19% | 2026-04-01 | 2026-04-15 |
| CVE-2026-27489 | 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. | [email protected] | 8.7 | 0.03% | 2026-04-01 | 2026-04-07 |
| 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 when loading models from non-official sources, the use of the silent=True parameter completely suppresses all security warnings and confirmation prompts. This vulnerability transforms a standard mod | [email protected] | 8.6 | 0.01% | 2026-03-18 | 2026-03-18 |
| CVE-2025-51480 | Path Traversal vulnerability in onnx.external_data_helper.save_external_data in ONNX 1.17.0 allows attackers to overwrite arbitrary files by supplying crafted external_data.location paths containing traversal sequences, bypassing intended directory restrictions. | [email protected] | 8.8 | 0.37% | 2025-07-22 | 2025-10-08 |
| CVE-2024-5187 | A vulnerability in the `download_model_with_test_data` function of the onnx/onnx framework, version 1.16.0, allows for arbitrary file overwrite due to inadequate prevention of path traversal attacks in malicious tar files. This vulnerability enables attackers to overwrite any file on the system, potentially leading to remote code execution, deletion of system, personal, or application files, thus impacting the integrity and availability of the system. The issue arises from the function's handlin | [email protected] | 8.8 | 2.61% | 2024-06-06 | 2024-11-21 |
| CVE-2024-27319 | Versions of the package onnx before and including 1.15.0 are vulnerable to Out-of-bounds Read as the ONNX_ASSERT and ONNX_ASSERTM functions have an off by one string copy. | 6f8de1f0-f67e-45a6-b68f-98777fdb759c | 4.4 | 0.06% | 2024-02-23 | 2025-02-13 |
| CVE-2024-27318 | Versions of the package onnx before and including 1.15.0 are vulnerable to Directory Traversal as the external_data field of the tensor proto can have a path to the file which is outside the model current directory or user-provided directory. The vulnerability occurs as a bypass for the patch added for CVE-2022-25882. | 6f8de1f0-f67e-45a6-b68f-98777fdb759c | 7.5 | 0.41% | 2024-02-23 | 2025-02-13 |
| CVE-2022-25882 | Versions of the package onnx before 1.13.0 are vulnerable to Directory Traversal as the external_data field of the tensor proto can have a path to the file which is outside the model current directory or user-provided directory, for example "../../../etc/passwd" | [email protected] | 7.5 | 5.83% | 2023-01-26 | 2025-04-01 |