Linuxfoundation Onnx vulnerabilities
12 CVEs affecting Linuxfoundation Onnx, 0 known to be exploited (CISA KEV), with EPSS scores. Latest: CVE-2026-49114, published 2026-08-21.
More from Linuxfoundation.
Highest priority
Known exploited (CISA KEV) first, then by EPSS exploit probability.
- CVE-2022-25882, published 2023-01-26. High severity, CVSS 7.5. EPSS: 1.6% chance of exploitation in the next 30 days. 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…
- CVE-2024-27318, published 2024-02-23. High severity, CVSS 7.5. EPSS: 1.2% chance of exploitation in the next 30 days. 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…
- CVE-2024-5187, published 2024-06-06. High severity, CVSS 8.8. EPSS: 1.2% chance of exploitation in the next 30 days. 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…
- CVE-2025-51480, published 2025-07-22. High severity, CVSS 8.8. EPSS: 0.6% chance of exploitation in the next 30 days. 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…
- CVE-2026-27489, published 2026-04-01. High severity, CVSS 7.5. EPSS: 0.6% chance of exploitation in the next 30 days. 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…
- CVE-2024-27319, published 2024-02-23. Critical severity, CVSS 9.1. EPSS: 0.6% chance of exploitation in the next 30 days. 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.
- CVE-2026-34445, published 2026-04-01. High severity, CVSS 8.6. EPSS: 0.5% chance of exploitation in the next 30 days. 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…
- CVE-2026-28500, published 2026-03-18. Critical severity, CVSS 9.1. EPSS: 0.3% chance of exploitation in the next 30 days. 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…
- CVE-2026-44512, published 2026-07-08. Medium severity, CVSS 5.5. EPSS: 0.2% chance of exploitation in the next 30 days. Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. From 1.9.0 before 1.22.0, onnx.version_converter.convert_version() can dereference a null pointer in…
- CVE-2026-34447, published 2026-04-01. Medium severity, CVSS 5.5. EPSS: 0.2% chance of exploitation in the next 30 days. 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…
Latest
- CVE-2026-49114, published 2026-08-21. High severity, CVSS 7.1. EPSS: 0.2% chance of exploitation in the next 30 days. In ONNX before 1.21.0, the 'save_external_data' function builds the external-data file path from the model's external_data location field and opens it for writing without 'O_NOFOLLOW/O_EXCL', after a…
- CVE-2026-34446, published 2026-04-01. Medium severity, CVSS 5.5. EPSS: 0.2% chance of exploitation in the next 30 days. 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…