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  <updated>2026-10-06T01:23:17.643940+00:00</updated>
  <author>
    <name>Vulnerability-Lookup</name>
    <email>csirt@opendfir.org</email>
  </author>
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  <entry>
    <id>https://cve.radiocsirt.org/vuln/euvd-2026-278583</id>
    <title>EUVD-2026-278583</title>
    <updated>2026-10-06T01:23:17.647324+00:00</updated>
    <content>EUVD-2026-278583</content>
    <link href="https://cve.radiocsirt.org/vuln/euvd-2026-278583"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/fkie_cve-2026-34447</id>
    <title>fkie_cve-2026-34447</title>
    <updated>2026-10-06T01:23:17.647408+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml">
        <p>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.</p>
      </div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/fkie_cve-2026-34447"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/ghsa-p433-9wv8-28xj</id>
    <title>GHSA-p433-9wv8-28xj — ONNX: External Data Symlink Traversal</title>
    <updated>2026-10-06T01:23:17.647546+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: onnx</p>
<p>Summary
- Issue: Symlink traversal in external data loading allows reading files outside the model directory.
- Affected code: `onnx/onnx/checker.cc: resolve_external_data_location` used via Python `onnx.external_data_helper.load_external_data_for_model`.
- Impact: Arbitrary file read (confidentiality breach) when a model’s external data path resolves to a symlink targeting a file outside the model directory.</p>
<p>Root Cause
- The function `resolve_external_data_location(base_dir, location, tensor_name)` intends to ensure that external data files reside within `base_dir`. It:
  - Rejects empty/absolute paths
  - Normalizes the relative path and rejects `..`
  - Builds `data_path = base_dir / relative_path`
  - Checks `exists(data_path)` and `is_regular_file(data_path)`
- However, `std::filesystem::is_regular_file(path)` follows symlinks to their targets. A symlink placed inside `base_dir` that points to a file outside `base_dir` will pass the checks and be returned. The Python loader then opens the path and reads the target file.</p>
<p>Code Reference
- File: onnx/onnx/checker.cc:970-1060
- Key logic:
  - Normalization: `auto relative_path = file_path.lexically_normal().make_preferred();`
  - Existence: `std::filesystem::exists(data_path)`
  - Regular file check: `std::filesystem::is_regular_file(data_path)`
  - Returned path is later opened in Python: `external_data_helper.load_external_data_for_tensor`.</p>
<p>Proof of Concept (PoC)
- File: `onnx_external_data_symlink_traversal_poc.py`
-…</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/ghsa-p433-9wv8-28xj"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/pysec-2026-104</id>
    <title>PYSEC-2026-104</title>
    <updated>2026-10-06T01:23:17.647973+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: onnx</p>
<p>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.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/pysec-2026-104"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/ubuntu-cve-2026-34447</id>
    <title>UBUNTU-CVE-2026-34447</title>
    <updated>2026-10-06T01:23:17.648058+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> Ubuntu:22.04:LTS: onnx, Ubuntu:Pro:24.04:LTS: onnx, Ubuntu:25.10: onnx, Ubuntu:26.04:LTS: onnx</p>
<p>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.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/ubuntu-cve-2026-34447"/>
  </entry>
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