Resource exhaustion in Linuxfoundation Onnx
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.
Vulnerability class: Drupalgeddon 2 (CVE-2018-7600)
Published · last modified .
CVSS v3 metric
CVSS v3 base score 8.6 (High). Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:H.
EPSS exploit prediction
EPSS: 0.005 (41.0th percentile), scored .
Very low probability of exploitation in the next 30 days; routine patching cadence is appropriate. 41st percentile — 41.0% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.
EPSS over last 30 days · oldest: 0.003 · newest: 0.005 · change: +0.002
Affected products
- Linuxfoundation Onnx
- Onnx — versions < 1.21.0
Weakness classification (CWE)
References
- github.com/onnx/onnx/security/advisories/GHSA-538c-55jv-c5g9 (Patch, Vendor Advisory)
- github.com/onnx/onnx/pull/7751 (Patch, Issue Tracking)
- github.com/onnx/onnx/commit/e30c6935d67cc3eca2fa284e37248e7c0036c46b (Patch)
Frequently asked questions
- What is CVE-2026-34445?
- CVE-2026-34445 is a high-severity vulnerability in Linuxfoundation Onnx, classified under Improper Input Validation. CVSS score: 8.6/10. Published 2026-04-01.
- How severe is CVE-2026-34445?
- High severity. CVSS v3 base score is 8.6 out of 10.