Medium severity · published Apr 1, 2026
CVE-2026-34447
ONNX: External Data Symlink Traversal
5.5
CVSS
0.2%
EPSS
No
On KEV
Description
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.
CVSS vector
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N
Attack vector
Local
Complexity
Low
Privileges
None
User interaction
Required
Confidentiality
High
Integrity
None
Availability
None
Scope
Unchanged
Exploitation
Is it being used?
Exploit prediction (EPSS)0.2% · higher than 16% of CVEs
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
ON
onnx · onnx
< 1.21.0 · source: vendor, NVD
References
NVD
https://nvd.nist.gov/vuln/detail/CVE-2026-34447
CVE.org
https://www.cve.org/CVERecord?id=CVE-2026-34447
Exploit
https://github.com/onnx/onnx/security/advisories/GHSA-p433-9wv8-28xj
More from onnx
9.1
CVE-2026-28500
ONNX Untrusted Model Repository Warnings Suppressed by silent=True in onnx.hub.load() — Silent Supply-Chain Attack
9.1
CVE-2024-7776
A vulnerability in the `download_model` function of the onnx/onnx framework, before and including version 1.16.1, allows for arbitrary file overwrite due to inadequate prevention…
8.6
CVE-2026-34445
ONNX: Malicious ONNX models can crash servers by exploiting unprotected object settings.
7.5
CVE-2026-27489
ONNX: Path Traversal via Symlink
7.1
CVE-2026-49114
ONNX symlink-following and path-traversal arbitrary file write