CVE-2026-49114 json
ONNX symlink-following and path-traversal arbitrary file write
published 7mo ago modified 27d ago also EUVD-2026-63995 , GHSA-q56x-g2fj-4rj6 , PYSEC-2026-3876
- cvss
- 7.1
- version 3.1, CNA
- cisa kev
- Not listed
- not in CISA's catalog
- epss
- 0.2%
- EPSS 0.2% chance of exploitation in 30 days, percentile 5%
- public exploits
- 0
- none known
Summary
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 non-atomic 'os.path.isfile()' check. A local attacker with write access to the directory where a victim serializes external data can deterministically pre-plant a symlink that is being followed, causing the victim's write to append to any file the victim can write, e.g. ~/.ssh/authorized_keys, cron files, or application configs. Fixed in 1.21.0.
Patch / fix
- pypi onnx 1.21.0
- ONNX ONNX 1.21.0
Is CVE-2026-49114 in your dependencies? Fencer shows which of your repositories are affected as soon as an advisory lands, and opens the fix as a pull request.
Check with FencerVendor advisories
What the vendors themselves say about their products: affected, fixed or not affected, and what to do.
red hat product security vex CVE-2026-49114 updated cvss 7.3
onnx: ONNX: Arbitrary file write via symlink following and path traversal
-
Red Hat OpenShift AI 2.25 rhoai/odh-openvino-model-server-rhel9 1791275700fixed: vendor fix RHSA-2026:87410
-
Red Hat OpenShift AI 3.4 rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9 1791829182, rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9 1791868244, rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9 1791829615, rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9 1791868194, rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9 1791829530, rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9 1791829804, +8 morefixed: vendor fix RHSA-2026:84734
-
Red Hat OpenShift AI (RHOAI) rhoai/odh-mlserver-rhel9, rhoai/odh-mlserver-cuda-rhel9 Red Hat OpenShift AI 2.25 rhoai/odh-rhel9-operator 1792570619, rhoai/odh-vllm-cpu-rhel9 1792018436, rhoai/odh-dashboard-rhel9 1791853525, rhoai/odh-modelmesh-rhel9 1790881700, rhoai/odh-operator-bundle 1792571069, rhoai/odh-vllm-cuda-rhel9 1791358976, +65 more Red Hat OpenShift AI 3.4 rhoai/odh-cli-rhel9 1791509689, rhoai/rhai-cli-rhel9 1791509689, rhoai/odh-automl-rhel9 1791535789, rhoai/odh-mlflow-rhel9 1791865967, rhoai/odh-autorag-rhel9 1791557539, rhoai/odh-trainer-rhel9 1791869783, +86 morenot affected: vulnerable code not present
Red Hat CSAF VEX © Red Hat, Inc., from https://security.access.redhat.com/data/csaf/v2/vex/; changed: reduced to product statuses and remediations. CC BY 4.0 · csaf
cisa vex VA-26-233-01 updated cvss 7.1
ONNX symlink-following and path-traversal arbitrary file write
-
ONNX <1.21.0affected: vendor fix github.com
-
ONNX 1.21.0fixed: vendor fix github.com
From CISA ICS and IT advisories (CSAF, https://github.com/cisagov/CSAF), a U.S. Government work; changed: reduced to products, statuses and remediations. CISA notification · csaf
CISA SSVC
- Exploitation
- Proof of concept is public
- Automatable
- no
- Technical impact
- partial
- Assessed
- 2mo ago
Exploit prediction
0.16% chance of exploitation in the next 30 days, higher than 5% of all scored CVEs (FIRST EPSS, 2026-11-11).
Exploits and checks
- github.com https://github.com/onnx/onnx/security/advisories/GHSA-q56x-g2fj-4rj6 referenced PoC, tagged "exploit" by a source, unverified
CVSS scores
| assigned by | version | score | vector |
|---|---|---|---|
| CNA | 3.1 | 7.1 | CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H |
| CNA | 4.0 | 6.8 | CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:A/VC:N/VI:H/VA:H/SC:N/SI:N/SA:N |
| GitHub | 3.1 | 7.1 | CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H |
| CNA | 4.0 | 6.8 | CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:A/VC:N/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X |
| OSV | 3.1 | 7.1 | CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H |
Affected packages
| ecosystem | package | affected | fixed in |
|---|---|---|---|
| pypi | onnx | <1.21.0 |
1.21.0 |
Affected products
- ONNX ONNX
Classification
References
-
github.com
/onnx/onnx/security/advisories/GHSA-q56x-g2fj-4rj6
vendor-advisory, exploit, web, advisory
-
raw.githubusercontent.com
/cisagov/CSAF/develop/csaf_files/IT/white/2026/va-26-233-01.json
third-party-advisory, web, vdb-entry
-
cve.org
/CVERecord?id=CVE-2026-49114
vdb-entry, third-party-advisory
-
nvd.nist.gov
/vuln/detail/CVE-2026-49114
advisory
-
github.com
/onnx/onnx
package
-
pypi.org
/project/onnx
package
-
github.com
/advisories/GHSA-q56x-g2fj-4rj6
advisory
Sources
- CVE List CVE-2026-49114
- GitHub Advisory GHSA-q56x-g2fj-4rj6
- NVD CVE-2026-49114
- OSV PYSEC-2026-3876
- Maintainer advisory GHSA-q56x-g2fj-4rj6
Fencer Intel keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.
The maintainers of onnx/onnx published their own advisory on GitHub. Reviewed sources take precedence over it.