Skip to main content
No exploitation reportedFix available

CVE-2026-34445

No exploitation reported by the sources we read.

  • Published2026-04-01
  • Fixed in1.21.0
  • WeaknessCWE-20 · CWE-400 · CWE-915

Am I affected?

With a domain, we read the version its public headers and pages expose. A distribution build can carry the fix under an older number.

Description

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.

Timeline

dates in UTC
  1. 2026-04-0118:16CVE publishedNVD

Observed activity

isMalicious corpus · updated 2026-10-23 21:37 UTC
Indicators tagged with this CVE, per day0 indicators over 7 days
Block these indicators
  • Firewall list (EDL, text): https://api.ismalicious.com/edl/cve/CVE-2026-34445?format=txt
  • CSV export: https://api.ismalicious.com/edl/cve/CVE-2026-34445?format=csv
  • TAXII collection of exploited CVEs
  • The EDL and CSV take an API key on the Pro plan.

Versions per branch

NVD · OSV
Linuxfoundation onnx
BranchAffectedFixed in
1.21< 1.21.01.21.0

as publishedRanges as NVD and OSV publish them; a distribution’s build can be fixed under an older number.

Distribution builds and vendor advisories

Packages from OSV.dev and products from the vendors' CSAF advisories.

version not verifiedVersions not verified: read as OSV.dev and the vendors publish them, not checked against each vendor's release list.

Vendor advisories

  • CVE-2026-34445 Red Hat Product Security55 products fixed · 1 known affected

    ONNX: ONNX: Denial of Service and potential information disclosure via malicious model metadata

    rhoai/odh-openvino-model-server-rhel9 as a component of Red Hat OpenShift AI (RHOAI)

  • RHSA-2026:73987 Red Hat Product Security28 products fixed

    Red Hat Security Advisory: RHOAI 3.3.7 - Red Hat OpenShift AI

  • RHSA-2026:65126 Red Hat Product Security27 products fixed

    Red Hat Security Advisory: RHOAI 2.25.11 - Red Hat OpenShift AI

Full record on NVD

Fix

  1. Update Linuxfoundation onnx to 1.21.0
  2. Vendor fix Red Hat Product Security RHSA-2026:73987 · 28 productsFor Red Hat OpenShift AI 3.3.7 see the following documentation, which will be updated shortly for this release, for important instructions on how to upgrade your cluster and fully apply this errata update: https://docs.redhat.com/en/documentation/red_hat_openshift_ai/
  3. Vendor fix Red Hat Product Security RHSA-2026:65126 · 27 productsFor Red Hat OpenShift AI 2.25.11 see the following documentation, which will be updated shortly for this release, for important instructions on how to upgrade your cluster and fully apply this errata update: https://docs.redhat.com/en/documentation/red_hat_openshift_ai/
  4. No fix available, says the vendor Red Hat Product Security CVE-2026-34445 · 1 productAffected

Advisories and patches

Detection

Nuclei template
none so far
ProjectDiscovery
Exploit-DB
no entry
Exploit-DB
Proof-of-concept repositories
none listed
PoC-in-GitHub

Sources

  • NVDCVE recordread 2026-10-23
  • CISA-ADPSSVC decisionnone2026-04-01
  • OpenCVESSVC decisionnone—
  • CNACVSS 3.18.6read 2026-10-23
  • CNAweakness (CWE)CWE-20, CWE-400, CWE-915read 2026-10-23
  • FIRST EPSSEPSS score0.5 %2026-10-23
  • OSVaffected packages—
  • Microsoft MSRCadvisory—

Technical details

CVSS v3 Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:H
Published
2026-04-01
Last Modified
2026-06-17
NVD status
Analyzed
MSRC Title
ONNX: Malicious ONNX models can crash servers by exploiting unprotected object settings.

Frequently asked questions

What is 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.

Is CVE-2026-34445 actively exploited?

Active exploitation of CVE-2026-34445 has not been confirmed. Its EPSS score was 0.5% on 2026-10-23, the estimated probability of exploitation in the next 30 days.

What is the CVSS score for CVE-2026-34445?

CVE-2026-34445 has a CVSS v3 base score of 8.6 (HIGH severity), with vector string CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:H.

Running onnx? Hear about its next vulnerability

Surveillance reads the versions in your stack — a domain, a lockfile or a list — checks each CVE against the ranges its sources publish, and alerts you when one you run is exploited or enters CISA KEV. A version it cannot read stays « version not verified ».

Get alerts for this productCISA KEV additions, October 2026Search CVEs

No credit card required · No monthly cap on website lookups · 250 API requests/month

Go further

Related vulnerabilities

Same product first, then the same vendor advisory and the same publication week.

Back to CVE Database