Bug 2498215 (CVE-2026-44512)
| Summary: | CVE-2026-44512 onnx: ONNX: Denial of Service via crafted untrusted models | ||
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| Product: | [Other] Security Response | Reporter: | OSIDB Bzimport <bzimport> |
| Component: | vulnerability | Assignee: | Product Security <prodsec-ir-bot> |
| Status: | NEW --- | QA Contact: | |
| Severity: | medium | Docs Contact: | |
| Priority: | medium | ||
| Version: | unspecified | Keywords: | Security |
| Target Milestone: | --- | ||
| Target Release: | --- | ||
| Hardware: | All | ||
| OS: | Linux | ||
| Whiteboard: | |||
| Fixed In Version: | Doc Type: | --- | |
| Doc Text: |
A flaw was found in Open Neural Network Exchange (ONNX), an open standard for machine learning interoperability. This vulnerability allows a remote attacker to cause an unrecoverable denial of service (DoS) by providing a specially crafted untrusted model. The flaw occurs when the onnx.version_converter.convert_version() function attempts to process an Upsample node with zero inputs, leading to a null pointer dereference and a system crash.
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Story Points: | --- |
| Clone Of: | Environment: | ||
| Last Closed: | Type: | --- | |
| Regression: | --- | Mount Type: | --- |
| Documentation: | --- | CRM: | |
| Verified Versions: | Category: | --- | |
| oVirt Team: | --- | RHEL 7.3 requirements from Atomic Host: | |
| Cloudforms Team: | --- | Target Upstream Version: | |
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Description
OSIDB Bzimport
2026-07-08 20:02:45 UTC
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