<Vulnerability name="CVE-2026-44512">
    <DocumentDistribution xml:lang="en">Copyright © 2012 Red Hat, Inc. All rights reserved.</DocumentDistribution>
    <ThreatSeverity>Moderate</ThreatSeverity>
    <PublicDate>2026-07-08T19:32:04</PublicDate>
    <Bugzilla id="2498215" url="https://bugzilla.redhat.com/show_bug.cgi?id=2498215" xml:lang="en:us">
onnx: ONNX: Denial of Service via crafted untrusted models
    </Bugzilla>
    <CVSS3 status="draft">
        <CVSS3BaseScore>6.5</CVSS3BaseScore>
        <CVSS3ScoringVector>CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H</CVSS3ScoringVector>
    </CVSS3>
    <CWE>CWE-476</CWE>
    <Details xml:lang="en:us" source="Mitre">
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. From 1.9.0 before 1.22.0, onnx.version_converter.convert_version() can dereference a null pointer in Upsample_6_7::adapt_upsample_6_7() in onnx/version_converter/adapters/upsample_6_7.h when processing an untrusted model with an Upsample node that has zero inputs, causing an unrecoverable denial of service. This issue is fixed in version 1.22.0.
    </Details>
    <Details xml:lang="en:us" source="Red Hat">
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.
    </Details>
    <Statement xml:lang="en:us">
This Moderate impact denial of service flaw in Open Neural Network Exchange (ONNX) can be triggered when processing a specially crafted untrusted model. A remote attacker could exploit this by providing a malicious model with an Upsample node having zero inputs, leading to a null pointer dereference and an unrecoverable system crash. This requires user interaction to process the untrusted model.
    </Statement>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-mlserver-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-openvino-model-server-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-workbench-codeserver-datascience-cpu-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9</PackageName>
    </PackageState>
    <References xml:lang="en:us">
https://www.cve.org/CVERecord?id=CVE-2026-44512
https://nvd.nist.gov/vuln/detail/CVE-2026-44512
https://github.com/onnx/onnx/commit/cd310408165ad47c3cd7eb2b86cb5b80aa2e4fdf
https://github.com/onnx/onnx/pull/7813
https://github.com/onnx/onnx/releases/tag/v1.22.0
https://github.com/onnx/onnx/security/advisories/GHSA-hwpq-hmq9-wj77
    </References>
</Vulnerability>