<Vulnerability name="CVE-2026-59926">
    <DocumentDistribution xml:lang="en">Copyright © 2012 Red Hat, Inc. All rights reserved.</DocumentDistribution>
    <ThreatSeverity>Moderate</ThreatSeverity>
    <PublicDate>2026-07-08T16:16:15</PublicDate>
    <Bugzilla id="2498149" url="https://bugzilla.redhat.com/show_bug.cgi?id=2498149" xml:lang="en:us">
mistune: Mistune: Cross-Site Scripting via unescaped HTML class attribute in Admonition directive
    </Bugzilla>
    <CVSS3 status="draft">
        <CVSS3BaseScore>5.4</CVSS3BaseScore>
        <CVSS3ScoringVector>CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:N</CVSS3ScoringVector>
    </CVSS3>
    <CWE>CWE-79</CWE>
    <Details xml:lang="en:us" source="Mitre">
Mistune is a Python Markdown parser with renderers and plugins. Prior to 3.2.1, render_admonition() in src/mistune/directives/admonition.py concatenates the Admonition directive :class: option into the HTML class attribute without escaping, allowing attribute injection and cross-site scripting even when HTMLRenderer escape mode is enabled. This issue is fixed in version 3.2.1.
    </Details>
    <Details xml:lang="en:us" source="Red Hat">
A flaw was found in Mistune, a Python Markdown parser. The `render_admonition()` function in the Admonition directive concatenates user-controlled input into the HTML class attribute without proper escaping. This vulnerability allows for attribute injection and Cross-Site Scripting (XSS) attacks, even when the HTMLRenderer escape mode is enabled. A remote attacker could exploit this by providing specially crafted input, leading to the execution of arbitrary script code in the user's browser.
    </Details>
    <Statement xml:lang="en:us">
This Moderate flaw in the Mistune Markdown parser allows for Cross-Site Scripting (XSS) due to improper sanitization of user-controlled input within the Admonition directive's class attribute. An attacker could exploit this by providing specially crafted Markdown content, leading to the execution of arbitrary script code in a user's browser when the content is rendered. This vulnerability requires user interaction with malicious content for successful exploitation.
    </Statement>
    <Mitigation xml:lang="en:us">
To mitigate this issue, avoid processing untrusted or unvalidated Markdown content with affected versions of the Mistune library. Implement robust input validation and sanitization for any user-provided Markdown before rendering to prevent the injection of malicious attributes or scripts.
    </Mitigation>
    <PackageState cpe="cpe:/a:redhat:migration_toolkit_applications:8">
        <ProductName>Migration Toolkit for Applications 8</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>mta/mta-solution-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-minimal-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-th06-cpu-torch210-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-th06-cpu-torch291-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-th06-cuda130-torch210-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-th06-cuda130-torch291-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-th06-rocm64-torch291-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-minimal-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-minimal-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-minimal-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-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>
    <PackageState cpe="cpe:/a:redhat:openshift:4">
        <ProductName>Red Hat OpenShift Container Platform 4</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>python-mistune</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:satellite:6">
        <ProductName>Red Hat Satellite 6</ProductName>
        <FixState>Under investigation</FixState>
        <PackageName>satellite/iop-advisor-engine-rhel9</PackageName>
    </PackageState>
    <References xml:lang="en:us">
https://www.cve.org/CVERecord?id=CVE-2026-59926
https://nvd.nist.gov/vuln/detail/CVE-2026-59926
https://github.com/lepture/mistune/commit/a3cb6e5655308797e8be021d6c7b5bab13cbace2
https://github.com/lepture/mistune/releases/tag/v3.2.1
https://github.com/lepture/mistune/security/advisories/GHSA-g97x-gvcm-x72h
    </References>
</Vulnerability>