RHSA-2026:19366

Vulnerability from csaf_redhat - Published: 2026-05-19 00:00 - Updated: 2026-09-16 18:18
Summary
security update for python-markdown
Severity
Important
Notes
Title of the patch: security update for python-markdown
Description of the patch: This security update provides a functional equivalent of RHSA-2026:19366. The original Red Hat(R) advisory is available from the Red Hat web site at https://access.redhat.com/errata/RHSA-2026:19366.
Patchnames: RHSA-2026:19366
Terms of use: CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
Affected products
Product Identifier Version Remediation
Unresolved product id: SUSE Liberty Linux 9:python3-markdown-3.3.4-4.el9_8.2.noarch —
Vendor Fix
Threats
Impact important

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  "product_tree": {
    "branches": [
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              {
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  "vulnerabilities": [
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        {
          "category": "general",
          "text": "Python-Markdown version 3.8 contain a vulnerability where malformed HTML-like sequences can cause html.parser.HTMLParser to raise an unhandled AssertionError during Markdown parsing. Because Python-Markdown does not catch this exception, any application that processes attacker-controlled Markdown may crash. This enables remote, unauthenticated Denial of Service in web applications, documentation systems, CI/CD pipelines, and any service that renders untrusted Markdown. The issue was acknowledged by the vendor and fixed in version 3.8.1. This issue causes a remote Denial of Service in any application parsing untrusted Markdown, and can lead to Information Disclosure through uncaught exceptions.",
          "title": "CVE description"
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          "url": "https://bugzilla.suse.com/1259256"
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      "remediations": [
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          "details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n",
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      ],
      "title": "CVE-2025-69534"
    }
  ]
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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