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Highest advisory severityHigh 1 vendor · 1 advisory

CVE-2026-49851

CVE-2026-49851: 1 tracked advisory record across Red Hat. Compare vendor sources and published fix guidance.

Compare the source-linked records below. Ratings and product/version details belong to each advisory; they are not a single CVE-wide score or proof that every listed product is affected. How VulniPulse collects and checks evidence.

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Vendor advisory comparison

Red Hat

1 advisory
  • Advisory severityHigh7.5

    High [CVE-2026-49851] Denial of Service via crafted Markdown input

    CVE-2026-49851Source published Source updated

    Mistune is a Python Markdown parser with renderers and plugins. Prior to 3.3.0, Mistune is vulnerable to a CPU exhaustion DoS due to superlinear (approximately O(n²)) behavior in parse_link_text. When parsing Markdown containing many consecutive [ characters, parse_link_text repeatedly scans the input using a regex search inside a loop. Each iteration re-scans a large portion of the remaining string, resulting in quadratic-time behavior. An attacker-controlled Markdown input can therefore trigger excessive CPU usage with a very small payload. This vulnerability is fixed in 3.3.0. A remote attacker can exploit this vulnerability by providing a specially crafted Markdown input containing many consecutive bracket characters. This can lead to excessive CPU usage, causing a denial-of-service…

    Affected products in this advisory
    • Red Hat OpenShift AI 3.4
    • Red Hat OpenShift AI (RHOAI)
    Source-reported affected versions
    • < 3.3.0
    Source-reported fixed versions
    • 3.3.0
    • rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9:1787073866
    • rhoai/odh-pipeline-runtime-minimal-cpu-py312-rhel9:1787073936
    • rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9:1787073873

    17 more entries in the full advisory.

    Mitigation guidance
    • Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base, or stability.
    Full advisory and evidenceOpen source bulletin

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