High [CVE-2026-49851] Denial of Service via crafted Markdown input
This high-severity Red Hat Linux advisory covers CVE-2026-49851 affecting Red Hat OpenShift AI 3.4, Red Hat OpenShift AI (RHOAI).
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Summary
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 (DoS) condition on the affected system.
Red Hat severity: Important — CVSS 7.5 (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H). Weakness: CWE-1333.
Affected Red Hat products: Red Hat OpenShift AI 3.4; Red Hat OpenShift AI (RHOAI). Red Hat fixing advisory: RHSA-2026:60520.
- < 3.3.0
Official advisory · high-confidence parse· fetched 21 days ago·verify at source
- 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
- rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9:1787073459
- rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9:1787073611
- rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9:1787073451
- rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9:1787073451
- rhoai/odh-th06-cpu-torch210-py312-rhel9:1787076778
- rhoai/odh-th06-cuda130-torch210-py312-rhel9:1787077779
- rhoai/odh-th06-rocm64-torch291-py312-rhel9:1787076481
- rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9:1787074331
- rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9:1787073913
- rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9:1787074078
- rhoai/odh-workbench-jupyter-minimal-rocm-py312-rhel9:1787073929
- rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9:1787073605
- rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9:1787073546
- rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9:1787073717
- rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9:1787073713
- rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9:1787073593
- RHSA-2026:60520
Official advisory · high-confidence parse· fetched 21 days ago·verify at source
Mitigation checklist
- 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.
Official advisory · high-confidence parse· fetched 21 days ago·verify at source
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