High [CVE-2026-49477] Denial of Service via crafted CSS selector strings
This high-severity Red Hat Linux advisory covers CVE-2026-49477 affecting Red Hat Hardened Images, Red Hat OpenShift AI 3.4, Red Hat Quay 3.10.
Aggregated and source-linked by VulniPulse. Data sources, validation and limitations.
VulniPulse record published Record updated
Summary
Soup Sieve is a CSS selector library designed to be used with Beautiful Soup 4.
Prior to 2.8.4, the CSS selector parser in soupsieve contains a regular expression vulnerable to catastrophic backtracking when processing an attribute selector with an unterminated quoted value in soupsieve/css_parser.py, allowing an attacker who can supply untrusted CSS selector strings to soupsieve.compile() or Beautiful Soup.select() /.select_one() to cause CPU exhaustion and denial of service.
This issue is fixed in version 2.8.4. A remote attacker can exploit this by supplying a small, specially crafted CSS selector string to applications that process untrusted CSS, potentially blocking worker threads and causing a complete service denial in affected Red Hat products.
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 Hardened Images; Red Hat OpenShift AI 3.4; Red Hat Quay 3.10; Red Hat Quay 3.12; Red Hat Quay 3.14; Red Hat Quay 3.15; Red Hat Quay 3.16; Red Hat Quay 3.17; Red Hat Quay 3.18; Red Hat Quay 3.9; Exploit Intelligence; Lightspeed Core; Migration Toolkit for Applications 8; Red Hat Ansible Automation Platform 2; Red Hat OpenShift AI (RHOAI); Red Hat OpenShift Container Platform 4; Red Hat OpenShift Virtualization 4.
Will not fix / out of support: Red Hat Ansible Automation Platform 2.
Is CVE-2026-49477 exploited?
No exploitation is reported in the sources VulniPulse tracks: CVE-2026-49477 is not in the CISA KEV catalog (checked ) and this advisory does not report exploitation. That is not proof the vulnerability cannot be exploited.
How do I fix CVE-2026-49477?
Upgrade to a fixed release named by Red Hat:
- 2.8.4
- python-rpds-py-main-2026.6.3-1.hum1
- 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
27 more fixed releases are listed below.
Confirm against the vendor advisory before you patch.
- < 2.8.4
Official advisory · high-confidence parse· fetched 6 days ago·verify at source
- 2.8.4
- python-rpds-py-main-2026.6.3-1.hum1
- 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
- quay/quay-rhel8:1788561841
- quay/quay-rhel8:1788594376
- quay/quay-rhel8:1788593843
- quay/quay-rhel8:1788191755
- quay/quay-rhel9:1789563753
- quay/quay-rhel9:1790690298
- quay/quay-rhel9:1791265590
- quay/quay-rhel8:1788595574
- RHSA-2026:34119
- RHSA-2026:60520
- RHSA-2026:66084
- RHSA-2026:66523
- RHSA-2026:70267
- RHSA-2026:63307
- RHSA-2026:69255
- RHSA-2026:74511
- RHSA-2026:81110
- RHSA-2026:65514
Official advisory · high-confidence parse· fetched 6 days ago·verify at source
Mitigation
Upgrade to a fixed release: 2.8.4, python-rpds-py-main-2026.6.3-1.hum1, 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. That is the remediation for this advisory.
The vendor advisory may list interim mitigations or workarounds not captured here. Review it before change work.
Official advisory · high-confidence parse· fetched 6 days ago·verify at source
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