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VulniPulse
Advisory severityHigh7.5Red Hat Linux

High [CVE-2026-69244] Denial of Service via malformed HTTP responses

This high-severity Red Hat Linux advisory covers CVE-2026-69244 affecting Red Hat Ansible Automation Platform 2.5 for RHEL 8, Red Hat Ansible Automation Platform 2.5 for RHEL 9, Red Hat Ansible Automation Platform 2.6 for RHEL 9.

Aggregated and source-linked by VulniPulse. Data sources, validation and limitations.

CVE-2026-69244 Source published Source updated

VulniPulse record published Record updated

Affected products & platforms
Red Hat LinuxUnclassified
Open source advisory

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Summary

AIOHTTP is an asynchronous HTTP client/server framework for asyncio and Python. Prior to 3.14.3, an out-of-bounds heap read could occur in the C response parser while building an error message for a malformed response.

An attacker controlled server, or possibly an accidental response, could trigger a DoS in the client. The vulnerable path was error message construction in aiohttp/_http_parser.pyx, where an llhttp error-position pointer was used to build a snippet for malformed chunked responses and malformed request or response bytes at the buffer end.

This issue is fixed in version 3.14.3. This is an Important severity flaw in aiohttp that could lead to a denial of service in client applications.

A remote, malicious HTTP server could send a specially crafted response, causing an out-of-bounds read in the aiohttp C response parser and resulting in the client application terminating unexpectedly. 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-125.

Affected products named by the advisory: Red Hat Ansible Automation Platform 2.5 for RHEL 8; Red Hat Ansible Automation Platform 2.5 for RHEL 9; Red Hat Ansible Automation Platform 2.6 for RHEL 9; Red Hat Satellite 6.16 for RHEL 8; and 19 more.

Affected versions
  • < 3.14.3

Official advisory · high-confidence parse· fetched 30 days ago·verify at source

Fixed versions
  • 3.14.3
  • automation-controller-0:4.6.32-1.el8ap
  • python3.12-aiohttp-0:3.14.3-1.el8ap
  • automation-controller-0:4.6.32-1.el9ap
  • python3.12-aiohttp-0:3.14.3-1.el9ap
  • automation-controller-0:4.7.16-1.el9ap
  • python-aiohttp-0:3.14.3-1.el8pc
  • python-aiohttp-0:3.14.3-1.el9pc
  • ansible-core-1:2.16.19-1.el9sat
  • pulpcore-obsolete-packages-0:1.3.1-5.el9pc
  • python3.12-aiohttp-0:3.14.3-1.el9pc
  • python3.12-pulpcore-0:3.73.30-3.el9pc
  • ansible-automation-platform/ee-minimal-rhel8:1786971288
  • ansible-automation-platform-25/controller-rhel8:1787171942
  • ansible-automation-platform-25/hub-rhel8:1787101922
  • ansible-automation-platform-25/lightspeed-rhel8:1787229385
  • ansible-automation-platform-26/ee-supported-rhel9:1787217357
  • ansible-automation-platform-26/hub-rhel9:1787220598
  • ansible-automation-platform-26/lightspeed-rhel9:1787244079
  • ansible-automation-platform-27/ee-minimal-rhel9:1787217391
  • ansible-automation-platform-27/ee-supported-rhel9:1787235693
  • ansible-automation-platform-27/lightspeed-rhel9:1787217531
  • ansible-automation-platform/ee-minimal-rhel9:1786942232
  • discovery/discovery-server-rhel9:1786638573
  • rhoai/odh-caikit-tgis-serving-rhel9:1787060100
  • rhoai/odh-model-registry-job-async-upload-rhel9:1788232548
  • rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9:1788301844
  • rhoai/odh-pipeline-runtime-minimal-cpu-py312-rhel9:1787815645
  • rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9:1787292256
  • rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9:1786711936
  • rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9:1787652771
  • rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9:1787292260
  • rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9:1787652772
  • rhoai/odh-ta-lmes-job-rhel9:1787330903
  • rhoai/odh-training-cuda121-torch24-py311-rhel9:1788178589
  • rhoai/odh-training-cuda124-torch25-py311-rhel9:1788178620
  • rhoai/odh-training-rocm62-torch24-py311-rhel9:1788178712
  • rhoai/odh-training-rocm62-torch25-py311-rhel9:1788178637
  • rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9:1788315638
  • rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9:1788185839
  • rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9:1788185798
  • RHSA-2026:59135
  • RHSA-2026:59136
  • RHSA-2026:63327
  • RHSA-2026:63387
  • RHSA-2026:63386
  • RHSA-2026:63385
  • RHSA-2026:55853
  • RHSA-2026:59159
  • RHSA-2026:59155

Official advisory · high-confidence parse· fetched 30 days ago·verify at source

Mitigation checklist

Recommended fix / mitigation
  • 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 30 days ago·verify at source

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