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CVE-2026-71459 Red Hat CVE debrief

CVE-2026-71459 is a vulnerability in Red Hat Ansible Automation Platform 2.5 for RHEL 8, allowing any authenticated user to read event tree structure, event_processing_finished status, and enumerate Job IDs platform-wide. The vulnerability has a CVSS score of 5 and a severity of MEDIUM. This vulnerability affects product deployments in managed environments. Defenders should review the supplied official advisory or CVE record to validate affected scope, severity, and vendor guidance. The vulnerability allows unauthenticated access to sensitive information, including event tree structure and Job IDs.

Vendor
Red Hat
Product
Red Hat Ansible Automation Platform 2.5 for RHEL 8
CVSS
MEDIUM 5
CISA KEV
Not listed in stored evidence
Original CVE published
2026-09-23
Original CVE updated
2026-09-25
Advisory published
2026-09-23
Advisory updated
2026-09-25

Who should care

Defenders responsible for Red Hat Ansible Automation Platform 2.5 for RHEL 8 systems should assess exposure and prioritize verification of this vulnerability. Operators, platform administrators, and security teams need to review and update access controls for JobJobEventsChildrenSummary view. Those managing system security and vulnerability management should also be aware of the potential impacts and take necessary actions.

Why it matters

CVE-2026-71459 is a MEDIUM-severity vulnerability in Red Hat Ansible Automation Platform 2.5 for RHEL 8 that allows authenticated users to read sensitive information. Defenders should prioritize verifying exposure and assessing the impact on their systems.

  • Authenticated users can read sensitive information, including event tree structure and Job IDs
  • Potential for enumeration of Job IDs platform-wide
  • Possible impact on system security due to unauthenticated access to sensitive information

Technical summary

The JobJobEventsChildrenSummary view in Red Hat Ansible Automation Platform 2.5 for RHEL 8 does not properly check permissions, allowing any authenticated user to read event tree structure, event_processing_finished status, and enumerate Job IDs platform-wide. The vulnerability allows unauthenticated access to sensitive information, including event tree structure and Job IDs. This issue arises from the view using raw get_object_or_404(Job, pk) without DRF object-level permission check. Sibling endpoint /jobs/{id}/job_events/ correctly returns 403.

Defensive priority

Defenders should prioritize verifying exposure and assessing the impact of this vulnerability on their systems, particularly those using Red Hat Ansible Automation Platform 2.5 for RHEL 8.

Recommended defensive actions

  • Verify exposure of Red Hat Ansible Automation Platform 2.5 for RHEL 8 systems to this vulnerability
  • Assess the impact of this vulnerability on system security
  • Review and update access controls for JobJobEventsChildrenSummary view
  • Monitor system logs for potential exploitation attempts
  • Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
  • Review the supplied official advisory or CVE record to validate affected scope, severity, and vendor guidance
  • Plan vendor-supported updates or mitigations through normal change control where exposure is confirmed

Evidence notes

The vulnerability allows unauthenticated access to sensitive information, including event tree structure and Job IDs. However, the source corpus does not provide information on exploitation or specific impacts.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-71459 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-71459

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-71459 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-71459

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.