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PatchSiren cyber security CVE debrief

CVE-2026-71461 Red Hat CVE debrief

CVE-2026-71461 is a vulnerability in HostList.list() that catches bare Exception and returns str(e) verbatim, potentially leaking complete Host model relation graph or raw database error strings via host_filter. Authenticated users may trigger Django FieldError or PostgreSQL DataError. The vulnerability has a CVSS score of 4.3 and is classified as MEDIUM severity.

Vendor
Red Hat
Product
Red Hat Ansible Automation Platform 2.7
CVSS
MEDIUM 4.3
CISA KEV
Not listed in stored evidence
Original CVE published
2026-09-23
Original CVE updated
2026-09-26
Advisory published
2026-09-23
Advisory updated
2026-09-26

Who should care

Defenders and security teams responsible for systems using the affected functionality should assess exposure and potential impact. Roles include security engineers, system administrators, and DevOps teams.

Why it matters

CVE-2026-71461 is a vulnerability that may allow authenticated users to leak sensitive information via host_filter. Defenders should prioritize verifying exposure and assessing potential impact on systems using the affected functionality.

  • Potential leakage of complete Host model relation graph or raw database error strings
  • Authenticated users may trigger Django FieldError or PostgreSQL DataError
  • Verification of exposure and assessment of potential impact are required
  • Remediation and mitigation guidance from the vendor should be reviewed and implemented

Technical summary

The vulnerability is caused by HostList.list() catching bare Exception and returning str(e) verbatim. This allows authenticated users to trigger Django FieldError or PostgreSQL DataError via host_filter, potentially leaking sensitive information, including complete Host model relation graph or raw database error strings. The vulnerability has a CVSS score of 4.3 and is classified as MEDIUM severity. Defenders should prioritize verifying exposure and assessing potential impact on systems using the affected functionality.

Defensive priority

Defenders should prioritize verifying exposure and assessing potential impact on systems using the affected functionality. Inventory checks and monitoring for suspicious activity are recommended.

Recommended defensive actions

  • Verify exposure by checking system inventory and configurations
  • Assess potential impact on systems using the affected functionality
  • Monitor for suspicious activity and implement compensating controls
  • Review vendor-provided resources for remediation and mitigation guidance
  • Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
  • Plan vendor-supported updates or mitigations through normal change control where exposure is confirmed
  • Check relevant monitoring, detection, and logs for exposed assets that need extra review

Evidence notes

The CVE record and NVD entry provide limited information about the vulnerability. Further verification is required to determine the affected versions, exploitation, and remediation. The vulnerability allows authenticated users to potentially leak sensitive information via host_filter, triggering Django FieldError or PostgreSQL DataError. Defenders should verify exposure and assess potential impact on systems using the affected functionality, focusing on inventory checks and monitoring for suspicious activity. The source details are .

Sources and references

Verified primary and authoritative sources

  • CVE-2026-71461 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-71461

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

  • CVE-2026-71461 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-71461

    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.