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VulnerabilityPublished Updated

CVE-2026-71461: Red Hat Ansible Automation Platform 2.7 · Generation of Error Message Containing Sensitive Information

Affects Red Hat Ansible Automation Platform 2.7Source CVE Database V5

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Not known to be exploited · CVSS 4.3 Medium.

Data as of 7 Nov 2026, 23:24 UTC

CVSS 3.1 base score
4.3Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 30% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 23 Sep 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 7 Nov 2026.

What to do

Affected software

ProductAffectedFixed in
Red HatRed Hat Ansible Automation Platform 2.7Affected–Fixed in–
Red HatRed Hat Ansible Automation Platform 2Affected–Fixed in–

AI-suggested

An official update is available from Red Hat to address this issue as part of Red Hat Ansible Automation Platform 2.7 updates. Users should apply the update referenced in Red Hat advisory RHSA-2026:71177. Prior to updating, ensure all previously released errata are applied. No additional mitigation steps are indicated by the vendor advisory.

Description

CVE-2026-71461 is a vulnerability in Red Hat Ansible Automation Platform 2.7 where error messages generated by the HostList.list() function expose sensitive internal information. Authenticated users can trigger exceptions that leak the complete Host model relation graph or raw database error strings through crafted inputs, potentially revealing internal schema details.

References

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