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VulnerabilityPublished Updated

CVE-2026-0598: Red Hat Ansible Automation Platform 2.6 · Unverified Ownership

Affects Red Hat Ansible Automation Platform 2.6Source CVE Database V5

0

Not known to be exploited · CVSS 4.2 Medium.

Data as of 26 Oct 2026, 14:05 UTC

CVSS 3.1 base score
4.2Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.2% chance of exploitation in 30 days – higher than 16% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:L/I:L/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 6 Feb 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: 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 26 Oct 2026.

What to do

Affected software

ProductAffectedFixed in
Red HatRed Hat Ansible Automation Platform 2.6Affected–Fixed in–
Red HatRed Hat Ansible Automation Platform 2Affected–Fixed in–

AI-suggested

Red Hat has released an official security update for Ansible Automation Platform 2.6 that addresses this vulnerability. Users should apply the update as described in the Red Hat advisory RHSA-2026:13545 and ensure all previously released errata are applied before upgrading. Patch status is confirmed as an official fix available from Red Hat. No additional mitigation steps are indicated beyond applying the vendor-provided update.

Description

A security flaw was identified in the Ansible Lightspeed API conversation endpoints that handle AI chat interactions. The APIs do not properly verify whether a conversation identifier belongs to the authenticated user making the request. As a result, an attacker with valid credentials could access or influence conversations owned by other users. This exposes sensitive conversation data and allows unauthorized manipulation of AI-generated outputs.

References

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