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CVE-2023-4380VulnerabilityPublished Updated

CVE-2023-4380: Red Hat Ansible Automation Platform 2.4 for RHEL 8 · Sensitive Data in Logs

Affects Red Hat Ansible Automation Platform 2.4 for RHEL 8Source CVE Database V5

0

Not known to be exploited · CVSS 6.3 Medium.

Data as of 26 Oct 2026, 07:57 UTC

CVSS 3.1 base score
6.3Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.6% chance of exploitation in 30 days – higher than 50% 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:L/A:L

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 4 Oct 2023

  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 2026-10-26.

What to do

AI-suggested

Organizations should immediately audit existing log files for any sensitive credential exposure and restrict access to log storage locations to authorized personnel only. Implement strict access controls and monitoring on log management systems to detect unauthorized access attempts. Until a patch is released by Red Hat, consider disabling or limiting private project creation functionality or using alternative credential management methods that do not log sensitive data. Employ log redaction or filtering tools to sanitize logs proactively. Regularly update and patch the Ansible Automation Platform as vendor fixes become available. Additionally, enforce the principle of least privilege for users interacting with the platform to minimize the risk of exploitation. Conduct security awareness training for administrators to recognize and report suspicious log entries or behavior. Finally, integrate anomaly detection systems to identify unusual access patterns to logs or automation projects.

Description

A logic flaw exists in Ansible Automation platform. Whenever a private project is created with incorrect credentials, they are logged in plaintext. This flaw allows an attacker to retrieve the credentials from the log, resulting in the loss of confidentiality, integrity, and availability.

References

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