AAP: Clear Text Client Secret Exposure in Gateway API
CVE-2025-7738 Published on July 31, 2025

Python3.11-django-ansible-base: sensitive authenticator secrets returned in clear text via api in aap
A flaw was found in Ansible Automation Platform (AAP) where the Gateway API returns the client secret for certain GitHub Enterprise authenticators in clear text. This vulnerability affects administrators or auditors accessing authenticator configurations. While access is limited to privileged users, the clear text exposure of sensitive credentials increases the risk of accidental leaks or misuse.

Vendor Advisory NVD

Vulnerability Analysis

CVE-2025-7738 is exploitable with network access, and requires user privileges. This vulnerability is consided to have a high level of attack complexity. The potential impact of an exploit of this vulnerability is considered to have a high impact on confidentiality, with no impact on integrity and availability.

Attack Vector:
NETWORK
Attack Complexity:
HIGH
Privileges Required:
HIGH
User Interaction:
NONE
Scope:
UNCHANGED
Confidentiality Impact:
HIGH
Integrity Impact:
NONE
Availability Impact:
NONE

Timeline

Reported to Red Hat.

Made public.

Weakness Type

Cleartext Storage of Sensitive Information

The application stores sensitive information in cleartext within a resource that might be accessible to another control sphere. Because the information is stored in cleartext, attackers could potentially read it. Even if the information is encoded in a way that is not human-readable, certain techniques could determine which encoding is being used, then decode the information.


Products Associated with CVE-2025-7738

You can be notified by email with stack.watch whenever vulnerabilities like CVE-2025-7738 are published in these products:

 
 

Affected Versions

django-ansible-base: Red Hat Ansible Automation Platform 2.5 for RHEL 8: Red Hat Ansible Automation Platform 2.5 for RHEL 9:

Exploit Probability

EPSS
0.02%
Percentile
4.42%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.