Ansible Engine
CVE-2020-14332
MEDIUM
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A09:2025 - Security Logging & Alerting Failures
ASVS 5.0
V16 - Security Logging and Error Handling Log output neutralization
|
| Impact | CVSS score of 5.5 (MEDIUM). Attack characteristics: local attack vector, low complexity, low privileges required, no user interaction not required. |
| Exploit ScenarioDerived | Successful exploitation could compromise the medium-severity affected system. |
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Alert meAnalysisAI
A flaw was found in the Ansible Engine when using module_args. Rated medium severity (CVSS 5.5), this vulnerability is low attack complexity.
RemediationAI
A vendor patch is available. Apply the latest security update as soon as possible. Apply vendor patches when available. Implement network segmentation and monitoring as interim mitigations.
Affected Packages
Source: OSV (Open Source Vulnerabilities)
Affects your stack
Affects 1 package in pypi
Checking this CVE against your own stacks and servers is part of the Basic plan and up.
Technical ContextAI · show details
This vulnerability is classified under CWE-117. A flaw was found in the Ansible Engine when using module_args. Tasks executed with check mode (--check-mode) do not properly neutralize sensitive data exposed in the event data. This flaw allows unauthorized users to read this data. The highest threat from this vulnerability is to confidentiality. Affected products include: Redhat Ansible Engine, Debian Debian Linux.
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- Exploit and PoC references, threat intelligence from 22 sources
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Severity by source
AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
Primary rating from NVD · only source for this CVE.
CVSS VectorNVD
DescriptionNVD
A flaw was found in the Ansible Engine when using module_args. Tasks executed with check mode (--check-mode) do not properly neutralize sensitive data exposed in the event data. This flaw allows unauthorized users to read this data. The highest threat from this vulnerability is to confidentiality.
Threat Intelligence Overview
NVD
CVE.org
EPSS
GitHub
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
Information disclosure occurs when an application unintentionally exposes sensitive data that aids attackers in reconnaissance or directly compromises security.
Affected Products (CPE)NVD
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