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AVID-2026-R1625

Description

Ansible-core: exposure of sensitive information in ansible vault files due to improper logging (CVE-2024-8775)

Details

A flaw was found in Ansible, where sensitive information stored in Ansible Vault files can be exposed in plaintext during the execution of a playbook. This occurs when using tasks such as include_vars to load vaulted variables without setting the no_log: true parameter, resulting in sensitive data being printed in the playbook output or logs. This can lead to the unintentional disclosure of secrets like passwords or API keys, compromising security and potentially allowing unauthorized access or actions.

Reason for inclusion in AVID: CVE-2024-8775 describes exposure of sensitive data in Ansible Vault files due to improper logging in Ansible-core. While not AI-specific, Ansible is widely used to deploy and manage AI/ML infrastructures and pipelines (orchestrating deployment, configuration, and runtime environments). A leak of secrets during automation can compromise AI system deployment/build processes, making it a software supply-chain concern for general-purpose AI systems. It is a vulnerability (privacy/confidentiality impact) in a software component commonly used in AI stacks. The report provides explicit evidence (CVE description, CVSS, and references).

References

Affected or Relevant Artifacts

  • Developer: Red Hat
  • Deployer: Red Hat
  • Artifact Details:
TypeName
SystemAnsible Automation Platform Execution Environments
SystemAnsible Automation Platform Execution Environments
SystemAnsible Automation Platform Execution Environments
SystemAnsible Automation Platform Execution Environments
SystemAnsible Automation Platform Execution Environments
SystemDiscovery 1 for RHEL 9
SystemDiscovery 1 for RHEL 9
SystemRed Hat Ansible Automation Platform 2.4 for RHEL 8
SystemRed Hat Ansible Automation Platform 2.4 for RHEL 9
SystemRed Hat Ansible Automation Platform 2.5 for RHEL 8
SystemRed Hat Ansible Automation Platform 2.5 for RHEL 9
SystemRed Hat Enterprise Linux 10
SystemRed Hat Enterprise Linux AI (RHEL AI)

Impact

AVID Taxonomy Categorization

  • Risk domains: Security
  • SEP subcategories: S0100: Software Vulnerability
  • Lifecycle stages: L06: Deployment

CVSS

Version3.1
Vector StringCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
Base Score5.5
Base Severity🟠 Medium
Attack VectorLOCAL
Attack Complexity🟢 Low
Privileges Required🟢 Low
User InteractionNONE
ScopeUNCHANGED
Confidentiality Impact🔴 High
Integrity ImpactNONE
Availability ImpactNONE

CWE

IDDescription
CWE-532Insertion of Sensitive Information into Log File

Other information

  • Report Type: Advisory
  • Credits:
  • Date Reported: 2024-09-14
  • Version: 0.3.3
  • AVID Entry