Cred Leak via Args in Veracode Scan Jenkins Plugin<23.3.19.0 / Azure DevOps Ext<3.20.0
CVE-2023-25722 Published on March 28, 2023
A credential-leak issue was discovered in related Veracode products before 2023-03-27. Veracode Scan Jenkins Plugin before 23.3.19.0, when configured for remote agent jobs, invokes the Veracode Java API Wrapper in a manner that allows local users (with OS-level access of the Jenkins remote) to discover Veracode API credentials by listing the process and its arguments. Veracode Scan Jenkins Plugin before 23.3.19.0, when configured for remote agent jobs and when the "Connect using proxy" option is enabled and configured with proxy credentials, allows local users of the Jenkins remote to discover proxy credentials by listing the process and its arguments. Veracode Azure DevOps Extension before 3.20.0 invokes the Veracode Java API Wrapper in a manner that allows local users (with OS-level access to the Azure DevOps Services cloud infrastructure or Azure DevOps Server) to discover Veracode API credentials by listing the process and its arguments. Veracode Azure DevOps Extension before 3.20.0, when configured with proxy credentials, allows users (with shell access to the Azure DevOps Services cloud infrastructure or Azure DevOps Server) to discover proxy credentials by listing the process and its arguments.
Vulnerability Analysis
CVE-2023-25722 is exploitable with local system access, and requires small amount of user privileges. This vulnerability is considered to have a low 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.
Weakness Type
What is an Information Disclosure Vulnerability?
The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information.
CVE-2023-25722 has been classified to as an Information Disclosure vulnerability or weakness.
Products Associated with CVE-2023-25722
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Exploit Probability
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.