CVE-2019-10447 in Sofy.AI Plugin
Summary
by MITRE
Jenkins Sofy.AI Plugin stores credentials unencrypted in job config.xml files on the Jenkins master where they can be viewed by users with Extended Read permission, or access to the master file system.
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Analysis
by VulDB Data Team • 10/16/2019
The vulnerability identified as CVE-2019-10447 affects the Jenkins Sofy.AI Plugin and represents a critical security flaw in credential handling practices within the Jenkins continuous integration platform. This issue stems from the plugin's improper storage of sensitive authentication information in plain text format within job configuration files, specifically within the config.xml files that reside on the Jenkins master server. The flaw directly violates fundamental security principles by failing to implement proper encryption or obfuscation mechanisms for storing credentials, leaving them exposed to unauthorized access.
The technical implementation of this vulnerability occurs at the configuration persistence layer where the plugin writes credential data directly to the filesystem without adequate security measures. When Jenkins processes jobs that utilize the Sofy.AI plugin, the authentication details including usernames, passwords, or API keys are serialized into the config.xml file in an unencrypted format. This design flaw allows any user with Extended Read permission on the Jenkins instance or direct access to the master server's file system to extract and read these credentials without additional authentication requirements. The vulnerability essentially creates an attack surface where sensitive information stored in plain text becomes accessible to anyone who can read the job configuration files.
The operational impact of this vulnerability extends beyond simple credential exposure, as it fundamentally undermines the security model of Jenkins installations that rely on the plugin for automation tasks. Attackers who gain access to the Jenkins master file system or obtain Extended Read permissions can extract multiple sets of credentials from various job configurations, potentially compromising multiple systems and services that the Jenkins instance interacts with. This exposure can lead to unauthorized access to external systems, data breaches, privilege escalation attacks, and broader network compromise. The vulnerability particularly affects organizations that do not properly segment their Jenkins environments or implement adequate access controls, as it allows for credential theft without requiring elevated privileges beyond what is already granted to legitimate users.
Organizations should immediately implement mitigations that include upgrading to patched versions of the Sofy.AI plugin where available, implementing strict access controls to prevent unauthorized file system access, and conducting comprehensive audits of all Jenkins job configurations to identify and remediate exposed credentials. The mitigation strategy should also involve implementing proper credential management practices such as using Jenkins' built-in credential stores, implementing role-based access controls, and regularly rotating credentials that have been exposed through this vulnerability. Additionally, organizations should consider implementing file integrity monitoring solutions and privilege access management tools to detect and prevent unauthorized access to sensitive configuration files. This vulnerability aligns with CWE-312 (Cleartext Storage of Sensitive Information) and represents a significant concern under the ATT&CK framework's credential access tactics, specifically targeting the T1555.003 technique for credentials from password storage modules. The flaw demonstrates the critical importance of secure credential handling practices in CI/CD environments and highlights the need for comprehensive security controls throughout the software development lifecycle.