CVE-2025-68704 identifies a cryptographic weakness in the Jervis library, a tool used to facilitate Job DSL plugin scripts and shared Jenkins pipeline libraries. Versions prior to 2.2 utilize java.util.Random(), a pseudo-random number generator that is not designed for cryptographic security. This insufficient randomness can be exploited through timing attacks, where an attacker analyzes the time taken by operations to infer sensitive information or predict random values. Since Jenkins pipelines often automate critical build, test, and deployment processes, compromising the randomness can lead to manipulation or bypassing of security controls embedded in these scripts. The vulnerability is classified under CWE-330 (Use of Insufficiently Random Values) and has a CVSS 4.0 base score of 8.2, indicating high severity. The attack vector is network-based with high attack complexity, no privileges or user interaction required, and impacts confidentiality significantly. Although no known exploits are currently reported, the vulnerability poses a substantial risk to the integrity of CI/CD workflows. The fix implemented in Jervis 2.2 replaces java.util.Random() with a cryptographically secure random number generator, mitigating the timing attack risk. Organizations relying on Jenkins automation should prioritize upgrading to the patched version and review their pipeline security practices.

For European organizations, the vulnerability threatens the integrity and confidentiality of automated CI/CD pipelines that use Jervis versions below 2.2. Exploitation could allow attackers to predict or manipulate random values used in pipeline scripts, potentially leading to unauthorized code execution, bypass of security checks, or injection of malicious artifacts into software builds. This undermines trust in software supply chains and could result in widespread operational disruption, data breaches, or compliance violations. Sectors such as finance, manufacturing, telecommunications, and government agencies that heavily depend on Jenkins for continuous integration and deployment are particularly at risk. The high CVSS score reflects the potential for significant damage despite the high attack complexity. The absence of known exploits suggests a window of opportunity for proactive mitigation before active exploitation occurs. Failure to address this vulnerability could expose European critical infrastructure and enterprises to advanced persistent threats targeting software development pipelines.

1. Upgrade Jervis to version 2.2 or later immediately to ensure the use of cryptographically secure random number generators. 2. Audit all Jenkins pipeline scripts and Job DSL plugins that depend on Jervis to identify and remediate any reliance on insecure randomness. 3. Implement runtime monitoring and anomaly detection for Jenkins pipelines to detect unusual timing patterns or behavior indicative of exploitation attempts. 4. Enforce strict access controls and network segmentation around Jenkins servers to reduce exposure to network-based attacks. 5. Integrate cryptographic best practices into CI/CD pipeline development, including the use of secure random functions and regular security code reviews. 6. Maintain up-to-date backups and incident response plans tailored to CI/CD infrastructure compromise scenarios. 7. Engage in threat intelligence sharing within industry groups to stay informed about emerging exploits targeting Jenkins and related tooling.