CVE-2025-52467
CVE-2025-52467
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- None
Description
pgai is a Python library that transforms PostgreSQL into a retrieval engine for RAG and Agentic applications. Prior to commit 8eb3567, the pgai repository was vulnerable to an attack allowing the exfiltration of all secrets used in one workflow. In particular, the GITHUB_TOKEN with write permissions for the repository, allowing an attacker to tamper with all aspects of the repository, including pushing arbitrary code and releases. This issue has been patched in commit 8eb3567.
Comprehensive Technical Analysis of CVE-2025-52467
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2025-52467 CVSS Score: 9.1
The vulnerability in the pgai Python library, which transforms PostgreSQL into a retrieval engine for RAG and Agentic applications, is severe. The CVSS score of 9.1 indicates a critical vulnerability that poses a significant risk to the integrity and confidentiality of the affected systems. The vulnerability allows for the exfiltration of all secrets used in one workflow, including the GITHUB_TOKEN with write permissions. This can lead to unauthorized access and tampering with the repository, including pushing arbitrary code and releases.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Exfiltration of Secrets: An attacker could exploit the vulnerability to exfiltrate sensitive information, such as the GITHUB_TOKEN, which has write permissions for the repository.
- Repository Tampering: With the exfiltrated GITHUB_TOKEN, an attacker could push arbitrary code, modify existing code, and create new releases, effectively compromising the integrity of the repository.
- Supply Chain Attack: An attacker could introduce malicious code into the repository, which could then be distributed to users, leading to further compromise downstream.
Exploitation Methods:
- Network Sniffing: An attacker could intercept network traffic to capture secrets.
- Code Injection: An attacker could inject malicious code into the repository using the exfiltrated GITHUB_TOKEN.
- Phishing: An attacker could use social engineering techniques to trick developers into revealing sensitive information.
3. Affected Systems and Software Versions
Affected Systems:
- Any system using the pgai Python library prior to commit 8eb3567.
- Systems that rely on PostgreSQL for RAG and Agentic applications.
Software Versions:
- All versions of the pgai library prior to the patch introduced in commit 8eb3567.
4. Recommended Mitigation Strategies
Immediate Actions:
- Update to the Latest Version: Ensure that all instances of the pgai library are updated to the version that includes the patch from commit 8eb3567.
- Rotate Secrets: Immediately rotate all secrets, including the GITHUB_TOKEN, and revoke any compromised tokens.
- Monitor Repository: Closely monitor the repository for any unauthorized changes or suspicious activity.
Long-Term Strategies:
- Implement Strong Access Controls: Enforce strict access controls and use least privilege principles for repository access.
- Regular Audits: Conduct regular security audits and code reviews to identify and mitigate potential vulnerabilities.
- Use Secure Communication Channels: Ensure that all communication channels, especially those involving sensitive information, are encrypted and secure.
5. Impact on Cybersecurity Landscape
The vulnerability highlights the critical importance of securing secrets and access controls in software development and deployment pipelines. The potential for supply chain attacks underscores the need for robust security practices throughout the software development lifecycle. Organizations must prioritize the protection of sensitive information and ensure that all dependencies are regularly updated and patched.
6. Technical Details for Security Professionals
Vulnerability Details:
- Root Cause: The vulnerability stems from inadequate protection of secrets within the pgai library, allowing for their exfiltration.
- Patch Information: The issue has been addressed in commit 8eb3567, which includes fixes to prevent the exfiltration of secrets.
References:
Additional Recommendations:
- Incident Response Plan: Develop and maintain an incident response plan to quickly address any security breaches.
- Security Training: Provide regular security training for developers and other stakeholders to raise awareness of potential threats and best practices.
By addressing these points, organizations can effectively mitigate the risks associated with CVE-2025-52467 and enhance their overall cybersecurity posture.