CVE-2025-52467: CWE-200: Exposure of Sensitive Information to an Unauthorized Actor in timescale pgai
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.
AI Analysis
Technical Summary
CVE-2025-52467 is a critical vulnerability affecting the 'pgai' Python library developed by Timescale. Pgai is designed to transform PostgreSQL into a retrieval engine for Retrieval-Augmented Generation (RAG) and Agentic applications, which are increasingly used in AI-driven workflows. The vulnerability arises from an exposure of sensitive information (classified under CWE-200) that allows unauthorized actors to exfiltrate all secrets used within a single workflow. Specifically, the flaw enables attackers to obtain the GITHUB_TOKEN with write permissions for the repository. This token is highly privileged, granting the ability to modify repository contents, push arbitrary code, and create or alter releases. The vulnerability existed in all versions of pgai prior to commit 8eb3567 (i.e., versions before 8eb356729c33560ce54b88b9a956960ad1e3ede8). The issue was patched in that commit, eliminating the exposure vector. The CVSS v3.1 base score is 9.1, reflecting the critical nature of the vulnerability, with an attack vector of network (AV:N), no privileges required (PR:N), no user interaction (UI:N), and high impact on confidentiality and integrity (C:H/I:H), but no impact on availability (A:N). No known exploits are currently reported in the wild, but the potential for abuse is significant given the token's permissions and the ability to fully compromise the repository and its workflows. This vulnerability is particularly concerning for organizations relying on pgai in their AI or data infrastructure, as it could lead to supply chain attacks, unauthorized code injection, and compromise of sensitive intellectual property or operational workflows.
Potential Impact
For European organizations, the impact of CVE-2025-52467 could be severe. Organizations using pgai in their AI or data processing pipelines risk unauthorized disclosure of secrets, leading to repository takeover. This could result in malicious code being injected into software releases, undermining software integrity and trust. The compromise of GITHUB_TOKEN with write permissions could enable attackers to manipulate CI/CD workflows, exfiltrate sensitive data, or disrupt development processes. Given the increasing adoption of AI-driven applications and PostgreSQL-based solutions across European industries—including finance, healthcare, and manufacturing—the vulnerability could facilitate supply chain attacks that propagate downstream to customers and partners. The exposure could also lead to regulatory and compliance issues under GDPR if personal or sensitive data is indirectly compromised. Furthermore, the ability to push arbitrary code or releases could be exploited for espionage, sabotage, or ransomware deployment, impacting business continuity and reputation.
Mitigation Recommendations
1. Immediate upgrade: European organizations using pgai should upgrade to the patched version at or beyond commit 8eb3567 to eliminate the vulnerability. 2. Token scope reduction: Review and minimize the permissions of GITHUB_TOKEN used in workflows, restricting write permissions unless absolutely necessary. 3. Secrets management: Implement robust secrets management practices, such as using GitHub Actions secrets vaults with strict access controls and rotating tokens regularly. 4. Workflow audit: Conduct thorough audits of GitHub workflows to detect any exposure of secrets or tokens in logs, environment variables, or outputs. 5. Monitoring and alerting: Enable monitoring for unusual repository activity, including unexpected pushes, branch creations, or release modifications. 6. Access controls: Enforce least privilege principles for repository collaborators and integrate multi-factor authentication (MFA) for GitHub accounts. 7. Incident response readiness: Prepare incident response plans specifically for supply chain compromise scenarios, including rapid token revocation and repository lockdown procedures. 8. Dependency management: Track and manage dependencies on pgai carefully, ensuring that vulnerable versions are not used in production or CI/CD pipelines. 9. Network segmentation: Where possible, isolate build and deployment environments to limit the blast radius of any compromise. These measures, combined with the patch, will significantly reduce the risk posed by this vulnerability.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Finland, Denmark, Ireland, Belgium, Switzerland
CVE-2025-52467: CWE-200: Exposure of Sensitive Information to an Unauthorized Actor in timescale pgai
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.
AI-Powered Analysis
Technical Analysis
CVE-2025-52467 is a critical vulnerability affecting the 'pgai' Python library developed by Timescale. Pgai is designed to transform PostgreSQL into a retrieval engine for Retrieval-Augmented Generation (RAG) and Agentic applications, which are increasingly used in AI-driven workflows. The vulnerability arises from an exposure of sensitive information (classified under CWE-200) that allows unauthorized actors to exfiltrate all secrets used within a single workflow. Specifically, the flaw enables attackers to obtain the GITHUB_TOKEN with write permissions for the repository. This token is highly privileged, granting the ability to modify repository contents, push arbitrary code, and create or alter releases. The vulnerability existed in all versions of pgai prior to commit 8eb3567 (i.e., versions before 8eb356729c33560ce54b88b9a956960ad1e3ede8). The issue was patched in that commit, eliminating the exposure vector. The CVSS v3.1 base score is 9.1, reflecting the critical nature of the vulnerability, with an attack vector of network (AV:N), no privileges required (PR:N), no user interaction (UI:N), and high impact on confidentiality and integrity (C:H/I:H), but no impact on availability (A:N). No known exploits are currently reported in the wild, but the potential for abuse is significant given the token's permissions and the ability to fully compromise the repository and its workflows. This vulnerability is particularly concerning for organizations relying on pgai in their AI or data infrastructure, as it could lead to supply chain attacks, unauthorized code injection, and compromise of sensitive intellectual property or operational workflows.
Potential Impact
For European organizations, the impact of CVE-2025-52467 could be severe. Organizations using pgai in their AI or data processing pipelines risk unauthorized disclosure of secrets, leading to repository takeover. This could result in malicious code being injected into software releases, undermining software integrity and trust. The compromise of GITHUB_TOKEN with write permissions could enable attackers to manipulate CI/CD workflows, exfiltrate sensitive data, or disrupt development processes. Given the increasing adoption of AI-driven applications and PostgreSQL-based solutions across European industries—including finance, healthcare, and manufacturing—the vulnerability could facilitate supply chain attacks that propagate downstream to customers and partners. The exposure could also lead to regulatory and compliance issues under GDPR if personal or sensitive data is indirectly compromised. Furthermore, the ability to push arbitrary code or releases could be exploited for espionage, sabotage, or ransomware deployment, impacting business continuity and reputation.
Mitigation Recommendations
1. Immediate upgrade: European organizations using pgai should upgrade to the patched version at or beyond commit 8eb3567 to eliminate the vulnerability. 2. Token scope reduction: Review and minimize the permissions of GITHUB_TOKEN used in workflows, restricting write permissions unless absolutely necessary. 3. Secrets management: Implement robust secrets management practices, such as using GitHub Actions secrets vaults with strict access controls and rotating tokens regularly. 4. Workflow audit: Conduct thorough audits of GitHub workflows to detect any exposure of secrets or tokens in logs, environment variables, or outputs. 5. Monitoring and alerting: Enable monitoring for unusual repository activity, including unexpected pushes, branch creations, or release modifications. 6. Access controls: Enforce least privilege principles for repository collaborators and integrate multi-factor authentication (MFA) for GitHub accounts. 7. Incident response readiness: Prepare incident response plans specifically for supply chain compromise scenarios, including rapid token revocation and repository lockdown procedures. 8. Dependency management: Track and manage dependencies on pgai carefully, ensuring that vulnerable versions are not used in production or CI/CD pipelines. 9. Network segmentation: Where possible, isolate build and deployment environments to limit the blast radius of any compromise. These measures, combined with the patch, will significantly reduce the risk posed by this vulnerability.
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2025-06-17T02:28:39.716Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 6853811e33c7acc046082f90
Added to database: 6/19/2025, 3:16:46 AM
Last enriched: 6/19/2025, 3:31:42 AM
Last updated: 9/28/2025, 12:57:16 PM
Views: 104
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