CVE-2025-12741: CWE-20 Improper Input Validation in Google Cloud Looker
CVE-2025-12741 is a high-severity vulnerability in Google Cloud Looker affecting self-hosted instances. A user with Developer role can exploit improper input validation in LookML when creating a database connection using the Denodo driver to execute malicious commands. Looker-hosted instances have been mitigated and require no user action, but self-hosted deployments must upgrade to patched versions immediately. The vulnerability has a CVSS 4. 0 score of 7. 7, indicating high impact on confidentiality, integrity, and availability. No known exploits are currently in the wild. Organizations using self-hosted Looker should prioritize patching to prevent potential command injection attacks that could compromise sensitive data and system integrity.
AI Analysis
Technical Summary
CVE-2025-12741 is a vulnerability classified under CWE-20 (Improper Input Validation) found in Google Cloud Looker, specifically impacting self-hosted instances. The flaw allows a user assigned the Developer role to create a database connection using the Denodo driver and manipulate LookML code to execute arbitrary malicious commands on the underlying system. This occurs due to insufficient validation of user-supplied input within LookML configurations, enabling command injection. The vulnerability affects both Looker-hosted and self-hosted deployments; however, Google has already mitigated the issue in Looker-hosted environments, requiring no action from users. Self-hosted instances remain vulnerable unless upgraded to patched versions starting from 24.12.108 and later releases. The CVSS 4.0 vector indicates network attack vector (AV:N), high attack complexity (AC:H), partial privileges required (PR:L), no user interaction (UI:N), and high impact on confidentiality, integrity, and availability (C:H/I:H/A:H). No public exploits have been reported yet, but the potential for severe damage exists if exploited, including unauthorized command execution, data compromise, and system disruption.
Potential Impact
For European organizations, this vulnerability poses a significant risk, especially for those operating self-hosted Looker instances for business intelligence and data analytics. Exploitation could lead to unauthorized command execution, resulting in data breaches, loss of data integrity, and potential service outages. Given Looker's role in handling sensitive business data, attackers could leverage this vulnerability to access confidential information or disrupt critical analytics workflows. The impact is heightened in sectors with strict data protection regulations such as GDPR, where data breaches can lead to substantial fines and reputational damage. Additionally, compromised analytics platforms could be used as pivot points for further network intrusion, increasing the overall threat landscape for affected organizations.
Mitigation Recommendations
European organizations using self-hosted Looker must urgently upgrade to the patched versions listed (24.12.108+, 24.18.200+, 25.0.78+, 25.6.65+, 25.8.47+, 25.12.10+, 25.14+). Beyond patching, restrict Developer role assignments strictly to trusted personnel and regularly audit role permissions to minimize risk exposure. Implement network segmentation to isolate Looker instances from critical infrastructure and monitor LookML changes for unusual or unauthorized modifications. Employ runtime application self-protection (RASP) or web application firewalls (WAF) capable of detecting command injection patterns. Conduct regular security training for developers and administrators on secure LookML practices. Finally, maintain comprehensive logging and alerting to detect suspicious activities promptly.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Italy, Spain
CVE-2025-12741: CWE-20 Improper Input Validation in Google Cloud Looker
Description
CVE-2025-12741 is a high-severity vulnerability in Google Cloud Looker affecting self-hosted instances. A user with Developer role can exploit improper input validation in LookML when creating a database connection using the Denodo driver to execute malicious commands. Looker-hosted instances have been mitigated and require no user action, but self-hosted deployments must upgrade to patched versions immediately. The vulnerability has a CVSS 4. 0 score of 7. 7, indicating high impact on confidentiality, integrity, and availability. No known exploits are currently in the wild. Organizations using self-hosted Looker should prioritize patching to prevent potential command injection attacks that could compromise sensitive data and system integrity.
AI-Powered Analysis
Technical Analysis
CVE-2025-12741 is a vulnerability classified under CWE-20 (Improper Input Validation) found in Google Cloud Looker, specifically impacting self-hosted instances. The flaw allows a user assigned the Developer role to create a database connection using the Denodo driver and manipulate LookML code to execute arbitrary malicious commands on the underlying system. This occurs due to insufficient validation of user-supplied input within LookML configurations, enabling command injection. The vulnerability affects both Looker-hosted and self-hosted deployments; however, Google has already mitigated the issue in Looker-hosted environments, requiring no action from users. Self-hosted instances remain vulnerable unless upgraded to patched versions starting from 24.12.108 and later releases. The CVSS 4.0 vector indicates network attack vector (AV:N), high attack complexity (AC:H), partial privileges required (PR:L), no user interaction (UI:N), and high impact on confidentiality, integrity, and availability (C:H/I:H/A:H). No public exploits have been reported yet, but the potential for severe damage exists if exploited, including unauthorized command execution, data compromise, and system disruption.
Potential Impact
For European organizations, this vulnerability poses a significant risk, especially for those operating self-hosted Looker instances for business intelligence and data analytics. Exploitation could lead to unauthorized command execution, resulting in data breaches, loss of data integrity, and potential service outages. Given Looker's role in handling sensitive business data, attackers could leverage this vulnerability to access confidential information or disrupt critical analytics workflows. The impact is heightened in sectors with strict data protection regulations such as GDPR, where data breaches can lead to substantial fines and reputational damage. Additionally, compromised analytics platforms could be used as pivot points for further network intrusion, increasing the overall threat landscape for affected organizations.
Mitigation Recommendations
European organizations using self-hosted Looker must urgently upgrade to the patched versions listed (24.12.108+, 24.18.200+, 25.0.78+, 25.6.65+, 25.8.47+, 25.12.10+, 25.14+). Beyond patching, restrict Developer role assignments strictly to trusted personnel and regularly audit role permissions to minimize risk exposure. Implement network segmentation to isolate Looker instances from critical infrastructure and monitor LookML changes for unusual or unauthorized modifications. Employ runtime application self-protection (RASP) or web application firewalls (WAF) capable of detecting command injection patterns. Conduct regular security training for developers and administrators on secure LookML practices. Finally, maintain comprehensive logging and alerting to detect suspicious activities promptly.
Affected Countries
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GoogleCloud
- Date Reserved
- 2025-11-05T10:50:34.070Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 69244dd2911d225366056a7a
Added to database: 11/24/2025, 12:21:38 PM
Last enriched: 12/1/2025, 1:18:53 PM
Last updated: 1/8/2026, 6:02:46 PM
Views: 64
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