Skip to main content
Press slash or control plus K to focus the search. Use the arrow keys to navigate results and press enter to open a threat.
Reconnecting to live updates…

CVE-2025-12741: CWE-20 Improper Input Validation in Google Cloud Looker

0
High
VulnerabilityCVE-2025-12741cvecve-2025-12741cwe-20
Published: Mon Nov 24 2025 (11/24/2025, 11:35:33 UTC)
Source: CVE Database V5
Vendor/Project: Google Cloud
Product: Looker

Description

A Looker user with Developer role could create a database connection using Denodo driver and, by manipulating LookML, cause Looker to execute a malicious command. Looker-hosted and Self-hosted were found to be vulnerable. This issue has already been mitigated for Looker-hosted instances. No user action is required for these. Self-hosted instances must be upgraded as soon as possible. This vulnerability has been patched in all supported versions of Self-hosted. The versions below have all been updated to protect from this vulnerability. You can download these versions at the Looker download page https://download.looker.com/ : * 24.12.108+ * 24.18.200+ * 25.0.78+ * 25.6.65+ * 25.8.47+ * 25.12.10+ * 25.14+

AI-Powered Analysis

AILast updated: 11/24/2025, 12:23:09 UTC

Technical Analysis

CVE-2025-12741 is an improper input validation vulnerability (CWE-20) in Google Cloud Looker, specifically triggered when a user with Developer role creates a database connection using the Denodo driver and manipulates LookML to execute arbitrary malicious commands. LookML is Looker's modeling language that defines data relationships and queries. The vulnerability allows command execution due to insufficient sanitization of inputs in the connection setup process. Both Looker-hosted and self-hosted deployments were initially vulnerable; however, Google has already mitigated the issue in Looker-hosted environments, requiring no action from users. Self-hosted instances remain vulnerable until upgraded to patched versions starting from 24.12.108 and above. The CVSS 4.0 vector indicates network attack vector (AV:N), high complexity (AC:H), partial authentication (AT:P), low privileges required (PR:L), no user interaction (UI:N), and high impact on confidentiality, integrity, and availability (VC:H/VI:H/VA:H). This means an attacker with developer access can remotely exploit this flaw without additional user interaction, potentially leading to full system compromise or data breach. No public exploits have been reported yet, but the risk remains significant given the nature of the vulnerability and the privileged role required to exploit it.

Potential Impact

For European organizations, the impact of this vulnerability can be severe, especially for those relying on self-hosted Looker instances for business intelligence and data analytics. Exploitation could lead to unauthorized command execution on the Looker server, potentially compromising sensitive business data, intellectual property, and customer information. This could result in data breaches, disruption of analytics operations, and loss of trust. Given Looker's integration with various data sources, attackers might pivot to other internal systems, escalating the breach impact. The high CVSS score reflects the critical nature of confidentiality, integrity, and availability impacts. Organizations in regulated sectors such as finance, healthcare, and government within Europe could face regulatory penalties if data is compromised. The fact that Looker-hosted instances are already mitigated reduces risk for cloud users, but self-hosted deployments remain a significant concern.

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+). Immediate patching is critical to prevent exploitation. Additionally, organizations should audit and restrict Developer role assignments to trusted personnel only, minimizing the risk of insider threats. Implement network segmentation and strict access controls around Looker servers to limit exposure. Monitor Looker logs for unusual activity related to database connections and LookML changes. Employ runtime application self-protection (RASP) or web application firewalls (WAF) with custom rules to detect and block suspicious command injection attempts. Regularly review and update security policies related to data analytics platforms. Finally, ensure incident response plans include scenarios involving Looker compromise to enable rapid containment and remediation.

Need more detailed analysis?Get Pro

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: 11/24/2025, 12:23:09 PM

Last updated: 11/24/2025, 1:33:19 PM

Views: 3

Community Reviews

0 reviews

Crowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.

Sort by
Loading community insights…

Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.

Actions

PRO

Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.

Please log in to the Console to use AI analysis features.

Need enhanced features?

Contact root@offseq.com for Pro access with improved analysis and higher rate limits.

Latest Threats