CVE-2025-12409: Google Cloud Looker Studio · SQL Injection
Affects Google Cloud Looker StudioSource CVE Database V5
Not known to be exploited · CVSS 7.3 High.
Data as of 26 Oct 2026, 17:16 UTC
- EPSS
- 0.2% chance of exploitation in 30 days – higher than 18% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:A/VC:H/VI:H/VA:L/SC:N/SI:N/SA:N/U:ClearExploitation evidence
Disclosed: evidence found.
CVE published 10 Nov 2025
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| Google Cloud Looker Studio | Affected
| Fixed in– |
AI-suggested
- Immediately verify that all Looker Studio instances are updated to the patched version released on July 7, 2025.
- Restrict sharing of Looker Studio reports to trusted and verified users only, minimizing exposure to potentially malicious reports.
- Disable native functions in Looker Studio reports unless absolutely necessary, as enabling them increases attack surface.
- Implement strict access controls and monitoring on BigQuery datasets to detect unusual query patterns or data access anomalies.
- Educate users about the risks of opening reports from untrusted sources and encourage vigilance against phishing attempts.
- Employ network-level protections such as web application firewalls (WAFs) that can detect and block SQL injection attempts targeting Looker Studio endpoints.
- Regularly audit Looker Studio configurations and BigQuery permissions to ensure least privilege principles are enforced.
- Monitor security advisories from Google Cloud for any updates or additional patches related to this vulnerability.
- Consider implementing data loss prevention (DLP) solutions to detect and prevent unauthorized data exfiltration.
- Conduct penetration testing and vulnerability assessments focusing on Looker Studio and its integration with BigQuery to identify residual risks.
Description
A SQL injection vulnerability was discovered in Looker Studio that allowed for data exfiltration from BigQuery data sources. By creating a malicious report with native functions enabled, and having the victim access the report, an attacker could execute injected SQL queries with the victim's permissions in BigQuery. This vulnerability was patched on 07 July 2025, and no customer action is needed.