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VulnerabilityPublished

CVE-2025-12409: Google Cloud Looker Studio · SQL Injection

Affects Google Cloud Looker StudioSource CVE Database V5

0

Not known to be exploited · CVSS 7.3 High.

Data as of 26 Oct 2026, 17:16 UTC

CVSS 4.0 base score
7.3High
How severe the flaw is on the 0–10 CVSS scale.
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:Clear

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 10 Nov 2025

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq 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

ProductAffectedFixed in
Google Cloud Looker StudioAffected
  • =0
Fixed in–

AI-suggested

  1. Immediately verify that all Looker Studio instances are updated to the patched version released on July 7, 2025.
  2. Restrict sharing of Looker Studio reports to trusted and verified users only, minimizing exposure to potentially malicious reports.
  3. Disable native functions in Looker Studio reports unless absolutely necessary, as enabling them increases attack surface.
  4. Implement strict access controls and monitoring on BigQuery datasets to detect unusual query patterns or data access anomalies.
  5. Educate users about the risks of opening reports from untrusted sources and encourage vigilance against phishing attempts.
  6. Employ network-level protections such as web application firewalls (WAFs) that can detect and block SQL injection attempts targeting Looker Studio endpoints.
  7. Regularly audit Looker Studio configurations and BigQuery permissions to ensure least privilege principles are enforced.
  8. Monitor security advisories from Google Cloud for any updates or additional patches related to this vulnerability.
  9. Consider implementing data loss prevention (DLP) solutions to detect and prevent unauthorized data exfiltration.
  10. 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.

References

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