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VulnerabilityPublished

CVE-2025-12397: Google Cloud Looker Studio · SQL Injection

Affects Google Cloud Looker StudioSource CVE Database V5

0

Not known to be exploited · CVSS 7.6 High.

Data as of 26 Oct 2026, 14:05 UTC

CVSS 4.0 base score
7.6High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 26% 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:N/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. Ensure all Looker Studio instances are updated to the patched version released on July 21, 2025, by verifying the deployment status with Google Cloud support or through the Google Cloud Console.
  2. Audit and restrict report view permissions rigorously, limiting access to trusted users only, and implement the principle of least privilege.
  3. Monitor BigQuery query logs and Looker Studio activity for unusual or unexpected SQL queries that could indicate exploitation attempts.
  4. Employ anomaly detection tools to flag suspicious data access patterns or injection attempts.
  5. Educate users about the risks of sharing report access and enforce strong authentication mechanisms, including multi-factor authentication, to reduce account compromise risks.
  6. Review and enforce network security controls to limit exposure of Looker Studio and BigQuery interfaces.
  7. Coordinate with Google Cloud support to confirm that all backend patches and mitigations are fully applied.
  8. Prepare incident response plans specifically addressing potential SQL injection exploitation scenarios in cloud analytics environments.

Description

A SQL injection vulnerability was found in Looker Studio. A Looker Studio user with report view access could inject malicious SQL that would execute with the report owner's permissions. The vulnerability affected to reports with BigQuery as the data source. This vulnerability was patched on 21 July 2025, and no customer action is needed.

References

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