CVE-2026-3259: CWE-209 Generation of error message containing sensitive information in Google Cloud BigQuery
A Generation of Error Message Containing Sensitive Information vulnerability in the Materialized View Refresh mechanism in Google BigQuery on Google Cloud Platform allows an authenticated user to potentially disclose sensitive data using a crafted materialized view that triggers a runtime error during the refresh process. This vulnerability was patched on 29 January 2026, and no customer action is needed.
AI Analysis
Technical Summary
This vulnerability (CVE-2026-3259) in Google Cloud BigQuery arises from the Materialized View Refresh mechanism generating error messages that include sensitive information. An authenticated user can exploit this by creating a crafted materialized view that triggers a runtime error during refresh, potentially exposing sensitive data. The vulnerability has been patched by Google as of January 29, 2026. Since BigQuery is a cloud service, Google manages the patching process server-side, and no customer intervention is necessary.
Potential Impact
The vulnerability could lead to the disclosure of sensitive information through error messages generated during the materialized view refresh process in BigQuery. This exposure is limited to authenticated users who can create crafted materialized views. There are no known exploits in the wild. The impact is rated high based on the CVSS 4.0 score of 7.1.
Mitigation Recommendations
Google has patched this vulnerability as of January 29, 2026. Since BigQuery is a cloud-hosted service, Google manages the remediation and patch deployment. Customers do not need to take any action.
CVE-2026-3259: CWE-209 Generation of error message containing sensitive information in Google Cloud BigQuery
Description
A Generation of Error Message Containing Sensitive Information vulnerability in the Materialized View Refresh mechanism in Google BigQuery on Google Cloud Platform allows an authenticated user to potentially disclose sensitive data using a crafted materialized view that triggers a runtime error during the refresh process. This vulnerability was patched on 29 January 2026, and no customer action is needed.
CVSS v4.0
Score 7.1high
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This vulnerability (CVE-2026-3259) in Google Cloud BigQuery arises from the Materialized View Refresh mechanism generating error messages that include sensitive information. An authenticated user can exploit this by creating a crafted materialized view that triggers a runtime error during refresh, potentially exposing sensitive data. The vulnerability has been patched by Google as of January 29, 2026. Since BigQuery is a cloud service, Google manages the patching process server-side, and no customer intervention is necessary.
Potential Impact
The vulnerability could lead to the disclosure of sensitive information through error messages generated during the materialized view refresh process in BigQuery. This exposure is limited to authenticated users who can create crafted materialized views. There are no known exploits in the wild. The impact is rated high based on the CVSS 4.0 score of 7.1.
Mitigation Recommendations
Google has patched this vulnerability as of January 29, 2026. Since BigQuery is a cloud-hosted service, Google manages the remediation and patch deployment. Customers do not need to take any action.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GoogleCloud
- Date Reserved
- 2026-02-26T14:21:42.934Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
- Is Cloud Service
- true
Threat ID: 69e9eb8887115cfb68f9fc43
Added to database: 4/23/2026, 9:51:04 AM
Last enriched: 5/1/2026, 1:58:24 AM
Last updated: 6/7/2026, 8:42:36 AM
Views: 48
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