Staged data read/write via predictable bucket names
Published Aug 26, 2026 · Updated Aug 26, 2026
Predictable resource naming in Google AI Commerce Search before 2026-04-27 allows remote authenticated users to read or write staged data. BigQuery Import Staging derives bucket names predictably from the victim's project number, allowing attackers to pre-create the expected bucket and receive staged data and error logs. Exploitation requires a Google Cloud identity and the victim's project number; successful bucket squatting compromises staged-data confidentiality and integrity without interrupting the service.
Summary
What happened
Predictable resource naming in Google AI Commerce Search before 2026-04-27 allows remote authenticated users to read or write staged data. BigQuery Import Staging derives bucket names predictably from the victim's project number, allowing attackers to pre-create the expected bucket and receive staged data and error logs. Exploitation requires a Google Cloud identity and the victim's project number; successful bucket squatting compromises staged-data confidentiality and integrity without interrupting the service.
The record
- CVE
- CVE-2026-19485
- Published
- Aug 26, 2026
- Updated
- Aug 26, 2026
- Vendor
- Google Cloud
- Product
- AI Commerce Search
- Classifications
- CWE-330, CAPEC-616, T1583.006
- Attack vector
- network
- Privileges
- authenticated
Timeline
How it unfolded
- Aug 26, 2026CVE publishedPublication date reported by the CVE source.
- Aug 26, 2026Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
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- Affected versionversion=0 <2026-04-27
What conditions does exploitation require?
What is affected?
Published CVSS scores
CVSS describes severity. EPSS estimates exploitation probability.
Attacks
What attackers are doing with it
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Weakness, pattern, technique
Public exploit references
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Technologies
Your stack
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Your stack
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