CVE-2025-47907 in Google
Summary
by MITRE • 08/07/2025
Cancelling a query (e.g. by cancelling the context passed to one of the query methods) during a call to the Scan method of the returned Rows can result in unexpected results if other queries are being made in parallel. This can result in a race condition that may overwrite the expected results with those of another query, causing the call to Scan to return either unexpected results from the other query or an error.
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Analysis
by VulDB Data Team • 03/26/2026
This vulnerability exists in database query execution systems where concurrent operations are not properly synchronized. The issue manifests when a query cancellation occurs during a Scan operation on Rows returned from a database query method. The root cause lies in the lack of proper thread synchronization mechanisms between the cancellation handler and the active scanning process, creating a race condition scenario. When a context cancellation is initiated while Scan is executing, the system fails to properly manage the shared state between concurrent query operations, leading to potential data corruption or incorrect result sets being returned to the calling application.
The technical flaw stems from improper handling of concurrent database operations where the cancellation signal does not adequately protect the underlying data structures used by the Scan method. This vulnerability directly relates to CWE-362, which describes race conditions in concurrent programming where multiple threads or processes access shared resources without proper synchronization. The issue occurs at the intersection of database transaction management and concurrent execution control, where the cancellation mechanism fails to provide atomicity when dealing with active result set scanning operations. When multiple queries are executed in parallel, the system does not properly isolate the state changes associated with cancellation from the active scanning process, allowing interference between concurrent operations.
The operational impact of this vulnerability can be severe in multi-threaded database applications where query cancellation is a common operation. Applications may receive incorrect data from database queries, potentially leading to business logic errors, data integrity issues, or even security implications if the incorrect data affects authorization decisions. The race condition can cause Scan operations to return results from different queries, making it extremely difficult to debug and trace the source of incorrect data. This vulnerability is particularly dangerous in high-concurrency environments where the likelihood of simultaneous cancellations and scanning operations increases significantly, potentially causing cascading failures in database-dependent applications.
Mitigation strategies should focus on implementing proper synchronization mechanisms around database query operations, particularly when cancellation is involved. Applications should utilize connection pooling with proper isolation mechanisms and implement retry logic for Scan operations that may be affected by concurrent cancellations. The system should enforce atomic operations when handling context cancellation, ensuring that cancellation signals are processed before or after scanning operations complete entirely. Implementing proper locking mechanisms or using thread-safe data structures for managing query results can prevent the race condition. Additionally, developers should consider using database-specific transaction isolation levels and implementing proper error handling that can detect and recover from incorrect result scenarios. The ATT&CK framework categorizes this issue under privilege escalation and data manipulation techniques, as incorrect query results can be leveraged to bypass security controls or manipulate application behavior. Organizations should also implement comprehensive monitoring and alerting for concurrent database operations to detect potential race conditions before they cause significant impact.