CVE-2025-47907 is a concurrency-related vulnerability classified under CWE-362 (Race Condition) found in the Go standard library's database/sql package, specifically affecting versions up to 1.24.0. The issue arises when a query is cancelled—typically by cancelling the context passed to query methods—while the Scan method is processing the returned Rows. In concurrent environments where multiple queries execute in parallel, this cancellation can cause improper synchronization of shared resources. The race condition may lead to the Scan method returning data from a different query or an error, effectively mixing query results. This undermines the integrity and confidentiality of the data being processed, as results can be overwritten or corrupted. The vulnerability is remotely exploitable without requiring authentication or user interaction, but the attack complexity is high due to the need to precisely time query cancellations during Scan operations. The CVSS 3.1 score is 7.0, reflecting high severity with a vector indicating network attack vector, high attack complexity, no privileges required, no user interaction, unchanged scope, high confidentiality impact, low integrity impact, and low availability impact. No public exploits have been reported yet, and no patches are linked at the time of publication, indicating organizations must monitor for updates. This vulnerability is particularly relevant for applications written in Go that perform concurrent database queries, such as web services, microservices, and cloud-native applications, where data consistency and confidentiality are critical.

For European organizations, this vulnerability poses a significant risk to data confidentiality and integrity in applications relying on Go's database/sql package for concurrent database operations. The race condition can cause leakage or corruption of sensitive data by mixing query results, which could lead to incorrect business decisions, data breaches, or compliance violations under regulations like GDPR. Sectors such as finance, healthcare, telecommunications, and government services, which often use Go for backend services, are especially vulnerable. The high attack complexity reduces the likelihood of widespread exploitation but does not eliminate targeted attacks by skilled adversaries. The vulnerability could also undermine trust in software systems and cause operational disruptions if data integrity issues propagate through dependent systems. Since no known exploits exist yet, proactive mitigation is critical to prevent future exploitation. The impact on availability is low, but the confidentiality impact is high, which is a serious concern for organizations handling personal or sensitive data.

1. Monitor official Go project channels for patches addressing CVE-2025-47907 and apply updates promptly once available. 2. Until patches are released, implement strict concurrency controls in application code to avoid cancelling queries during Scan operations or serialize query execution to prevent parallel query interference. 3. Review and refactor database access patterns to minimize context cancellations during active Scans. 4. Employ additional application-level validation to detect and handle unexpected query results or errors gracefully. 5. Use runtime monitoring and logging to detect anomalies in query results that may indicate exploitation attempts. 6. Conduct code audits focusing on concurrent database operations and context cancellation usage. 7. Educate developers on safe use of context cancellation and concurrency in Go database interactions. 8. Consider isolating critical database queries in separate processes or services to reduce shared resource contention. 9. Engage in threat hunting to identify any early exploitation signs within the network. 10. Maintain strong access controls and network segmentation to limit exposure of vulnerable services.