CVE-2025-34059
Published: 01 July 2025
Summary
CVE-2025-34059 is a high-severity SQL Injection (CWE-89) vulnerability in Pentest Tools (inferred from references). Its CVSS base score is 8.7 (High).
Operationally, ranked in the top 28.5% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-19638
Vulnerability details
An SQL injection vulnerability exists in the Dahua Smart Cloud Gateway Registration Management Platform via the username parameter in the /index.php/User/doLogin endpoint. The application fails to properly sanitize user input, allowing unauthenticated attackers to inject arbitrary SQL statements and potentially…
more
disclose sensitive information. Exploitation evidence was observed by the Shadowserver Foundation on 2025-02-05 UTC.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Penetration testing uses SQL injection payloads against database interfaces, identifying and supporting fixes for SQL injection weaknesses.
Automated marking applies security attributes to system outputs, making it harder for attackers to exploit unmarked sensitive information leading to unauthorized exposure.
Proper attribute retention and permitted-value enforcement limits unauthorized actors from accessing sensitive information lacking correct labels.
Prevents unauthorized exposure of sensitive information by prohibiting untrusted external systems from processing or storing it.
By enforcing authorization matching prior to sharing, the control reduces the risk of exposing sensitive information to unauthorized actors.
Review and removal of nonpublic information from publicly accessible systems directly prevents exposure of sensitive data to unauthorized actors.
Data mining protection mechanisms detect and block unauthorized bulk extraction of sensitive data, directly mitigating exposure to unauthorized actors.
Literacy training teaches users to recognize and avoid actions that result in unauthorized exposure of sensitive information.