CVE-2025-6863
Published: 29 June 2025
Summary
CVE-2025-6863 is a medium-severity Injection (CWE-74) vulnerability in Phpgurukul Local Services Search Engine Management System. Its CVSS base score is 5.5 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 42.5th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-19486
Vulnerability details
A vulnerability classified as critical was found in PHPGurukul Local Services Search Engine Management System 2.1. Affected by this vulnerability is an unknown functionality of the file /admin/edit-category-detail.php. The manipulation of the argument editid leads to sql injection. The attack…
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can be launched remotely. The exploit has been disclosed to the public and may be used.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The unauthenticated SQL injection vulnerability in the public-facing web application's admin endpoint (edit-category-detail.php) enables initial access via exploitation of a public-facing application (T1190) and collection of data from databases (T1213.006) through unauthorized SQL queries, including blind time-based techniques for data exfiltration.
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.
Developer assessments and testing (including injection-focused techniques) identify improper neutralization of special elements, and the verifiable flaw remediation corrects them pre-deployment.
Validates query inputs to prevent SQL syntax or command manipulation.
Identifies indicators of injection attacks (command, SQL, LDAP, etc.) via anomaly and attack monitoring.