CVE-2025-25389
Published: 13 February 2025
Summary
CVE-2025-25389 is a critical-severity SQL Injection (CWE-89) vulnerability in Phpgurukul Land Record System. Its CVSS base score is 9.8 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 15.4% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
The strongest mitigations our analysis identified are NIST 800-53 SI-10 (Information Input Validation) and SI-2 (Flaw Remediation).
Deeper analysis
A SQL injection vulnerability exists in the /admin/forgot-password.php endpoint of Phpgurukul Land Record System version 1.0. The flaw, tracked as CVE-2025-25389 and assigned CWE-89, is triggered through the contactno POST parameter and carries a CVSS 3.1 base score of 9.8.
Unauthenticated remote attackers can supply crafted input over the network to execute arbitrary SQL commands, resulting in full compromise of confidentiality, integrity, and availability of the affected application and its underlying database.
The single available reference is a technical write-up containing proof-of-concept details; no vendor advisory or patch information is provided in the supplied sources. The associated EPSS score remains low, with a current value of 0.0215 and a peak of 0.0305.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-4119
Vulnerability details
A SQL Injection vulnerability was found in /admin/forgot-password.php in Phpgurukul Land Record System v1.0, which allows remote attackers to execute arbitrary code via the contactno POST request parameter.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
SQL injection in public-facing web app (/admin/forgot-password.php) enables remote exploitation for initial access (T1190) and facilitates arbitrary database queries for data collection (T1213.006).
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Directly prevents SQL injection by requiring validation of untrusted inputs like the contactno POST parameter before incorporation into SQL queries.
Requires timely remediation of identified flaws such as this SQL injection vulnerability through testing and patching.
Facilitates detection of SQL injection vulnerabilities like CVE-2025-25389 through regular vulnerability scanning.