CVE-2025-7534
Published: 13 July 2025
Summary
CVE-2025-7534 is a medium-severity Injection (CWE-74) vulnerability in Phpgurukul Student Result 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 in the top 48.6% 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-2025-21261
Vulnerability details
A vulnerability was found in PHPGurukul Student Result Management System 2.0. It has been classified as critical. Affected is an unknown function of the file /notice-details.php of the component GET Parameter Handler. The manipulation of the argument nid leads to…
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sql injection. It is possible to launch the attack 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?
Unauthenticated remote SQL injection in public-facing web application (/notice-details.php GET parameter 'nid') enables exploitation of public-facing application (T1190), data collection from backend databases via arbitrary SQL queries including UNION and time-based techniques (T1213.006), and abuse of server software component as assigned by VulDB/MITRE ATT&CK (T1505).
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.