Cyber Resilience

CVE-2025-4031

MediumPublic PoC

Published: 28 April 2025

Published
28 April 2025
Modified
10 May 2025
KEV Added
Patch
CVSS Score v4 6.9 CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
EPSS Score 0.0010 27.4th percentile
Risk Priority 14 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2025-4031 is a medium-severity Injection (CWE-74) vulnerability in Phpgurukul Pre-School Enrollment System. Its CVSS base score is 6.9 (Medium).

Operationally, ranked at the 27.4th 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

Vulnerability details

A vulnerability was found in PHPGurukul Pre-School Enrollment System 1.0. It has been declared as critical. This vulnerability affects unknown code of the file /admin/aboutus.php. The manipulation of the argument pagetitle leads to sql injection. The attack can be initiated…

more

remotely. The exploit has been disclosed to the public and may be used.

CWE(s)

Related Threats

No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.

Affected Assets

phpgurukul
pre-school enrollment system
1.0

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.

addresses: CWE-89

Penetration testing uses SQL injection payloads against database interfaces, identifying and supporting fixes for SQL injection weaknesses.

addresses: CWE-74

Developer assessments and testing (including injection-focused techniques) identify improper neutralization of special elements, and the verifiable flaw remediation corrects them pre-deployment.

addresses: CWE-89

Validates query inputs to prevent SQL syntax or command manipulation.

addresses: CWE-74

Identifies indicators of injection attacks (command, SQL, LDAP, etc.) via anomaly and attack monitoring.

References