Cyber Resilience

CVE-2025-2383

MediumPublic PoC

Published: 17 March 2025

Published
17 March 2025
Modified
27 March 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 0.0018 39.7th percentile
Risk Priority 14 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2025-2383 is a medium-severity Injection (CWE-74) vulnerability in Phpgurukul Doctor Appointment Management System. Its CVSS base score is 6.9 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 39.7th percentile by exploit likelihood (below the median); 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 RA-5 (Vulnerability Monitoring and Scanning) and SI-10 (Information Input Validation).

Deeper analysis

CVE-2025-2383 is a critical SQL injection vulnerability in PHPGurukul Doctor Appointment Management System 1.0. The issue resides in an unknown functionality of the file /doctor/search.php, where manipulation of the searchdata argument triggers the injection. Published on 2025-03-17T16:15:27.600, it carries a CVSS v3.1 base score of 7.3 (AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L) and maps to CWEs-74 and CWE-89.

Remote attackers require only network access and no authentication or user interaction to exploit this vulnerability with low attack complexity. Successful exploitation enables limited impacts on confidentiality, integrity, and availability, such as partial data exposure, modification, or disruption via injected SQL payloads.

Advisories and additional details are documented in references including https://github.com/aionman/cve/issues/6, https://phpgurukul.com/, https://vuldb.com/?ctiid.299882, https://vuldb.com/?id.299882, and https://vuldb.com/?submit.515913. The exploit has been publicly disclosed and may be used by attackers.

EU & UK References

Vulnerability details

A vulnerability, which was classified as critical, has been found in PHPGurukul Doctor Appointment Management System 1.0. Affected by this issue is some unknown functionality of the file /doctor/search.php. The manipulation of the argument searchdata leads to sql injection. The…

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

CWE(s)

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
T1213.006 Databases Collection
Adversaries may leverage databases to mine valuable information.
Why these techniques?

The unauthenticated SQL injection vulnerability in a public-facing web application (/doctor/search.php) enables initial access via exploitation of public-facing applications (T1190) and facilitates collection of data from databases (T1213.006) through arbitrary SQL query manipulation, data leakage, and tampering.

CVEs Like This One

CVE-2025-2649Same product: Phpgurukul Doctor Appointment Management System
CVE-2025-2640Same product: Phpgurukul Doctor Appointment Management System
CVE-2025-3006Same vendor: Phpgurukul
CVE-2025-2656Same vendor: Phpgurukul
CVE-2025-2627Same vendor: Phpgurukul
CVE-2025-1857Same vendor: Phpgurukul
CVE-2025-2681Same vendor: Phpgurukul
CVE-2026-2179Same vendor: Phpgurukul
CVE-2025-2658Same vendor: Phpgurukul
CVE-2025-1582Same vendor: Phpgurukul

Affected Assets

phpgurukul
doctor appointment management system
1.0.0

Mitigating Controls

Mitigating Controls (NIST 800-53 r5) AI

prevent

SI-10 mandates validation of information inputs like the searchdata parameter to block SQL injection payloads before they reach the database.

prevent

SI-2 requires identification, prioritization, and remediation of flaws such as the SQL injection in /doctor/search.php to eliminate the vulnerability.

detect

RA-5 employs vulnerability scanning to identify SQL injection issues like CVE-2025-2383 in the Doctor Appointment Management System.

References