Cyber Resilience

CVE-2025-2649

MediumPublic PoC

Published: 23 March 2025

Published
23 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 0.0005 16.8th percentile
Risk Priority 14 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2025-2649 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 16.8th 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 SI-10 (Information Input Validation) and SI-2 (Flaw Remediation).

Deeper analysis

A critical SQL injection vulnerability, designated CVE-2025-2649, affects the PHPGurukul Doctor Appointment Management System version 1.0. The flaw resides in unknown code within the /check-appointment.php file, where the 'searchdata' argument can be manipulated to trigger the injection. Classified under CWE-74 and CWE-89, 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 was published on 2025-03-23.

Remote attackers require no privileges or user interaction to exploit this vulnerability over the network with low complexity. Successful exploitation via the 'searchdata' parameter enables SQL injection, potentially allowing limited impacts on confidentiality, integrity, and availability, such as unauthorized data access, modification, or disruption depending on the database configuration.

Advisories and references, including those from VulDB (ctiid.300664, id.300664, submit.519780) and a GitHub issue at liuhao2638/cve/issues/12, document the issue, while the vendor site phpgurukul.com provides context on the affected software. No specific patches or mitigations are detailed in the available information.

The exploit has been publicly disclosed, increasing the risk of widespread use against unpatched instances of this system.

EU & UK References

Vulnerability details

A vulnerability classified as critical was found in PHPGurukul Doctor Appointment Management System 1.0. This vulnerability affects unknown code of the file /check-appointment.php. The manipulation of the argument searchdata leads to sql injection. The attack can be initiated remotely. The…

more

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?

SQL injection in public-facing web application (/check-appointment.php) enables exploitation of public-facing application (T1190) and unauthorized database access, modification, or deletion (T1213.006).

CVEs Like This One

CVE-2025-2383Same 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

Directly prevents SQL injection by validating and sanitizing the 'searchdata' input parameter in /check-appointment.php before database queries.

prevent

Remediates the specific SQL injection flaw through timely patching or code correction in the affected PHPGurukul system.

detect

Identifies the SQL injection vulnerability via regular scanning, enabling proactive remediation before exploitation.

References