Cyber Resilience

CVE-2025-7191

MediumPublic PoC

Published: 08 July 2025

Published
08 July 2025
Modified
29 April 2026
KEV Added
Patch
CVSS Score v4 5.5 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:P/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 0.0020 42.5th percentile
Risk Priority 11 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2025-7191 is a medium-severity Injection (CWE-74) vulnerability in Code-Projects Student Enrollment. Its CVSS base score is 5.5 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 42.5th 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 AC-3 (Access Enforcement).

Deeper analysis

CVE-2025-7191 is a critical SQL injection vulnerability in code-projects Student Enrollment System 1.0, affecting unknown code within the /login.php file. The issue arises from manipulation of the Username argument, classified under CWE-74 and CWE-89. It was published on 2025-07-08T19:15:44.300 with 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).

Remote attackers require no privileges or user interaction to exploit this vulnerability over the network with low attack complexity. Successful exploitation enables limited impacts on confidentiality, integrity, and availability, such as unauthorized data access, modification, or disruption via injected SQL payloads in the login process.

Advisories provide further details at references including https://vuldb.com/?ctiid.315130, https://vuldb.com/?id.315130, https://github.com/yihaofuweng/cve/issues/11, https://vuldb.com/?submit.607216, and https://code-projects.org/. No specific patches or mitigations are detailed in the available information.

The exploit has been publicly disclosed and may be used in attacks.

EU & UK References

Vulnerability details

A vulnerability has been found in code-projects Student Enrollment System 1.0 and classified as critical. This vulnerability affects unknown code of the file /login.php. The manipulation of the argument Username leads to sql injection. The attack can be initiated remotely.…

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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.
T1505 Server Software Component Persistence
Adversaries may abuse legitimate extensible development features of servers to establish persistent access to systems.
T1213.006 Databases Collection
Adversaries may leverage databases to mine valuable information.
Why these techniques?

SQL injection in public-facing /login.php enables exploitation of public-facing application (T1190), abuse of server software component (T1505 as noted in advisory), and data collection from databases via unauthorized SQL queries (T1213.006).

CVEs Like This One

CVE-2025-2039Same vendor: Code-Projects
CVE-2025-2033Same vendor: Code-Projects
CVE-2025-7185Same vendor: Code-Projects
CVE-2025-0203Same vendor: Code-Projects
CVE-2025-0207Same vendor: Code-Projects
CVE-2025-0205Same vendor: Code-Projects
CVE-2025-1379Same vendor: Code-Projects
CVE-2025-2044Same vendor: Code-Projects
CVE-2025-0176Same vendor: Code-Projects
CVE-2025-0171Same vendor: Code-Projects

Affected Assets

code-projects
student enrollment
1.0

Mitigating Controls

Mitigating Controls (NIST 800-53 r5) AI

prevent

Directly requires validation and sanitization of the Username input in login.php to block malicious SQL payloads before they reach the database.

prevent

Enforces that only properly authenticated subjects may access protected functions, blocking the login bypass that results from successful SQL injection.

detect

Enables monitoring of login requests and database query patterns to identify anomalous SQL syntax indicative of injection attempts.

References