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College Notes Uploading System CVE-2025-15198

MEDIUM
Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection') (CWE-74)
2025-12-29 cna@vuldb.com
5.5
CVSS 4.0 · NVD
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Severity by source

NVD PRIMARY
5.5 MEDIUM
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
vuln.today AI
7.3 HIGH

Remote unauthenticated SQL injection with low-confidentiality, integrity, and availability impacts per original CVSS 4.0 mapping.

3.1 AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L
4.0 AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N

Primary rating from NVD.

CVSS VectorNVD

Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
X

Lifecycle Timeline

2
Analysis Generated
Jul 26, 2026 - 15:57 vuln.today
CVE Published
Dec 29, 2025 - 18:15 cve.org
MEDIUM 5.5

DescriptionCVE.org

A weakness has been identified in code-projects College Notes Uploading System 1.0. This issue affects some unknown processing of the file /login.php. Executing a manipulation of the argument User can lead to sql injection. The attack may be launched remotely. The exploit has been made available to the public and could be used for attacks.

AnalysisAI

SQL injection in code-projects College Notes Uploading System 1.0 allows remote attackers to manipulate the User parameter in /login.php, potentially bypassing authentication or accessing sensitive data. A publicly available exploit exists, but there is no evidence of active exploitation and the product has a small deployment footprint.

Technical ContextAI

The vulnerability resides in a PHP login script (/login.php) where user-supplied input via the 'User' parameter is not properly sanitized before being used in a SQL query, consistent with CWE-74 (Injection). The affected product is cpe:2.3:a:code-projects:college_notes_uploading_system:1.0:*:*:*:*:*:*:*, indicating a specific version of this academic project.

RemediationAI

No vendor-released patch has been identified for this vulnerability. As a compensating control, restrict network access to the application (e.g., firewalling or isolating the server) so that only trusted users can reach the login page. Alternatively, deploy a Web Application Firewall (WAF) with rules to detect and block SQL injection payloads in the User parameter. A long-term solution is to migrate to a supported, maintained application, as this project appears discontinued.

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CVE-2025-15198 vulnerability details – vuln.today

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