CVE-2025-15168
Unknown Unknown - Not Provided

SQL Injection in itsourcecode Student Management System /statistical.php

Vulnerability report for CVE-2025-15168, including description, CVSS score, EPSS score, affected products, exploitability, helpful resources, and attack-flow context.

Publication date: 2025-12-29

Last updated on: 2026-04-29

Assigner: VulDB

Description

A vulnerability was identified in itsourcecode Student Management System 1.0. Affected is an unknown function of the file /statistical.php. Such manipulation of the argument ID leads to sql injection. The attack can be executed remotely. The exploit is publicly available and might be used.

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Meta Information

Published
2025-12-29
Last Modified
2026-04-29
Generated
2026-07-06
AI Q&A
2025-12-29
EPSS Evaluated
2026-07-05
NVD
EUVD

Affected Vendors & Products

Showing 1 associated CPE
Vendor Product Version / Range
itsourcecode student_management_system 1.0

Helpful Resources

Exploitability

CWE
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KEV
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CWE ID Description
CWE-74 The product constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or interpreted when it is sent to a downstream component.
CWE-89 The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.

Attack-Flow Graph

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Executive Summary

This vulnerability is a SQL injection in the itsourcecode Student Management System 1.0, specifically in an unknown function within the /statistical.php file. By manipulating the argument ID, an attacker can inject malicious SQL code. The attack can be performed remotely, and an exploit is publicly available.

Impact Analysis

This vulnerability can allow an attacker to execute arbitrary SQL commands on the database, potentially leading to unauthorized data access, data modification, or data deletion. Since the attack can be executed remotely without authentication, it poses a significant risk to the confidentiality, integrity, and availability of the system's data.

Compliance Impact

The vulnerability allows unauthorized access to and manipulation of sensitive data through SQL injection, which can lead to data leakage and tampering. Such unauthorized data exposure and integrity violations can result in non-compliance with data protection regulations like GDPR and HIPAA, which mandate the protection of personal and sensitive information. Therefore, exploitation of this vulnerability could compromise compliance with these standards by exposing or altering protected data without authorization. [1, 3]

Detection Guidance

This vulnerability can be detected by testing the 'id' parameter in the /statistical.php file for SQL injection. One suggested command to confirm the vulnerability is using sqlmap: `python sqlmap.py --random-agent --batch -u "http://<target-ip>:<port>/statistical.php?id=1" --dbms=mysql --current-db`. Additionally, Google Dorking can be used to identify vulnerable targets with the query: `inurl:statistical.php`. [1, 3]

Mitigation Strategies

Immediate mitigation steps include: 1) Use prepared statements and parameter binding to separate SQL code from user input, preventing injection. 2) Implement strict input validation and filtering, such as numeric validation for the 'id' parameter. 3) Minimize database user permissions to avoid using high-privilege accounts for routine operations. 4) Conduct regular security audits to detect and fix vulnerabilities promptly. If possible, consider replacing the affected product with an alternative solution. [1, 3]

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