CVE-2025-15184
Unknown Unknown - Not Provided

SQL Injection in Refugee Food Management System Remote File

Vulnerability report for CVE-2025-15184, 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 detected in code-projects Refugee Food Management System 1.0. Affected is an unknown function of the file /home/refugeesreport2.php. The manipulation of the argument a results in sql injection. The attack may be performed from remote. The exploit is now public and may be used.

CVSS Scores

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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
code-projects refugee_food_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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Compliance Impact

The vulnerability allows unauthorized remote attackers to perform SQL injection, potentially leading to unauthorized access, data leakage, and data tampering. Such compromises of confidentiality, integrity, and availability of sensitive data can negatively impact compliance with common standards and regulations like GDPR and HIPAA, which require protection of personal and sensitive information. Immediate remediation is necessary to maintain data integrity and system security, which are critical for regulatory compliance. [1, 3]

Detection Guidance

This vulnerability can be detected by scanning for the presence of the vulnerable file refugeesreport2.php and testing the parameter 'a' for SQL injection. One method is to use sqlmap, an automated SQL injection tool, to test the endpoint. For example, you can run: sqlmap -u "http://target/refugeesreport2.php" --data="a=1" --batch to check for SQL injection vulnerabilities. Additionally, Google dorking with the query inurl:home/refugeesreport2.php can help identify vulnerable targets. Monitoring network traffic for suspicious POST requests to refugeesreport2.php with unusual parameter values may also help detect exploitation attempts. [1, 3]

Mitigation Strategies

Immediate mitigation steps include implementing prepared statements with parameter binding to prevent SQL injection, performing rigorous input validation and filtering on the parameter 'a' to ensure it conforms to expected formats, and restricting database user permissions to the minimum necessary to limit potential damage. Since no known mitigations or countermeasures are documented, replacing the affected component with an alternative product is suggested. Prompt corrective action is critical to maintain system security and data integrity. [1, 3]

Executive Summary

This vulnerability is a SQL injection in the Refugee Food Management System 1.0, specifically in an unknown function within the file /home/refugeesreport2.php. It occurs due to manipulation of the argument 'a', allowing an attacker to inject malicious SQL code remotely.

Impact Analysis

The vulnerability can allow remote attackers to execute arbitrary SQL commands on the database, potentially leading to unauthorized data access, data modification, or data deletion, which can compromise the integrity, confidentiality, and availability of the system's data.

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