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CVE Vulnerability Database
Vulnerability Database/CVE-2025-15074

CVE-2025-15074: Online Frozen Foods Ordering System SQLi

CVE-2025-15074 is a SQL injection vulnerability in Itsourcecode Online Frozen Foods Ordering System 1.0 affecting customer_details.php. Attackers can exploit this remotely to manipulate databases. Learn the technical details.

Published: March 24, 2026

CVE-2025-15074 Overview

A SQL injection vulnerability has been identified in itsourcecode Online Frozen Foods Ordering System version 1.0. This vulnerability affects the /customer_details.php file, where improper input validation allows attackers to inject malicious SQL queries. The vulnerability can be exploited remotely without authentication, potentially allowing unauthorized access to sensitive customer data and database manipulation.

Critical Impact

This SQL injection vulnerability enables remote attackers to execute arbitrary SQL commands against the application database, potentially leading to unauthorized data access, data manipulation, or complete database compromise.

Affected Products

  • itsourcecode Online Frozen Foods Ordering System 1.0
  • Web applications using the vulnerable /customer_details.php component

Discovery Timeline

  • 2025-12-25 - CVE-2025-15074 published to NVD
  • 2025-12-30 - Last updated in NVD database

Technical Details for CVE-2025-15074

Vulnerability Analysis

This SQL injection vulnerability (CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component) exists in the /customer_details.php file of the Online Frozen Foods Ordering System. The application fails to properly sanitize user-supplied input before incorporating it into SQL queries, creating an injection point that attackers can exploit remotely.

The vulnerability allows unauthenticated attackers to manipulate database queries by injecting specially crafted SQL statements through user-controllable parameters. Successful exploitation could result in unauthorized read access to customer records, modification of order data, or extraction of sensitive information stored in the database.

Root Cause

The root cause stems from inadequate input validation and the lack of parameterized queries or prepared statements in the /customer_details.php file. User input is directly concatenated into SQL query strings without proper sanitization or escaping, allowing malicious SQL code to be executed by the database engine.

Attack Vector

The attack can be conducted remotely over the network without requiring authentication. An attacker can craft malicious HTTP requests containing SQL injection payloads targeting the vulnerable parameter in /customer_details.php. The exploit has been publicly disclosed, as referenced in the GitHub Issue Tracking CVE.

The vulnerability allows attackers to inject SQL commands through the customer details functionality. Without proper input sanitization, user-supplied data is directly incorporated into database queries, enabling attackers to extract sensitive information, modify database records, or potentially gain further access to the underlying system. Technical details and proof-of-concept information are available through the VulDB entry #338331.

Detection Methods for CVE-2025-15074

Indicators of Compromise

  • Unusual SQL error messages or database exceptions in web server logs related to /customer_details.php
  • HTTP requests to /customer_details.php containing SQL syntax characters such as single quotes ('), double dashes (--), or UNION statements
  • Unexpected database queries or access patterns in database audit logs
  • Anomalous data extraction or bulk data access attempts

Detection Strategies

  • Implement Web Application Firewall (WAF) rules to detect and block common SQL injection patterns targeting the application
  • Monitor HTTP access logs for requests containing SQL injection signatures such as UNION SELECT, OR 1=1, or encoded variants
  • Enable database query logging and alert on suspicious query patterns or syntax errors
  • Deploy endpoint detection solutions capable of identifying web application attacks

Monitoring Recommendations

  • Configure real-time alerting for SQL injection attack patterns in web server and application logs
  • Monitor database connection pools for unusual connection patterns or query volumes
  • Implement network traffic analysis to detect data exfiltration attempts following potential exploitation
  • Review application error logs for database-related exceptions that may indicate exploitation attempts

How to Mitigate CVE-2025-15074

Immediate Actions Required

  • Restrict access to /customer_details.php until a patch is applied or the vulnerability is remediated
  • Implement input validation and output encoding for all user-supplied data processed by the application
  • Deploy Web Application Firewall (WAF) rules to filter SQL injection attempts
  • Review application logs for evidence of prior exploitation attempts

Patch Information

As of the last update on 2025-12-30, no official vendor patch has been released. Organizations should monitor the ITSourceCode Resource Hub for security updates and patch releases. In the absence of an official fix, implementing the recommended workarounds is critical to reduce exposure.

Workarounds

  • Implement prepared statements and parameterized queries in the /customer_details.php file to prevent SQL injection
  • Apply strict input validation to reject special characters and SQL syntax in user input fields
  • Use a Web Application Firewall (WAF) with SQL injection detection rules as a compensating control
  • Consider taking the application offline or restricting access to trusted networks until proper remediation is implemented
  • Conduct a comprehensive code review to identify and remediate similar injection vulnerabilities throughout the application
bash
# Example WAF configuration to block SQL injection patterns
# ModSecurity rule example
SecRule ARGS "@detectSQLi" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    log,\
    msg:'SQL Injection Attempt Detected',\
    tag:'attack-sqli'"

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechItsourcecode Online Frozen Foods Ordering System

  • SeverityMEDIUM

  • CVSS Score6.9

  • EPSS Probability0.01%

  • Known ExploitedNo
  • CVSS Vector
  • 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
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityLow
  • CWE References
  • CWE-74
  • Technical References
  • GitHub Issue Tracking CVE

  • ITSourceCode Resource Hub

  • VulDB CTI ID #338331

  • VulDB #338331

  • VulDB Submission #721389
  • Related CVEs
  • CVE-2025-15073: Frozen Foods Ordering System SQLi Flaw
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