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CVE Vulnerability Database
Vulnerability Database/CVE-2026-4572

CVE-2026-4572: Sales and Inventory System SQLi Flaw

CVE-2026-4572 is a SQL injection vulnerability in SourceCodester Sales and Inventory System 1.0 affecting the /view_product.php file. Attackers can exploit the searchtxt parameter remotely to compromise databases.

Published: March 27, 2026

CVE-2026-4572 Overview

A SQL injection vulnerability has been identified in SourceCodester Sales and Inventory System 1.0. This issue affects the /view_product.php file within the HTTP POST Request Handler component. By manipulating the searchtxt parameter, remote attackers can inject malicious SQL queries into the application's database backend. The exploit has been made publicly available, increasing the risk of exploitation in the wild.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to extract sensitive data, modify database contents, or potentially gain unauthorized access to the underlying system through the vulnerable searchtxt parameter.

Affected Products

  • SourceCodester Sales and Inventory System 1.0
  • /view_product.php HTTP POST Request Handler component

Discovery Timeline

  • 2026-03-23 - CVE-2026-4572 published to NVD
  • 2026-03-23 - Last updated in NVD database

Technical Details for CVE-2026-4572

Vulnerability Analysis

This vulnerability falls under CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component), commonly referred to as injection vulnerabilities. The flaw exists in the product search functionality where user-supplied input via the searchtxt parameter is not properly sanitized before being incorporated into SQL queries.

The application fails to implement adequate input validation or parameterized queries when processing search requests. When a user submits a search term through the POST request to /view_product.php, the application directly concatenates the input into the SQL query string, allowing attackers to break out of the intended query context and execute arbitrary SQL commands.

This network-accessible vulnerability requires low privileges to exploit and no user interaction, making it relatively straightforward for authenticated attackers to leverage.

Root Cause

The root cause of this vulnerability is improper input validation and the use of unsanitized user input in SQL query construction. The application directly incorporates the searchtxt POST parameter into database queries without proper escaping, parameterization, or validation, allowing SQL syntax to be injected by malicious actors.

Attack Vector

The attack is performed remotely over the network by sending crafted HTTP POST requests to the /view_product.php endpoint. An attacker with low-level privileges can manipulate the searchtxt parameter to inject SQL commands that will be executed by the database server.

A typical exploitation scenario involves:

  1. An attacker authenticates to the Sales and Inventory System with minimal privileges
  2. The attacker navigates to the product search functionality
  3. A malicious payload is crafted within the searchtxt parameter containing SQL injection syntax
  4. The application processes the request and executes the injected SQL against the backend database
  5. The attacker can then extract data, modify records, or escalate access depending on database permissions

For detailed technical information and proof-of-concept examples, refer to the GitHub SQLi PoC documentation.

Detection Methods for CVE-2026-4572

Indicators of Compromise

  • Unusual or malformed HTTP POST requests to /view_product.php containing SQL syntax characters (single quotes, double dashes, UNION, SELECT, etc.)
  • Database error messages appearing in application logs or responses
  • Unexpected database query patterns or execution times
  • Evidence of data exfiltration or unauthorized database modifications

Detection Strategies

  • Implement Web Application Firewall (WAF) rules to detect SQL injection patterns in POST parameters
  • Monitor application logs for requests containing common SQL injection keywords targeting the searchtxt parameter
  • Deploy database activity monitoring to detect unusual query patterns or privilege escalation attempts
  • Configure intrusion detection systems (IDS) to alert on SQL injection signature matches

Monitoring Recommendations

  • Enable detailed logging for all requests to /view_product.php and review for suspicious patterns
  • Set up alerts for database errors that may indicate failed SQL injection attempts
  • Monitor for bulk data access patterns that could indicate successful data extraction
  • Track authenticated user sessions for anomalous search behavior

How to Mitigate CVE-2026-4572

Immediate Actions Required

  • Restrict network access to the affected Sales and Inventory System application where possible
  • Implement Web Application Firewall rules to filter SQL injection patterns in the searchtxt parameter
  • Review database permissions to ensure the application uses least-privilege access
  • Consider temporarily disabling the product search functionality until a proper fix is implemented

Patch Information

No official vendor patch information is currently available. Organizations using SourceCodester Sales and Inventory System 1.0 should monitor the SourceCodester website for security updates. Additional vulnerability details are available through VulDB #352409.

Workarounds

  • Implement input validation to sanitize the searchtxt parameter before database queries
  • Modify the application code to use prepared statements or parameterized queries instead of string concatenation
  • Deploy a WAF configured to block SQL injection attack patterns targeting this endpoint
  • Restrict access to the application through network segmentation or IP allowlisting
bash
# Example Apache ModSecurity rule to block SQL injection attempts
SecRule ARGS:searchtxt "@detectSQLi" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    log,\
    msg:'SQL Injection attempt detected in searchtxt parameter'"

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

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechSourcecodester Sales And Inventory System

  • SeverityMEDIUM

  • CVSS Score5.3

  • EPSS Probability0.03%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:L/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 SQLi PoC

  • VulDB CTI #352409

  • VulDB #352409

  • VulDB Submission #775168

  • SourceCodester Resources
  • Related CVEs
  • CVE-2026-4826: Sales & Inventory System SQLi Vulnerability

  • CVE-2026-4825: Sales and Inventory System SQLi Flaw

  • CVE-2026-4781: SourceCodester Sales System SQLi Flaw

  • CVE-2026-4777: Sales Inventory System SQLi Vulnerability
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