CVE-2026-3791: Sales And Inventory System SQLi Flaw

CVE-2026-3791 Overview

A SQL injection vulnerability has been identified in SourceCodester Sales and Inventory System 1.0. The vulnerability exists within the dashboard.php file of the Search component, where improper handling of the searchtxt parameter allows attackers to inject malicious SQL queries. This flaw enables remote attackers with low privileges to manipulate database queries, potentially leading to unauthorized data access, modification, or deletion.

Critical Impact

Authenticated attackers can exploit this SQL injection vulnerability remotely to extract sensitive business data, manipulate inventory records, or compromise the underlying database server.

Affected Products

• SourceCodester Sales and Inventory System 1.0
• Ahsanriaz26gmailcom Sales And Inventory System

Discovery Timeline

• 2026-03-09 - CVE-2026-3791 published to NVD
• 2026-03-09 - Last updated in NVD database

Technical Details for CVE-2026-3791

Vulnerability Analysis

This SQL injection vulnerability (CWE-89) stems from insufficient input validation in the search functionality of the Sales and Inventory System. The dashboard.php file accepts user-supplied input through the searchtxt parameter without proper sanitization or parameterized query implementation. When a user performs a search operation, the input is directly concatenated into SQL queries, creating an injection point that attackers can exploit.

The vulnerability is classified under CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component) and CWE-89 (Improper Neutralization of Special Elements used in an SQL Command). This indicates a fundamental failure in input handling where special characters and SQL syntax are not properly escaped or filtered before being processed by the database engine.

Root Cause

The root cause of this vulnerability is the direct inclusion of user-controlled input into SQL queries without implementing proper input sanitization, parameterized queries, or prepared statements. The searchtxt parameter in dashboard.php is processed without validation, allowing SQL metacharacters to be interpreted as part of the query structure rather than as literal data values.

Attack Vector

The attack can be carried out remotely over the network by an authenticated user with low privileges. The attacker manipulates the searchtxt parameter in HTTP requests to the dashboard.php endpoint, injecting SQL commands that are executed by the database. This can result in unauthorized access to confidential business data including sales records, inventory information, customer details, and potentially system credentials.

The vulnerability requires network access and low-level authentication, meaning an attacker must have valid credentials to access the search functionality. However, once authenticated, no additional user interaction is required to exploit the flaw. A proof-of-concept demonstrating the exploitation technique has been publicly disclosed, as documented in the GitHub SQL Injection PoC.

Detection Methods for CVE-2026-3791

Indicators of Compromise

• Unusual database queries originating from the dashboard.php endpoint containing SQL syntax in search parameters
• Error messages in application logs revealing database structure or SQL syntax errors
• Abnormal database access patterns such as bulk data extraction or unauthorized table queries
• HTTP request logs showing special characters (', ", --, ;, UNION, SELECT) in the searchtxt parameter

Detection Strategies

• Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns in HTTP requests
• Implement database activity monitoring to identify anomalous query patterns or unauthorized data access
• Configure application logging to capture all search requests with detailed parameter values for forensic analysis
• Use intrusion detection systems (IDS) with signatures for common SQL injection attack patterns

Monitoring Recommendations

• Monitor web server access logs for requests to dashboard.php containing suspicious characters or SQL keywords
• Set up alerts for database errors that indicate SQL injection attempts such as syntax errors or unexpected query results
• Track failed and successful authentication attempts to identify potential attacker reconnaissance activity
• Review database audit logs for queries accessing sensitive tables or extracting large volumes of data

How to Mitigate CVE-2026-3791

Immediate Actions Required

• Restrict access to the Sales and Inventory System to trusted networks only using firewall rules or network segmentation
• Implement additional authentication controls or disable the search functionality until a patch is available
• Deploy WAF rules specifically targeting SQL injection patterns in the searchtxt parameter
• Audit database access logs for evidence of prior exploitation

Patch Information

No official vendor patch has been released at the time of publication. Organizations using SourceCodester Sales and Inventory System 1.0 should monitor the SourceCodester website for security updates. Additional vulnerability details are available through VulDB #349758.

Workarounds

• Implement input validation on the searchtxt parameter to reject special characters and SQL keywords
• Modify the application code to use parameterized queries or prepared statements instead of string concatenation
• Apply least privilege principles to the database user account used by the application
• Consider deploying the application behind a reverse proxy with SQL injection filtering capabilities

# Example WAF rule to block SQL injection attempts (ModSecurity)
SecRule ARGS:searchtxt "@rx (?i)(union|select|insert|update|delete|drop|--|;|'|\"|%27|%22)" \
    "id:100001,phase:2,deny,status:403,msg:'SQL Injection attempt detected in searchtxt parameter'"