CVE-2026-4613: E-Commerce Site 1.0 SQL Injection Flaw

CVE-2026-4613 Overview

A SQL injection vulnerability has been identified in SourceCodester E-Commerce Site version 1.0. This vulnerability affects the /products.php file where the Search parameter is improperly handled, allowing attackers to inject malicious SQL commands. The vulnerability can be exploited remotely without authentication, potentially exposing sensitive database information, enabling unauthorized data manipulation, or facilitating further attacks against the underlying system.

Critical Impact

Remote attackers can exploit this SQL injection flaw to extract sensitive data from the database, modify or delete records, or potentially escalate access to the underlying server infrastructure through advanced SQL injection techniques.

Affected Products

• SourceCodester E-Commerce Site 1.0
• Web applications using the vulnerable /products.php file
• Systems with exposed search functionality lacking input sanitization

Discovery Timeline

• 2026-03-24 - CVE-2026-4613 published to NVD
• 2026-03-24 - Last updated in NVD database

Technical Details for CVE-2026-4613

Vulnerability Analysis

This SQL injection vulnerability (CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component) exists in the search functionality of the SourceCodester E-Commerce Site. The /products.php endpoint accepts user-supplied input through the Search parameter without proper sanitization or parameterized query implementation. When a user submits a search query, the application directly incorporates the input into SQL statements executed against the backend database.

The network-based attack vector allows remote exploitation without requiring any authentication or user interaction. An attacker can craft malicious search queries containing SQL metacharacters and commands that alter the intended query logic, potentially leading to unauthorized data access, modification, or deletion.

Root Cause

The root cause of this vulnerability is the improper handling of user input in the /products.php file. The application fails to sanitize or parameterize the Search parameter before incorporating it into database queries. This classic input validation failure allows SQL metacharacters to be interpreted as part of the SQL command structure rather than as literal data values.

The underlying issue stems from a lack of prepared statements or parameterized queries, which would separate SQL code from user-supplied data. Without these protections, the database engine cannot distinguish between legitimate query components and injected malicious commands.

Attack Vector

The attack vector is network-based, requiring no authentication or special privileges. An attacker can exploit this vulnerability by:

1. Accessing the vulnerable /products.php endpoint remotely
2. Submitting crafted input through the Search parameter containing SQL injection payloads
3. Leveraging boolean-based, time-based, or union-based injection techniques to extract data
4. Potentially escalating the attack to read/write files or execute system commands if database permissions allow

The vulnerability is straightforward to exploit given that the exploit methodology has been publicly disclosed. Attackers can utilize automated tools such as sqlmap to enumerate database contents, extract credentials, or pivot to more destructive attacks.

For technical details on the exploitation methodology, refer to the GitHub CVE Documentation and VulDB Entry #352477.

Detection Methods for CVE-2026-4613

Indicators of Compromise

• Unusual SQL syntax or error messages appearing in application logs from the /products.php endpoint
• Web server access logs showing suspicious patterns in the Search parameter (e.g., single quotes, UNION SELECT, OR 1=1, comment sequences)
• Database query logs indicating anomalous queries originating from the web application
• Unexpected database read operations or data exfiltration indicators

Detection Strategies

• Implement Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in HTTP requests
• Deploy database activity monitoring to identify suspicious query patterns or unauthorized data access
• Configure application-level logging to capture and alert on malformed search queries
• Use intrusion detection systems (IDS) with signatures for SQL injection attack patterns

Monitoring Recommendations

• Monitor web server access logs for requests to /products.php containing SQL metacharacters or injection keywords
• Set up alerts for database errors or exceptions that may indicate injection attempts
• Track failed and successful authentication attempts following suspicious search activity
• Review database audit logs for unexpected bulk data queries or schema enumeration activities

How to Mitigate CVE-2026-4613

Immediate Actions Required

• Remove or disable the vulnerable /products.php search functionality until a patch is available
• Implement input validation and sanitization for all user-supplied parameters
• Deploy a Web Application Firewall with SQL injection protection rules
• Review database user permissions and apply least-privilege principles to limit potential damage

Patch Information

At the time of publication, no official vendor patch is available from SourceCodester. Organizations using this software should implement the workarounds described below and monitor the SourceCodester website for security updates. Consider replacing the vulnerable code with properly parameterized queries or migrate to a more secure e-commerce platform with active security maintenance.

Workarounds

• Implement prepared statements with parameterized queries to separate SQL logic from user input
• Add server-side input validation to reject search queries containing SQL metacharacters
• Deploy a WAF configured to filter SQL injection patterns in the Search parameter
• Restrict database user permissions to read-only access for the web application account where possible

# Example WAF rule configuration (ModSecurity)
# Block common SQL injection patterns in search parameters
SecRule ARGS:Search "@detectSQLi" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    log,\
    msg:'SQL Injection attempt detected in Search parameter',\
    severity:'CRITICAL'"