CVE-2024-5100 in Simple Inventory System
Summary
by MITRE • 05/19/2024
A vulnerability was found in SourceCodester Simple Inventory System 1.0. It has been classified as critical. This affects an unknown part of the file tableedit.php. The manipulation of the argument from/to leads to sql injection. It is possible to initiate the attack remotely. The exploit has been disclosed to the public and may be used. The associated identifier of this vulnerability is VDB-265083.
If you want to get best quality of vulnerability data, you may have to visit VulDB.
Analysis
by VulDB Data Team • 02/10/2025
The vulnerability identified as CVE-2024-5100 represents a critical sql injection flaw within the SourceCodester Simple Inventory System version 1.0, specifically impacting the tableedit.php component. This vulnerability falls under the CWE-89 category, which encompasses sql injection attacks that occur when user-supplied data is directly incorporated into sql queries without proper sanitization or parameterization. The flaw manifests when the from/to arguments are processed within the tableedit.php file, creating an exploitable condition where malicious input can manipulate the underlying database operations. The vulnerability's classification as critical indicates the potential for severe impact including complete database compromise, unauthorized data access, and possible system takeover.
The technical exploitation of this vulnerability occurs through remote manipulation of the from/to parameters in the tableedit.php file, allowing attackers to inject malicious sql code that bypasses normal authentication and authorization mechanisms. This remote attack vector means that an unauthenticated attacker can potentially execute arbitrary sql commands against the vulnerable system's database without requiring physical access or prior login credentials. The disclosure of the exploit to the public community significantly increases the risk profile, as malicious actors can readily implement the attack without requiring advanced technical skills or extensive reconnaissance. The vulnerability's presence in a simple inventory management system suggests that it may affect small to medium business environments where database security controls may be minimal or improperly configured.
The operational impact of this vulnerability extends beyond simple data theft to encompass complete system compromise and potential business disruption. Successful exploitation could result in unauthorized modification or deletion of inventory data, financial records, user credentials, and other sensitive information stored within the system's database. Organizations utilizing this inventory system may face regulatory compliance violations, financial losses, reputation damage, and potential legal consequences due to data breaches. The vulnerability's exploitation could also serve as a foothold for further attacks within a network, as compromised database credentials might be used to access other interconnected systems. Security professionals should consider this vulnerability as a potential entry point for advanced persistent threats that could escalate beyond the initial compromise.
Mitigation strategies for CVE-2024-5100 should prioritize immediate patching of the SourceCodester Simple Inventory System to the latest available version that addresses this sql injection vulnerability. Organizations should implement proper input validation and parameterized queries throughout the application to prevent similar issues in the future, aligning with the ATT&CK framework's defensive techniques for preventing code injection attacks. Network segmentation and database access controls should be enhanced to limit the potential impact of successful exploitation, while regular security audits and penetration testing should be conducted to identify additional vulnerabilities. Additionally, implementing web application firewalls and intrusion detection systems can provide additional layers of protection against sql injection attempts. Organizations should also establish incident response procedures specifically designed to handle database compromise scenarios, ensuring rapid detection and remediation of any exploitation attempts.