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CVE-2026-3793: SQL Injection in SourceCodester Sales and Inventory System

0
Medium
VulnerabilityCVE-2026-3793cvecve-2026-3793
Published: Mon Mar 09 2026 (03/09/2026, 01:32:08 UTC)
Source: CVE Database V5
Vendor/Project: SourceCodester
Product: Sales and Inventory System

Description

A vulnerability was determined in SourceCodester Sales and Inventory System 1.0. This vulnerability affects unknown code of the file sales_invoice1.php of the component GET Parameter Handler. This manipulation of the argument sellid causes sql injection. It is possible to initiate the attack remotely. The exploit has been publicly disclosed and may be utilized.

AI-Powered Analysis

AILast updated: 03/09/2026, 02:37:27 UTC

Technical Analysis

CVE-2026-3793 identifies a SQL injection vulnerability in SourceCodester Sales and Inventory System version 1.0, specifically in the sales_invoice1.php component. The vulnerability arises from improper handling of the GET parameter 'sellid', which allows an attacker to manipulate SQL queries executed by the application. This injection flaw can be exploited remotely without user interaction and requires only low privileges, enabling attackers to execute arbitrary SQL commands. Potential consequences include unauthorized data disclosure, data modification, or deletion, which compromises the confidentiality, integrity, and availability of the underlying database. The vulnerability does not require authentication, increasing its risk profile. The CVSS 4.0 vector indicates network attack vector (AV:N), low attack complexity (AC:L), no privileges required (PR:L), no user interaction (UI:N), and impacts on confidentiality, integrity, and availability at a low level (L). Although no known exploits are currently active, the public disclosure of exploit details increases the likelihood of future attacks. No official patches or fixes have been published, necessitating immediate mitigation efforts by affected organizations.

Potential Impact

The impact of CVE-2026-3793 on organizations using SourceCodester Sales and Inventory System 1.0 can be significant. Successful exploitation could allow attackers to access sensitive sales and inventory data, manipulate records, or disrupt business operations by corrupting the database. This can lead to financial losses, regulatory compliance violations, and reputational damage. Since the vulnerability can be exploited remotely without user interaction, attackers can automate attacks at scale, increasing the risk of widespread compromise. The requirement of low privileges means that even limited access users or unauthenticated attackers (depending on deployment) might exploit the flaw. Organizations relying on this system for critical inventory and sales management are particularly at risk, as data integrity and availability are essential for operational continuity.

Mitigation Recommendations

To mitigate CVE-2026-3793, organizations should immediately implement strict input validation and parameterized queries or prepared statements to prevent SQL injection in the sales_invoice1.php file, specifically sanitizing the 'sellid' GET parameter. If source code modification is not feasible immediately, deploying a Web Application Firewall (WAF) with custom rules to detect and block SQL injection attempts targeting this parameter can provide temporary protection. Conduct thorough code reviews and security testing of all input handling components in the application. Monitor logs for suspicious database query patterns or repeated access attempts to the vulnerable endpoint. Organizations should also isolate the affected system within the network to limit exposure and restrict access to trusted users only. Finally, maintain regular backups of the database to enable recovery in case of data corruption or deletion.

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Technical Details

Data Version
5.2
Assigner Short Name
VulDB
Date Reserved
2026-03-08T07:24:05.096Z
Cvss Version
4.0
State
PUBLISHED

Threat ID: 69ae2ef52904315ca3454d29

Added to database: 3/9/2026, 2:22:45 AM

Last enriched: 3/9/2026, 2:37:27 AM

Last updated: 3/13/2026, 8:15:37 PM

Views: 31

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