CVE-2026-3793: SQL Injection in SourceCodester Sales and Inventory System
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 Analysis
Technical Summary
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.
Affected Countries
United States, India, Brazil, Indonesia, Philippines, Nigeria, South Africa, Mexico, Pakistan, Bangladesh
CVE-2026-3793: SQL Injection in SourceCodester 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
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.
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
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
Need more coverage?
Upgrade to Pro Console in Console -> Billing for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.