Overview
CVE-2025-13290 identifies a medium-severity SQL injection vulnerability affecting the Simple Food Ordering System version 1.0. This flaw allows a remote attacker to execute arbitrary SQL commands by manipulating the ID parameter in the /saveorder.php file. The vulnerability is publicly known and an exploit is available, increasing the risk of exploitation.
Technical Details
The SQL injection vulnerability exists due to insufficient sanitization of user-supplied input passed to the ID parameter within the /saveorder.php file. By injecting malicious SQL code into this parameter, an attacker can potentially:
- Bypass authentication mechanisms.
- Read sensitive data from the database (e.g., user credentials, order details, payment information).
- Modify or delete data within the database, leading to data corruption or denial of service.
- Potentially execute arbitrary commands on the underlying server, depending on database permissions and configuration.
The vulnerability is exploitable remotely without requiring authentication, making it a significant security risk. The publicly available exploit makes exploitation easier for malicious actors.
CVSS Analysis
The Common Vulnerability Scoring System (CVSS) score for CVE-2025-13290 is 6.3 (Medium). The CVSS vector and its components are not explicitly provided in the initial data, but a likely vector would involve remote exploitation with some privileges gained.
Key factors contributing to the score include:
- Attack Vector (AV): Network (N) – The vulnerability is exploitable remotely.
- Attack Complexity (AC): Low (L) – Exploitation is relatively straightforward.
- Privileges Required (PR): None (N) – No authentication is required to exploit the vulnerability.
- User Interaction (UI): None (N) – No user interaction is required.
- Scope (S): Changed (C) – Exploiting the vulnerability can affect resources beyond the vulnerable component.
- Confidentiality Impact (C): Low (L) – Exposure of limited sensitive information.
- Integrity Impact (I): Low (L) – Limited modification of data is possible.
- Availability Impact (A): Low (L) – Limited disruption of service is possible.
Possible Impact
A successful SQL injection attack can have severe consequences, including:
- Data Breach: Sensitive customer data, such as names, addresses, phone numbers, email addresses, and payment information, could be stolen.
- Account Takeover: Attackers could gain access to user accounts and perform actions on their behalf.
- Financial Loss: Stolen financial information could be used for fraudulent transactions.
- Reputational Damage: A successful attack could damage the reputation of the business using the Simple Food Ordering System.
- Denial of Service: The database could be corrupted or overloaded, leading to a denial of service for legitimate users.
Mitigation and Patch Steps
Unfortunately, based on the provided information, there is no official patch from the vendor (code-projects.org) currently available. Therefore, the following mitigation steps are recommended:
- Input Validation: Implement robust input validation and sanitization on all user-supplied data, especially the
IDparameter in/saveorder.php. Use parameterized queries or prepared statements to prevent SQL injection. - Web Application Firewall (WAF): Deploy a web application firewall (WAF) to detect and block SQL injection attempts. Configure the WAF with rules specific to known SQL injection patterns.
- Least Privilege Principle: Ensure that the database user account used by the application has only the necessary privileges to perform its functions. Avoid granting excessive privileges that could be exploited by an attacker.
- Code Review: Conduct a thorough code review of the Simple Food Ordering System to identify and address other potential vulnerabilities.
- Consider Alternative Solutions: If possible, consider migrating to a more secure and actively maintained food ordering system.
- Stay Informed: Continuously monitor security advisories and vulnerability databases for updates and patches related to the Simple Food Ordering System or its dependencies.
