CVE-2023-45339 in Online Food Ordering System
Summary
by MITRE • 11/02/2023
Online Food Ordering System v1.0 is vulnerable to multiple Unauthenticated SQL Injection vulnerabilities. The 'type' parameter of the routers/add-ticket.php resource does not validate the characters received and they are sent unfiltered to the database.
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Analysis
by VulDB Data Team • 11/30/2023
The Online Food Ordering System v1.0 presents a critical security weakness through its lack of input validation for the 'type' parameter in the routers/add-ticket.php endpoint. This vulnerability classifies under CWE-89 which specifically addresses SQL injection flaws where untrusted data is directly incorporated into SQL command strings without proper sanitization or parameterization. The absence of input filtering creates an exploitable condition where malicious actors can manipulate database queries through crafted payloads. The vulnerability affects the system's authentication model as it allows unauthenticated attackers to execute arbitrary SQL commands against the backend database, bypassing normal access controls entirely. This particular flaw represents a significant risk since it eliminates the need for legitimate credentials to exploit the system's database layer.
The technical exploitation of this vulnerability occurs when an attacker submits malicious input through the 'type' parameter, which then flows directly into database queries without any sanitization measures. This unfiltered data processing creates multiple attack vectors that can lead to data extraction, modification, or deletion. The vulnerability's impact extends beyond simple data access as it enables attackers to potentially escalate privileges within the database, execute operating system commands, or even establish persistent backdoors. The lack of proper parameterization in the database interaction means that SQL command structure can be altered through user input, allowing attackers to inject malicious SQL fragments that can manipulate the entire database schema. This weakness is particularly dangerous because it operates at the database interface level, providing attackers with direct access to stored information including user credentials, order histories, and system configurations.
The operational consequences of this vulnerability are severe and multifaceted across multiple security domains. Organizations using this system face potential data breaches that could expose sensitive customer information including personal details, payment information, and ordering patterns. The unauthenticated nature of the exploit means that attackers can target the system without requiring prior access credentials, making detection more challenging. This vulnerability aligns with ATT&CK technique T1190 which describes exploitation of remote services, and T1071.004 which covers application layer protocol usage. The attack surface expands significantly as the vulnerability can be leveraged for further reconnaissance, potentially leading to additional system compromises. Database administrators may find it difficult to trace malicious activities since the attacks appear to originate from legitimate system components, complicating forensic analysis and incident response efforts.
Mitigation strategies for this vulnerability must address the fundamental lack of input validation and implement proper parameterized queries. The immediate solution involves implementing strict input validation for the 'type' parameter, rejecting any input containing SQL metacharacters or suspicious patterns. Organizations should deploy web application firewalls to monitor and filter traffic to the affected endpoint, while also implementing proper database access controls to limit the privileges of database accounts used by the application. The system should be updated to use parameterized queries or prepared statements for all database interactions, ensuring that user input is never directly embedded in SQL command strings. Additionally, regular security assessments should be conducted to identify similar vulnerabilities across the entire application codebase, as this flaw may indicate broader issues with input handling practices. Network segmentation and monitoring solutions should be deployed to detect anomalous database access patterns that might indicate exploitation attempts, while also implementing comprehensive logging mechanisms to track all database interactions for security analysis purposes.