CVE-2022-31355 in Online Ordering System
Summary
by MITRE • 06/17/2022
Online Ordering System v2.3.2 was discovered to contain a SQL injection vulnerability via /ordering/index.php?q=category&search=.
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Analysis
by VulDB Data Team • 06/17/2022
The vulnerability identified as CVE-2022-31355 represents a critical security flaw in the Online Ordering System version 2.3.2 that exposes the application to unauthorized data access through SQL injection techniques. This vulnerability specifically manifests within the application's category search functionality at the endpoint /ordering/index.php?q=category&search=. The flaw allows malicious actors to manipulate the database queries by injecting malicious SQL code through the search parameter, potentially compromising the entire backend database infrastructure. This type of vulnerability falls under the Common Weakness Enumeration category CWE-89 which specifically addresses SQL injection flaws where untrusted data is incorporated into SQL queries without proper sanitization or parameterization.
The technical exploitation of this vulnerability occurs when an attacker submits specially crafted input through the search parameter field that bypasses the application's input validation mechanisms. The application fails to properly sanitize or escape user-supplied data before incorporating it into database queries, creating an opportunity for attackers to execute arbitrary SQL commands. This weakness enables unauthorized users to perform operations such as data extraction, modification, or deletion from the underlying database system. The impact extends beyond simple data theft as attackers can potentially escalate privileges, access administrative functions, or even gain remote code execution capabilities depending on the database configuration and permissions. The vulnerability directly aligns with ATT&CK technique T1071.005 which covers application layer protocol evasion through SQL injection attacks.
The operational impact of this vulnerability poses significant risks to businesses relying on the Online Ordering System for customer data management and transaction processing. Successful exploitation could result in the exposure of sensitive customer information including personal details, order histories, payment information, and other confidential data. Organizations may face regulatory compliance violations under data protection laws such as GDPR, CCPA, or PCI DSS standards due to unauthorized data access. The vulnerability also threatens business continuity by potentially disrupting ordering processes and damaging customer trust. Database administrators may experience unauthorized access to system tables and configuration data, which could lead to further system compromise. The attack surface is particularly concerning as the vulnerability affects the core ordering functionality that customers interact with regularly, making it an attractive target for cybercriminals seeking to exploit the system for financial gain or data theft.
Mitigation strategies for CVE-2022-31355 should focus on implementing proper input validation and parameterized queries to prevent SQL injection attacks. Organizations must immediately patch the application to the latest version where this vulnerability has been addressed. The implementation of prepared statements or parameterized queries should be enforced throughout the application codebase to ensure that user input is properly escaped and treated as data rather than executable code. Web application firewalls should be configured to detect and block suspicious SQL injection patterns targeting the vulnerable endpoint. Input sanitization mechanisms must be strengthened to validate and filter all user-supplied data before processing. Additionally, database access should be restricted to minimum necessary privileges, and regular security audits should be conducted to identify similar vulnerabilities. Security monitoring systems should be enhanced to detect unusual database access patterns that might indicate exploitation attempts. The vulnerability also highlights the importance of following secure coding practices and conducting regular penetration testing to identify and remediate similar weaknesses in the application's architecture.