CVE-2022-30459 in ChatBot App with Suggestion
Summary
by MITRE • 05/24/2022
ChatBot App with Suggestion in PHP/OOP v1.0 is vulnerable to SQL Injection via /simple_chat_bot/classes/Master.php?f=delete_response, id.
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Analysis
by VulDB Data Team • 05/29/2022
The vulnerability identified as CVE-2022-30459 affects the ChatBot App with Suggestion in PHP/OOP version 1.0, presenting a critical security flaw that enables unauthorized SQL command execution. This vulnerability specifically manifests through the delete_response functionality within the Master.php file, where user-supplied input is inadequately sanitized before being incorporated into database queries. The attack vector occurs when an attacker manipulates the 'id' parameter through the file path /simple_chat_bot/classes/Master.php?f=delete_response, allowing malicious SQL commands to be executed against the underlying database system.
The technical implementation of this vulnerability stems from improper input validation and sanitization practices within the application's backend code. When the application processes the delete_response function, it directly incorporates the 'id' parameter into SQL queries without adequate escaping or parameterization mechanisms. This primitive approach to database interaction creates an environment where malicious actors can inject arbitrary SQL code through carefully crafted input values. The vulnerability aligns with CWE-89, which specifically addresses SQL injection flaws in software applications, and represents a classic example of insecure database query construction where user-controllable data is not properly escaped or validated before being processed by the database engine.
The operational impact of this vulnerability extends beyond simple data theft, as it provides attackers with substantial control over the application's database infrastructure. Successful exploitation could enable attackers to delete, modify, or extract sensitive information from the database, potentially compromising user data, chat logs, and system configuration details. The vulnerability affects the entire application's data integrity and confidentiality, as it allows for unauthorized access to the backend database through a straightforward HTTP request manipulation. Attackers could leverage this flaw to perform data exfiltration, modify chatbot responses, or even escalate privileges within the system, depending on the database user permissions.
Mitigation strategies for CVE-2022-30459 should focus on implementing robust input validation and parameterized queries throughout the application's codebase. The most effective remediation involves replacing direct SQL query construction with prepared statements that separate SQL logic from user input data, thereby preventing malicious SQL code injection. Additionally, implementing proper input sanitization techniques, including input length validation, character set filtering, and regular expression-based validation, can significantly reduce the attack surface. Organizations should also consider implementing web application firewalls, input/output encoding, and comprehensive logging mechanisms to detect and prevent exploitation attempts. The remediation process must include thorough code review and security testing to ensure all similar vulnerabilities are identified and addressed across the application's functionality, aligning with security best practices outlined in the OWASP Top Ten and NIST cybersecurity frameworks.