CVE-2022-31970 in ChatBot App with Suggestion
Summary
by MITRE • 06/02/2022
ChatBot App with Suggestion v1.0 is vulnerable to SQL Injection via /simple_chat_bot/admin/?page=responses/manage_response&id=.
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Analysis
by VulDB Data Team • 06/08/2022
The vulnerability identified as CVE-2022-31970 affects the ChatBot App with Suggestion v1.0 application, specifically targeting its administrative interface component. This issue manifests through a SQL injection attack vector that exploits a parameter in the URL path, namely the id parameter within the manage_response endpoint. The affected application fails to properly validate or sanitize user input before incorporating it into database queries, creating an exploitable condition that allows malicious actors to manipulate the underlying database structure.
This SQL injection vulnerability stems from inadequate input validation mechanisms within the application's backend processing logic. The parameter id= within the URL path /simple_chat_bot/admin/?page=responses/manage_response&id= represents a clear entry point for attackers to inject malicious SQL code. When the application processes this parameter without proper sanitization, it becomes susceptible to commands that can extract, modify, or delete database information. The vulnerability is classified under CWE-89 which specifically addresses SQL injection flaws, representing one of the most common and dangerous web application security weaknesses.
The operational impact of this vulnerability extends beyond simple data exposure, potentially allowing attackers to gain unauthorized access to sensitive information stored within the application's database. An attacker could leverage this vulnerability to retrieve confidential user data, administrative credentials, or other critical system information. The implications are particularly severe given that this affects the administrative interface of the chatbot application, which likely contains privileged access controls and sensitive operational data. The attack surface is further expanded by the fact that this vulnerability exists in the management component, potentially providing attackers with elevated privileges within the system.
Mitigation strategies should focus on implementing proper input validation and parameterized queries throughout the application's codebase. The most effective approach involves adopting prepared statements or parameterized queries that separate SQL command structure from data values, thereby preventing malicious input from being interpreted as executable code. Additionally, implementing proper access controls and input sanitization at the application level can significantly reduce the risk of exploitation. Organizations should also consider implementing web application firewalls and regular security assessments to identify similar vulnerabilities. The remediation efforts must address the root cause by ensuring all user-supplied inputs are properly validated and escaped before being processed by the database layer, aligning with the principles outlined in the ATT&CK framework for command and control operations.