CVE-2022-31971 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/view_response&id=.
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Analysis
by VulDB Data Team • 06/08/2022
The vulnerability identified as CVE-2022-31971 affects the ChatBot App with Suggestion v1.0 application, specifically targeting its administrative interface through a poorly sanitized input parameter. This SQL injection flaw exists within the URL path /simple_chat_bot/admin/?page=responses/view_response&id= where the application fails to properly validate or escape user-supplied data before incorporating it into database queries. The vulnerability represents a critical security weakness that allows attackers to manipulate the underlying database through crafted input, potentially leading to unauthorized data access, modification, or destruction.
The technical implementation of this vulnerability stems from inadequate input validation practices within the application's backend processing logic. When a user or attacker supplies an id parameter through the URL, the application directly incorporates this value into SQL query construction without proper sanitization or parameterization. This design flaw aligns with CWE-89, which specifically addresses SQL injection vulnerabilities where untrusted data is concatenated into SQL commands. The attack vector is particularly concerning as it targets the administrative section of the application, providing potential access to privileged functions and sensitive data management capabilities.
The operational impact of this vulnerability extends beyond simple data exposure, as it enables attackers to perform various malicious activities through the compromised SQL interface. An attacker could extract sensitive information from the database including user credentials, chat logs, system configurations, or other confidential data. Additionally, the vulnerability may allow for data manipulation, deletion of critical records, or even privilege escalation within the application's administrative framework. The attack surface is further expanded by the fact that this vulnerability exists in the administrative section, which typically requires elevated privileges and contains the most sensitive functionality of the application.
Security professionals should immediately implement comprehensive mitigations for this vulnerability, beginning with the implementation of proper input validation and parameterized queries throughout the application's codebase. The recommended approach involves adopting prepared statements or parameterized queries to ensure that user input is never directly concatenated into SQL commands. Additionally, input sanitization measures should be implemented to filter out potentially malicious characters and patterns that could be used in SQL injection attacks. Organizations should also consider implementing web application firewalls and input validation rules at the network level to provide additional protection against exploitation attempts. Regular security testing including automated scanning and manual penetration testing should be conducted to identify and remediate similar vulnerabilities across the entire application stack, aligning with ATT&CK framework techniques related to credential access and data extraction through injection flaws.