CVE-2024-47223 in MiCollab
Summary
by MITRE • 10/21/2024
A vulnerability in the AWV (Audio, Web and Video Conferencing) component of Mitel MiCollab through 9.8 SP1 FP2 (9.8.1.201) could allow an unauthenticated attacker to conduct a SQL injection attack due to insufficient sanitization of user input. A successful exploit could allow an attacker to access non-sensitive user provisioning information and execute arbitrary SQL database commands.
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Analysis
by VulDB Data Team • 07/08/2025
The vulnerability identified as CVE-2024-47223 represents a critical security flaw within the AWV component of Mitel MiCollab platforms running versions through 9.8 SP1 FP2. This issue stems from inadequate input validation mechanisms that fail to properly sanitize user-supplied data before processing within the application's database layer. The affected system architecture processes user inputs through the audio, web, and video conferencing functionalities, creating an attack surface where malicious actors can manipulate database queries through carefully crafted input sequences. The vulnerability specifically affects the provisioning and management interfaces that handle user account configurations and system settings within the collaborative communication platform.
The technical implementation of this SQL injection vulnerability occurs when user input flows directly into database query construction without proper sanitization or parameterization. Attackers can exploit this weakness by injecting malicious SQL code through various input fields within the AWV component, potentially including user names, conference identifiers, or configuration parameters. The insufficient sanitization allows attackers to bypass authentication mechanisms and manipulate database operations, enabling them to extract non-sensitive user provisioning information such as account details, access permissions, and system configuration parameters. This flaw operates at the application layer where the database interface lacks proper input validation controls, creating a direct pathway for malicious code execution within the database context.
The operational impact of this vulnerability extends beyond simple data exposure to encompass full database command execution capabilities that could compromise the entire collaborative communication infrastructure. An unauthenticated attacker with access to the affected system could potentially escalate privileges, modify user accounts, or extract sensitive information from the database. The vulnerability affects the core functionality of the MiCollab platform, particularly impacting the audio, web, and video conferencing services that organizations rely upon for business continuity. Organizations utilizing these systems face significant risk of unauthorized access to their communication infrastructure, potentially leading to service disruption, data leakage, and compromise of user privacy. The attack vector requires no authentication credentials, making it particularly dangerous as it can be exploited by anyone with network access to the vulnerable components.
Security mitigations for this vulnerability should focus on implementing comprehensive input validation and parameterized query execution throughout the affected AWV component. Organizations must immediately apply the vendor-provided patches and updates to address the sanitization deficiencies in the user input handling processes. Network segmentation and access controls should be implemented to limit exposure of the vulnerable components to untrusted networks. The implementation of web application firewalls and database activity monitoring systems can provide additional layers of protection against exploitation attempts. Security teams should conduct thorough vulnerability assessments to identify all instances of similar input validation issues within the MiCollab platform and other connected systems. This vulnerability aligns with CWE-89 which specifically addresses SQL injection flaws, and represents a direct violation of secure coding practices outlined in the OWASP Top Ten. The attack pattern corresponds to T1190 in the MITRE ATT&CK framework, categorizing this as a database injection technique that leverages insufficient input validation to gain unauthorized access to backend systems.