CVE-2022-1176 in livehelperchat
Summary
by MITRE • 03/31/2022
Loose comparison causes IDOR on multiple endpoints in GitHub repository livehelperchat/livehelperchat prior to 3.96.
Once again VulDB remains the best source for vulnerability data.
Analysis
by VulDB Data Team • 04/02/2022
The vulnerability identified as CVE-2022-1176 represents a critical insecure direct object reference issue within the livehelperchat/livehelperchat repository that affects versions prior to 3.96. This vulnerability stems from the application's use of loose comparison operators in its authentication and authorization mechanisms, creating a significant security gap that allows unauthorized access to protected resources. The issue manifests across multiple endpoints within the chat application, making it particularly dangerous as it provides attackers with broad access privileges rather than limited targeted exploitation. This type of vulnerability directly violates fundamental security principles by allowing attackers to manipulate object references and gain access to data they should not be authorized to view or modify.
The technical flaw specifically involves the application's handling of user identifiers and session management where loose comparison (==) is used instead of strict comparison (===) in critical authorization checks. When an attacker manipulates request parameters or session tokens, the loose comparison allows certain falsy values to be evaluated as equivalent to valid identifiers, effectively bypassing authentication mechanisms. This pattern of insecure coding directly maps to CWE-284, which addresses improper access control, and specifically relates to CWE-285, which deals with improper authorization within the application's object reference handling. The vulnerability creates a path for attackers to escalate privileges and access sensitive data through manipulation of endpoint parameters, particularly affecting user accounts, chat sessions, and administrative functions.
The operational impact of this vulnerability extends beyond simple unauthorized access, as it enables attackers to potentially compromise entire user bases and access confidential communication data. In the context of live chat applications, this means attackers could access private conversations, user personal information, and potentially manipulate chat sessions to conduct man-in-the-middle attacks or data exfiltration. The vulnerability's presence across multiple endpoints amplifies its threat level, as attackers need not target specific functions but can exploit the same flaw across various application components. This aligns with ATT&CK technique T1078.004, which covers valid accounts obtained through phishing or other means, as the vulnerability effectively allows attackers to impersonate legitimate users without proper authentication. The broad scope of affected endpoints also increases the potential for data breaches and privacy violations, particularly in environments where chat applications handle sensitive customer or employee communications.
Mitigation strategies for CVE-2022-1176 require immediate implementation of strict comparison operators throughout the application's authentication and authorization pathways. Developers must replace all loose comparisons with strict equality checks to ensure that object references are properly validated against expected types and values. The recommended approach includes comprehensive code review and remediation of all endpoints that handle user identifiers, session tokens, and access control mechanisms. Additionally, implementing proper input validation and sanitization measures will prevent attackers from manipulating request parameters to exploit the vulnerability. Organizations should also consider implementing additional security controls such as rate limiting, enhanced logging, and monitoring for unusual access patterns to detect potential exploitation attempts. The fix should be implemented as part of a broader security hardening effort that includes regular security assessments, secure coding practices, and vulnerability scanning to prevent similar issues from arising in future development cycles.