CVE-2020-35563 in mymbCONNECT24
Summary
by MITRE • 02/16/2021
An issue was discovered in MB CONNECT LINE mymbCONNECT24 and mbCONNECT24 through 2.6.2. There is an incomplete XSS filter allowing an attacker to inject crafted malicious code into the page.
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Analysis
by VulDB Data Team • 03/02/2021
The vulnerability identified as CVE-2020-35563 affects MB CONNECT LINE mymbCONNECT24 and mbCONNECT24 versions up to 2.6.2, representing a critical security flaw in the web application's input validation mechanisms. This issue stems from an incomplete cross-site scripting filter that fails to properly sanitize user-supplied data before rendering it within web pages, creating a persistent vector for malicious code injection attacks.
The technical implementation of this vulnerability demonstrates a classic incomplete input validation flaw that aligns with CWE-79, which specifically addresses cross-site scripting vulnerabilities. The filter mechanism in place does not adequately account for various encoding techniques or obfuscation methods that attackers might employ to bypass initial sanitization checks. This incomplete filtering allows malicious payloads to persist in the application's response, enabling attackers to execute arbitrary JavaScript code within the context of other users' browsers when they view affected content.
From an operational impact perspective, this vulnerability exposes users to significant risks including session hijacking, credential theft, and potential full system compromise. Attackers can leverage this flaw to inject malicious scripts that can steal cookies, redirect users to phishing sites, or perform actions on behalf of authenticated users without their knowledge. The attack surface extends beyond simple data exfiltration to include more sophisticated persistent threats that can maintain access over extended periods. The vulnerability affects the application's core functionality where user input is processed and displayed, making it particularly dangerous as it can be exploited through various user interactions.
The exploitation of this vulnerability requires minimal technical skill and can be executed through standard web application attack vectors, making it particularly concerning for widespread impact. Security professionals should consider this vulnerability in the context of the ATT&CK framework under the T1059.007 technique for scripting languages and T1566 for credential access through social engineering. The affected versions suggest this was likely a regression or oversight in the security implementation, indicating potential gaps in the application's security testing and code review processes. Organizations should prioritize immediate remediation through proper input sanitization, output encoding, and comprehensive security testing to address this vulnerability before it can be exploited in the wild.
Mitigation strategies should focus on implementing robust input validation that employs multiple layers of protection including proper HTML encoding, Content Security Policy implementation, and regular security audits. The fix should involve comprehensive sanitization of all user-supplied input and proper output encoding to prevent any malicious code from executing in the browser context. Organizations should also consider implementing web application firewalls and monitoring for suspicious input patterns to detect potential exploitation attempts.