Executive Summary

CVE-2020-37018 is a persistent cross-site scripting (XSS) vulnerability in GOautodial 4.0. Authenticated agents can inject malicious JavaScript code into message subjects. When an administrator views these crafted messages, the embedded scripts execute, potentially allowing attackers to steal session cookies or perform other client-side attacks. [1, 2]

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Impact Analysis

This vulnerability can lead to session cookie theft or other client-side attacks when an administrator reads a maliciously crafted message. This could allow attackers to hijack administrator sessions or perform unauthorized actions within the application, compromising security and potentially leading to further exploitation. [1, 2]

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Detection Guidance

This vulnerability can be detected by reviewing message subjects in GOautodial 4.0 for injected JavaScript code, especially from authenticated agent accounts. Since the exploit involves persistent XSS via message subjects, you can search the database or message logs for suspicious script tags or JavaScript event handlers such as <script> tags or 'onerror' attributes. For example, querying the database for message subjects containing '<script' or 'onerror' strings may help identify malicious entries. Additionally, monitoring HTTP traffic for suspicious payloads in message submission requests could assist detection. Specific commands depend on your environment, but a sample SQL query might be: SELECT * FROM messages WHERE subject LIKE '%<script%'; or using grep on logs: grep -i '<script' /path/to/logs/messages.log. [2]

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Mitigation Strategies

Immediate mitigation steps include restricting agent privileges to prevent unauthorized message injections, sanitizing and validating all user inputs in message subjects to neutralize scripts, and applying patches or updates from GOautodial if available. Additionally, administrators should be cautious when reading messages from agents, especially those containing suspicious content. Implementing Content Security Policy (CSP) headers to limit script execution and educating users about the risk can also help reduce impact. [1, 2]

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