The 'Brand Impersonation: TikTok' rule is designed to detect phishing attempts that impersonate TikTok through various methods including display name similarity and logo recognition. The rule utilizes case-insensitive checks against the display name of a sender, applying Levenshtein distance algorithms to capture names that are closely related to 'TikTok'. Furthermore, it incorporates computer vision to detect the TikTok logo in any shared message screenshots, ensuring high confidence in identification. It also analyzes the content of messages for security themes, such as 'Security and Authentication' topics, and checks for natural language intents indicating credential theft. Additionally, it filters out legitimate communications by verifying senders against a list of trusted root domains and ensuring that sender messages haven't been solicited in user profiles. This comprehensive approach ensures precise detection while minimizing false positives from expected TikTok communications, targeting the prevalent threat of credential phishing through brand impersonation tactics.