This detection rule focuses on identifying messages that impersonate United Healthcare (UHC) through variations in display names and email sender addresses. The rule utilizes string analysis methods such as case-insensitive matching, handling character substitutions, and evaluating the Levenshtein distance to identify potentially malicious messages that resemble UHC branding. It employs a series of filters to exclude legitimate messages from verified UHC domains, ensuring that emails passing DMARC authentication are not flagged. Additionally, the rule checks for inclusion within high-trust sender domains, as well as differentiating between known UHC domains and other potential impersonations to reduce false positives.