This detection rule identifies messages attempting to impersonate Disney, utilizing a combination of techniques such as display name spoofing and brand logo analysis. It combines machine learning methods to assess the credibility of the sender's display name and checks for high-confidence security-themed content within the message body. The rule looks for specific patterns that indicate potential impersonation by leveraging the credibility of the sender's email domain against a list of authorized Disney domains and a set of high trust domains. Additionally, it assesses for the presence of dangerous topics and intents relating to credential theft, alongside the analysis of the email's authentication results to ensure that spoofed emails are flagged effectively. The detection mechanisms postulate not only on the sender's displayed information but also on the contextual content of the communications aiming for robust identification and alerting on phishing attempts targeting Disney's brand.