The 'Predatory Academic Journal Solicitation' detection rule is designed to identify unsolicited messages related to academic publishing that exhibit suspicious characteristics. The rule leverages various patterns and methodologies to filter through communication threads, focusing on tactics often associated with predatory journals. The detection mechanism flags messages that utilize character manipulation, overly flattering language, urgent deadlines, and anomalous domain registration to entice academics into submitting papers or reviews. Key features of the rule include the analysis of the sender's email domain for recent registration, checks for known predatory journals, and scrutiny of language patterns typical of malicious solicitations. By implementing Natural Language Understanding and content analysis methods, the rule assesses the message content for specified keywords or phrases that might indicate a predatory solicitation. Verification against WHOIS data is also crucial, checking aspects such as the age of the domain and country of registration to highlight potential fraudulent activity. Overall, this rule is a robust tool for protecting academics from being targeted by impostors posing as legitimate journals.