The HTTP Malware User Agent rule is a detection logic developed for use within Splunk to analyze web logs specifically for identifying suspicious user agents associated with malware. By leveraging the Web data model, this rule extracts details from HTTP requests, categorizing the user agents against a known list of malware user agents. The process initiates by monitoring incoming HTTP user agents and employing lookups against the `malware_user_agents` list. Identified user agents categorized as malware trigger alerts, providing insights into potential compromised sources within the network. The gathered data includes when the malware was first and last seen, alongside the respective src and destination IP addresses. This rule is valuable for security analysts aiming to maintain the integrity of their networks by benefiting from detailed analysis of user agent behavior in web transactions.