Name:HTTP RMM User Agent id:61884b02-0dcf-44c5-9094-db33bac09fa6 version:5 date:None author:Raven Tait, Splunk status:production type:Anomaly Description:This Splunk query analyzes web logs to identify and categorize user agents, detecting various types of Remote Monitoring and Mangement applications. This activity can signify possible compromised hosts on the network. Data_source:
-Suricata
search:| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime FROM datamodel=Web WHERE Web.http_user_agent != null BY Web.http_user_agent Web.http_method, Web.url, Web.url_length Web.src, Web.dest | `drop_dm_object_name("Web")` | lookup rmm_user_agents rmm_user_agent AS http_user_agent OUTPUT tool | where isnotnull(tool) | stats count min(firstTime) as first_seen max(lastTime) as last_seen BY tool url http_user_agent src dest | `security_content_ctime(first_seen)` | `security_content_ctime(last_seen)` | `http_rmm_user_agent_filter`
how_to_implement:To successfully implement this search, you need to be ingesting web or proxy logs, or ensure it is being filled by a proxy like device, into the Web Datamodel. For additional filtering, allow list private IP space or restrict by known good. known_false_positives:Noise and false positive can be seen if these programs are allowed to be used within corporate network. In this case, a filter is needed. References: -https://github.com/mthcht/awesome-lists/blob/main/Lists/suspicious_http_user_agents_list.csv drilldown_searches: name:'View the detection results for - "$src$"' search:'%original_detection_search% | search src = "$src$"' earliest_offset:'$info_min_time$' latest_offset:'$info_max_time$' name:'View risk events for the last 7 days for - "$src$"' search:'| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$src$") | stats count min(_time) as firstTime max(_time) as lastTime values(search_name) as "Search Name" values(risk_message) as "Risk Message" values(analyticstories) as "Analytic Stories" values(annotations._all) as "Annotations" values(annotations.mitre_attack.mitre_tactic) as "ATT&CK Tactics" by normalized_risk_object | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`' earliest_offset:'7d' latest_offset:'0' analytic_story:['Remote Monitoring and Management Software', 'Suspicious User Agents']
