Name:Windows PUA Named Pipe id:95b11d20-e2c6-46a5-b526-8629f5f0860a version:5 date:None author:Raven Tait, Splunk status:production type:Anomaly Description:The following analytic detects the creation or connection to named pipes used by potentially unwanted applications (PUAs) like VPNs or utilities like PsExec.
It leverages Sysmon EventCodes 17 and 18.
If confirmed malicious, this could allow an attacker to abuse these to potentially gain persistence, command and control, or further system compromise.
Data_source:
| stats min(_time) as firstTime max(_time) as lastTime count by dest dvc process_exec process_guid process_id process_path signature signature_id vendor_product pipe_name user_id Image process_name
| lookup pua_named_pipes pua_pipe_name AS pipe_name OUTPUT tool, description | where isnotnull(tool) | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)` | `windows_pua_named_pipe_filter`
how_to_implement:To successfully implement this search, you need to be ingesting
logs with the process name and pipename from your endpoints. If you are using Sysmon,
you must have at least version 6.0.4 of the Sysmon TA.
known_false_positives:PUAs can be used in a legitimate manner. Therefore, some of the named pipes identified and added may cause false positives.
Filter by process name or pipe name to reduce false positives.
References: -https://attack.mitre.org/techniques/T1218/009/ -https://docs.microsoft.com/en-us/windows/win32/ipc/named-pipes drilldown_searches: name:'View the detection results for - "$dest$"' search:'%original_detection_search% | search dest = "$dest$"' earliest_offset:'$info_min_time$' latest_offset:'$info_max_time$' name:'View risk events for the last 7 days for - "$dest$"' search:'| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$dest$") | 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:['Active Directory Lateral Movement', 'BlackByte Ransomware', 'Cactus Ransomware', 'CISA AA22-320A', 'DarkGate Malware', 'DarkSide Ransomware', 'DHS Report TA18-074A', 'HAFNIUM Group', 'IcedID', 'Medusa Ransomware', 'Rhysida Ransomware', 'SamSam Ransomware', 'Sandworm Tools', 'Seashell Blizzard', 'VanHelsing Ransomware', 'Volt Typhoon']
