Whoami Process Activity

Identifies suspicious use of whoami.exe which displays user, group, and privileges information for the user who is currently logged on to the local system.

Elastic rule (View on GitHub)

  1[metadata]
  2creation_date = "2020/02/18"
  3integration = ["endpoint", "system", "windows", "m365_defender"]
  4maturity = "production"
  5updated_date = "2024/10/15"
  6min_stack_version = "8.14.0"
  7min_stack_comments = "Breaking change at 8.14.0 for the Windows Integration."
  8
  9[rule]
 10author = ["Elastic"]
 11description = """
 12Identifies suspicious use of whoami.exe which displays user, group, and privileges information for the user who is
 13currently logged on to the local system.
 14"""
 15false_positives = [
 16    """
 17    Some normal use of this program, at varying levels of frequency, may originate from scripts, automation tools and
 18    frameworks. Usage by non-engineers and ordinary users is unusual.
 19    """,
 20]
 21from = "now-9m"
 22index = ["winlogbeat-*", "logs-endpoint.events.process-*", "logs-windows.*", "logs-system.*", "endgame-*", "logs-m365_defender.event-*"]
 23language = "eql"
 24license = "Elastic License v2"
 25name = "Whoami Process Activity"
 26note = """## Triage and analysis
 27
 28### Investigating Whoami Process Activity
 29
 30After successfully compromising an environment, attackers may try to gain situational awareness to plan their next steps. This can happen by running commands to enumerate network resources, users, connections, files, and installed security software.
 31
 32This rule looks for the execution of the `whoami` utility. Attackers commonly use this utility to measure their current privileges, discover the current user, determine if a privilege escalation was successful, etc.
 33
 34#### Possible investigation steps
 35
 36- Investigate the process execution chain (parent process tree) for unknown processes. Examine their executable files for prevalence, whether they are located in expected locations, and if they are signed with valid digital signatures.
 37- Identify the user account that performed the action and whether it should perform this kind of action.
 38- Investigate other alerts associated with the user/host during the past 48 hours.
 39- Investigate any abnormal account behavior, such as command executions, file creations or modifications, and network connections.
 40
 41### False positive analysis
 42
 43- Discovery activities are not inherently malicious if they occur in isolation. As long as the analyst did not identify suspicious activity related to the user or host, such alerts can be dismissed.
 44
 45### Related rules
 46
 47- Account Discovery Command via SYSTEM Account - 2856446a-34e6-435b-9fb5-f8f040bfa7ed
 48
 49### Response and remediation
 50
 51- Initiate the incident response process based on the outcome of the triage.
 52- Isolate the involved hosts to prevent further post-compromise behavior.
 53- Investigate credential exposure on systems compromised or used by the attacker to ensure all compromised accounts are identified. Reset passwords for these accounts and other potentially compromised credentials, such as email, business systems, and web services.
 54- Run a full antimalware scan. This may reveal additional artifacts left in the system, persistence mechanisms, and malware components.
 55- Determine the initial vector abused by the attacker and take action to prevent reinfection through the same vector.
 56- Using the incident response data, update logging and audit policies to improve the mean time to detect (MTTD) and the mean time to respond (MTTR).
 57"""
 58risk_score = 21
 59rule_id = "ef862985-3f13-4262-a686-5f357bbb9bc2"
 60setup = """## Setup
 61
 62If enabling an EQL rule on a non-elastic-agent index (such as beats) for versions <8.2,
 63events will not define `event.ingested` and default fallback for EQL rules was not added until version 8.2.
 64Hence for this rule to work effectively, users will need to add a custom ingest pipeline to populate
 65`event.ingested` to @timestamp.
 66For more details on adding a custom ingest pipeline refer - https://www.elastic.co/guide/en/fleet/current/data-streams-pipeline-tutorial.html
 67"""
 68severity = "low"
 69tags = [
 70    "Domain: Endpoint",
 71    "OS: Windows",
 72    "Use Case: Threat Detection",
 73    "Tactic: Discovery",
 74    "Resources: Investigation Guide",
 75    "Data Source: Elastic Endgame",
 76    "Data Source: Elastic Defend",
 77    "Data Source: Microsoft Defender for Endpoint",
 78    "Data Source: System",
 79]
 80timestamp_override = "event.ingested"
 81type = "eql"
 82
 83query = '''
 84process where host.os.type == "windows" and event.type == "start" and process.name : "whoami.exe" and
 85(
 86  (
 87    /* scoped for whoami execution under system privileges */
 88    (
 89      user.domain : ("NT *", "* NT", "IIS APPPOOL") and
 90      user.id : ("S-1-5-18", "S-1-5-19", "S-1-5-20", "S-1-5-82-*") and
 91      not ?winlog.event_data.SubjectUserName : "*$"
 92    ) and
 93    not (
 94      process.parent.name : "cmd.exe" and
 95      process.parent.args : (
 96          "chcp 437>nul 2>&1 & C:\\WINDOWS\\System32\\whoami.exe  /groups",
 97          "chcp 437>nul 2>&1 & %systemroot%\\system32\\whoami /user",
 98          "C:\\WINDOWS\\System32\\whoami.exe /groups",
 99          "*WINDOWS\\system32\\config\\systemprofile*"
100      )
101    ) and
102    not (process.parent.executable : "C:\\Windows\\system32\\inetsrv\\appcmd.exe" and process.parent.args : "LIST") and
103    not process.parent.executable : (
104        "C:\\Program Files\\Microsoft Monitoring Agent\\Agent\\MonitoringHost.exe",
105        "C:\\Program Files\\Cohesity\\cohesity_windows_agent_service.exe"
106    )
107  ) or
108  process.parent.name : ("wsmprovhost.exe", "w3wp.exe", "wmiprvse.exe", "rundll32.exe", "regsvr32.exe")
109)
110'''
111
112
113[[rule.threat]]
114framework = "MITRE ATT&CK"
115[[rule.threat.technique]]
116id = "T1033"
117name = "System Owner/User Discovery"
118reference = "https://attack.mitre.org/techniques/T1033/"
119
120
121[rule.threat.tactic]
122id = "TA0007"
123name = "Discovery"
124reference = "https://attack.mitre.org/tactics/TA0007/"

Triage and analysis

Investigating Whoami Process Activity

After successfully compromising an environment, attackers may try to gain situational awareness to plan their next steps. This can happen by running commands to enumerate network resources, users, connections, files, and installed security software.

This rule looks for the execution of the whoami utility. Attackers commonly use this utility to measure their current privileges, discover the current user, determine if a privilege escalation was successful, etc.

Possible investigation steps

  • Investigate the process execution chain (parent process tree) for unknown processes. Examine their executable files for prevalence, whether they are located in expected locations, and if they are signed with valid digital signatures.
  • Identify the user account that performed the action and whether it should perform this kind of action.
  • Investigate other alerts associated with the user/host during the past 48 hours.
  • Investigate any abnormal account behavior, such as command executions, file creations or modifications, and network connections.

False positive analysis

  • Discovery activities are not inherently malicious if they occur in isolation. As long as the analyst did not identify suspicious activity related to the user or host, such alerts can be dismissed.
  • Account Discovery Command via SYSTEM Account - 2856446a-34e6-435b-9fb5-f8f040bfa7ed

Response and remediation

  • Initiate the incident response process based on the outcome of the triage.
  • Isolate the involved hosts to prevent further post-compromise behavior.
  • Investigate credential exposure on systems compromised or used by the attacker to ensure all compromised accounts are identified. Reset passwords for these accounts and other potentially compromised credentials, such as email, business systems, and web services.
  • Run a full antimalware scan. This may reveal additional artifacts left in the system, persistence mechanisms, and malware components.
  • Determine the initial vector abused by the attacker and take action to prevent reinfection through the same vector.
  • Using the incident response data, update logging and audit policies to improve the mean time to detect (MTTD) and the mean time to respond (MTTR).

Related rules

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