Detection rules › Elastic

Security Software Discovery using WMIC

Status
production
Kind
building block (feeds higher-level correlation rules; not a standalone alert)
Severity
medium
Time window
9m
Author
Elastic
Source
github.com/elastic/detection-rules

Identifies the use of Windows Management Instrumentation Command (WMIC) to discover certain System Security Settings such as AntiVirus or Host Firewall details.

MITRE ATT&CK coverage

Event coverage

Rule body elastic

[metadata]
bypass_bbr_timing = true
creation_date = "2020/10/19"
integration = ["endpoint", "windows", "system"]
maturity = "production"
updated_date = "2025/03/20"

[rule]
author = ["Elastic"]
building_block_type = "default"
description = """
Identifies the use of Windows Management Instrumentation Command (WMIC) to discover certain System Security Settings
such as AntiVirus or Host Firewall details.
"""
from = "now-9m"
index = [
    "endgame-*",
    "logs-endpoint.events.process-*",
    "logs-system.security*",
    "logs-windows.*",
    "winlogbeat-*",
]
language = "eql"
license = "Elastic License v2"
name = "Security Software Discovery using WMIC"
note = """## Triage and analysis

### Investigating Security Software Discovery using WMIC

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 `wmic` utility with arguments compatible to the enumeration of the security software installed on the host. Attackers can use this information to decide whether or not to infect a system, disable protections, use bypasses, 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.

### 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).
"""
risk_score = 47
rule_id = "6ea55c81-e2ba-42f2-a134-bccf857ba922"
severity = "medium"
tags = [
    "Domain: Endpoint",
    "OS: Windows",
    "Use Case: Threat Detection",
    "Tactic: Discovery",
    "Resources: Investigation Guide",
    "Data Source: Elastic Endgame",
    "Data Source: Elastic Defend",
    "Rule Type: BBR",
    "Data Source: Windows Security Event Logs",
]
timestamp_override = "event.ingested"
type = "eql"

query = '''
process where host.os.type == "windows" and event.type == "start" and
(process.name : "wmic.exe" or ?process.pe.original_file_name : "wmic.exe") and
process.args : "/namespace:\\\\root\\SecurityCenter2" and process.args : "Get"
'''


[[rule.threat]]
framework = "MITRE ATT&CK"
[[rule.threat.technique]]
id = "T1518"
name = "Software Discovery"
reference = "https://attack.mitre.org/techniques/T1518/"
[[rule.threat.technique.subtechnique]]
id = "T1518.001"
name = "Security Software Discovery"
reference = "https://attack.mitre.org/techniques/T1518/001/"



[rule.threat.tactic]
id = "TA0007"
name = "Discovery"
reference = "https://attack.mitre.org/tactics/TA0007/"
[[rule.threat]]
framework = "MITRE ATT&CK"
[[rule.threat.technique]]
id = "T1047"
name = "Windows Management Instrumentation"
reference = "https://attack.mitre.org/techniques/T1047/"


[rule.threat.tactic]
id = "TA0002"
name = "Execution"
reference = "https://attack.mitre.org/tactics/TA0002/"

Stages and Predicates

Stage 1: process

process where host.os.type == "windows" and event.type == "start" and
(process.name : "wmic.exe" or ?process.pe.original_file_name : "wmic.exe") and
process.args : "/namespace:\\\\root\\SecurityCenter2" and process.args : "Get"

Indicators

Each row is a field, operator, and value that the rule matches. The corpus column counts how many other rules in the catalog look for the same combination: high numbers point to widely-used, community-vetted indicators. Blank or 1 shows that the indicator is specific to this rule.

FieldKindValues
event.typeeq
  • start corpus 606 (elastic 606)
process.argswildcard
  • /namespace:\\root\SecurityCenter2
  • Get
process.namewildcard
  • wmic.exe corpus 47 (splunk 27, elastic 20)
process.pe.original_file_namewildcard
  • wmic.exe corpus 61 (sigma 36, splunk 18, elastic 7)