[metadata]
creation_date = "2020/03/25"
ecs_version = ["1.5.0"]
maturity = "production"
updated_date = "2020/03/25"

[rule]
anomaly_threshold = 50
author = ["Elastic"]
description = """
Identifies unusual parent-child process relationships that can indicate malware execution or persistence mechanisms.
Malicious scripts often call on other applications and processes as part of their exploit payload. For example, when a
malicious Office document runs scripts as part of an exploit payload, Excel or Word may start a script interpreter
process, which, in turn, runs a script that downloads and executes malware. Another common scenario is Outlook running
an unusual process when malware is downloaded in an email. Monitoring and identifying anomalous process relationships is
a method of detecting new and emerging malware that is not yet recognized by anti-virus scanners.
"""
false_positives = [
    """
    Users running scripts in the course of technical support operations of software upgrades could trigger this signal.
    A newly installed program or one that runs rarely as part of a monthly or quarterly workflow could trigger this
    signal.
    """,
]
from = "now-45m"
interval = "15m"
license = "Elastic License"
machine_learning_job_id = "windows_anomalous_process_creation"
name = "Anomalous Windows Process Creation"
references = ["https://www.elastic.co/guide/en/siem/guide/current/prebuilt-ml-jobs.html"]
risk_score = 21
rule_id = "0b29cab4-dbbd-4a3f-9e8e-1287c7c11ae5"
severity = "low"
tags = ["Elastic", "ML", "Windows"]
type = "machine_learning"