ml_linux_anomalous_network_port_activity.toml

[metadata]
creation_date = "2020/03/25"
maturity = "production"
updated_date = "2022/08/24"
min_stack_comments = "New fields added: required_fields, related_integrations, setup"
min_stack_version = "8.3.0"

[rule]
anomaly_threshold = 50
author = ["Elastic"]
description = """
Identifies unusual destination port activity that can indicate command-and-control, persistence mechanism, or data
exfiltration activity. Rarely used destination port activity is generally unusual in Linux fleets, and can indicate
unauthorized access or threat actor activity.
"""
false_positives = ["A newly installed program or one that rarely uses the network could trigger this alert."]
from = "now-45m"
interval = "15m"
license = "Elastic License v2"
machine_learning_job_id = ["v3_linux_anomalous_network_port_activity"]
name = "Unusual Linux Network Port Activity"
references = ["https://www.elastic.co/guide/en/security/current/prebuilt-ml-jobs.html"]
risk_score = 21
rule_id = "3c7e32e6-6104-46d9-a06e-da0f8b5795a0"
severity = "low"
tags = ["Elastic", "Host", "Linux", "Threat Detection", "ML"]
type = "machine_learning"