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sigma-rules/rules/ml/ml_high_count_network_events.toml
T
Colson Wilhoit 150ff0502e Linux Shell Evasion Rule Tuning (#1878)
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2022-03-29 21:03:35 -04:00

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1.3 KiB
TOML

[metadata]
creation_date = "2021/04/05"
maturity = "production"
updated_date = "2021/08/14"
[rule]
anomaly_threshold = 75
author = ["Elastic"]
description = """
A machine learning job detected an unusually large spike in network traffic. Such a burst of traffic,
if not caused by a surge in business activity, can be due to suspicious or malicious activity.
Large-scale data exfiltration may produce a burst of network traffic; this could also be due to unusually
large amounts of reconnaissance or enumeration traffic. Denial-of-service attacks or traffic floods may
also produce such a surge in traffic.
"""
false_positives = [
"""
Business workflows that occur very occasionally, and involve an unusual surge in network traffic,
can trigger this alert. A new business workflow or a surge in business activity may trigger this alert.
A misconfigured network application or firewall may trigger this alert.
""",
]
from = "now-30m"
interval = "15m"
license = "Elastic License v2"
machine_learning_job_id = "high_count_network_events"
name = "Spike in Network Traffic"
references = ["https://www.elastic.co/guide/en/security/current/prebuilt-ml-jobs.html"]
risk_score = 21
rule_id = "b240bfb8-26b7-4e5e-924e-218144a3fa71"
severity = "low"
tags = ["Elastic", "Network", "Threat Detection", "ML"]
type = "machine_learning"