Apoorva Joshi
9482bda414
* Adding related integrations to ML rules * added adjustments to determine related integrations for ML rules * fixed lint errors * Empty commit * Empty commit * Empty commit --------- Co-authored-by: Apoorva Joshi <apoorvajoshi@Apoorvas-MBP.lan> Co-authored-by: Terrance DeJesus <99630311+terrancedejesus@users.noreply.github.com> Co-authored-by: terrancedejesus <terrance.dejesus@elastic.co> Co-authored-by: Apoorva Joshi <apoorvajoshi@Apoorvas-MBP.fritz.box>
48 lines
1.6 KiB
TOML
48 lines
1.6 KiB
TOML
[metadata]
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creation_date = "2020/03/25"
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integration = ["endpoint", "network_traffic"]
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maturity = "production"
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min_stack_comments = "New fields added: required_fields, related_integrations, setup"
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min_stack_version = "8.3.0"
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updated_date = "2023/07/27"
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[rule]
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anomaly_threshold = 50
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author = ["Elastic"]
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description = """
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A machine learning job detected unusually large numbers of DNS queries for a single top-level DNS domain, which is often
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used for DNS tunneling. DNS tunneling can be used for command-and-control, persistence, or data exfiltration activity.
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For example, dnscat tends to generate many DNS questions for a top-level domain as it uses the DNS protocol to tunnel
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data.
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"""
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false_positives = [
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"""
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DNS domains that use large numbers of child domains, such as software or content distribution networks, can trigger
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this alert and such parent domains can be excluded.
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""",
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]
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from = "now-45m"
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interval = "15m"
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license = "Elastic License v2"
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machine_learning_job_id = "packetbeat_dns_tunneling"
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name = "DNS Tunneling"
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references = ["https://www.elastic.co/guide/en/security/current/prebuilt-ml-jobs.html"]
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risk_score = 21
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rule_id = "91f02f01-969f-4167-8f66-07827ac3bdd9"
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severity = "low"
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tags = ["Use Case: Threat Detection", "Rule Type: ML", "Rule Type: Machine Learning", "Tactic: Command and Control"]
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type = "machine_learning"
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[[rule.threat]]
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framework = "MITRE ATT&CK"
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[[rule.threat.technique]]
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id = "T1572"
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name = "Protocol Tunneling"
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reference = "https://attack.mitre.org/techniques/T1572/"
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[rule.threat.tactic]
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id = "TA0011"
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name = "Command and Control"
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reference = "https://attack.mitre.org/tactics/TA0011/"
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