From 0a0c5986c5297dc5bb9d5af2caa3bfaba9d958a8 Mon Sep 17 00:00:00 2001
From: Craig Chamberlain <randomuserid@users.noreply.github.com>
Date: Tue, 22 Sep 2020 16:18:51 -0400
Subject: [PATCH] [New Rule] Anomalous Kernel Module Activity (#257)

* Create ml_linux_rare_kernel_module_arguments.toml

* rare module rule

* Update ml_linux_anomalous_kernel_module_arguments.toml

* Update ml_linux_anomalous_kernel_module_arguments.toml

* Update ml_linux_anomalous_kernel_module_arguments.toml

* Update rules/ml/ml_linux_anomalous_kernel_module_arguments.toml

Co-authored-by: Brent Murphy <56412096+bm11100@users.noreply.github.com>

Co-authored-by: Brent Murphy <56412096+bm11100@users.noreply.github.com>
---
 ...nux_anomalous_kernel_module_arguments.toml | 42 +++++++++++++++++++
 1 file changed, 42 insertions(+)
 create mode 100644 rules/ml/ml_linux_anomalous_kernel_module_arguments.toml

diff --git a/rules/ml/ml_linux_anomalous_kernel_module_arguments.toml b/rules/ml/ml_linux_anomalous_kernel_module_arguments.toml
new file mode 100644
index 000000000..25fd58c85
--- /dev/null
+++ b/rules/ml/ml_linux_anomalous_kernel_module_arguments.toml
@@ -0,0 +1,42 @@
+[metadata]
+creation_date = "2020/09/03"
+ecs_version = ["1.6.0"]
+maturity = "production"
+updated_date = "2020/09/03"
+
+[rule]
+anomaly_threshold = 25
+author = ["Elastic"]
+description = """
+Looks for unusual kernel module activity. Kernel modules are sometimes used by malware and persistence mechanisms for
+stealth.
+"""
+false_positives = [
+    """
+    A Linux host running unusual device drivers or other kinds of kernel modules could trigger this detection.
+    Troubleshooting or debugging activity using unusual arguments could also trigger this detection.
+    """,
+]
+from = "now-45m"
+interval = "15m"
+license = "Elastic License"
+machine_learning_job_id = "linux_rare_kernel_module_arguments"
+name = "Anomalous Kernel Module Activity"
+references = ["references"]
+risk_score = 21
+rule_id = "37b0816d-af40-40b4-885f-bb162b3c88a9"
+severity = "low"
+tags = ["Elastic", "Linux", "ML"]
+type = "machine_learning"
+[[rule.threat]]
+framework = "MITRE ATT&CK"
+[[rule.threat.technique]]
+id = "T1215"
+name = "Kernel Modules and Extensions"
+reference = "https://attack.mitre.org/techniques/T1215/"
+
+
+[rule.threat.tactic]
+id = "TA0003"
+name = "Persistence"
+reference = "https://attack.mitre.org/tactics/TA0003/"