diff --git a/rules/ml/ml_linux_anomalous_metadata_user.toml b/rules/ml/ml_linux_anomalous_metadata_user.toml
new file mode 100644
index 000000000..a53d0f6fe
--- /dev/null
+++ b/rules/ml/ml_linux_anomalous_metadata_user.toml
@@ -0,0 +1,29 @@
+[metadata]
+creation_date = "2020/09/22"
+ecs_version = ["1.6.0"]
+maturity = "production"
+updated_date = "2020/09/22"
+
+[rule]
+anomaly_threshold = 75
+author = ["Elastic"]
+description = """
+Looks for anomalous access to the cloud platform metadata service by an unusual user. The metadata service may be targeted in order to
+harvest credentials or user data scripts containing secrets.
+"""
+false_positives = [
+    """
+    A newly installed program, or one that runs under a new or rarely used user context, could trigger this detection
+    rule. Manual interrogation of the metadata service during debugging or troubleshooting could trigger this rule.
+    """,
+]
+from = "now-45m"
+interval = "15m"
+license = "Elastic License"
+machine_learning_job_id = "linux_rare_metadata_user"
+name = "Unusual Linux User Calling the Metadata Service"
+risk_score = 21
+rule_id = "1faec04b-d902-4f89-8aff-92cd9043c16f"
+severity = "low"
+tags = ["Elastic", "Linux", "ML"]
+type = "machine_learning"