Files
sigma-rules/rules/ml/initial_access_ml_auth_rare_user_logon.toml
T
Terrance DeJesus e8c39d19a7 [Rule Tuning] Missing MITRE ATT&CK Mappings (#2073)
* initial commit with eggshell mitre mapping added

* adding updated rules

* [Rule Tuning] MITRE for GCP rules

I've added Mitre references for the 4 GCP rules missing. Changed 3 of the rules from "Impact" to "Defense Evasion" based on the technique used and it's matched tactic.

* [Rule Tuning] Endgame Rule name updates for Mitre

Updated Endgame rule names for those with Mitre tactics to match the tactics.

* Update rules/integrations/aws/persistence_redshift_instance_creation.toml

Co-authored-by: Jonhnathan <jonhnathancesar@gmail.com>

* Update rules/integrations/aws/exfiltration_rds_snapshot_restored.toml

Co-authored-by: Jonhnathan <jonhnathancesar@gmail.com>

* adding 10 updated rules for google_workspace, ml and o365

* adding 22 rule updates for mitre att&ck mappings

* adding 24 rule updates related mainly to ML rules

* adding 3 rules related to detection via ML

* adding adjustments

* adding adjustments with solutions to recent pytest errors

* removed tabs from tags

* adjusted mappings and added techniques

* adjusted endgame rule mappings per review

* adjusted names to match different tactics

* added execution and defense evasion tag

* adjustments to address errors from merging with main

* added newlines to rules missing them at the end of the file

Co-authored-by: imays11 <59296946+imays11@users.noreply.github.com>
Co-authored-by: Jonhnathan <jonhnathancesar@gmail.com>
2022-07-22 14:30:34 -04:00

48 lines
1.7 KiB
TOML

[metadata]
creation_date = "2021/06/10"
maturity = "production"
updated_date = "2022/07/18"
min_stack_comments = "ML job introduced in 7.14"
min_stack_version = "7.14.0"
[rule]
anomaly_threshold = 75
author = ["Elastic"]
description = """
A machine learning job found an unusual user name in the authentication logs. An unusual user name is one way of
detecting credentialed access by means of a new or dormant user account. An inactive user account (because the user
has left the organization) that becomes active may be due to credentialed access using a compromised account password.
Threat actors will sometimes also create new users as a means of persisting in a compromised web application.
"""
false_positives = [
"""
User accounts that are rarely active, such as a site reliability engineer (SRE) or developer logging into a
production server for troubleshooting, may trigger this alert. Under some conditions, a newly created user account
may briefly trigger this alert while the model is learning.
""",
]
from = "now-30m"
interval = "15m"
license = "Elastic License v2"
machine_learning_job_id = "auth_rare_user"
name = "Rare User Logon"
references = ["https://www.elastic.co/guide/en/security/current/prebuilt-ml-jobs.html"]
risk_score = 21
rule_id = "138c5dd5-838b-446e-b1ac-c995c7f8108a"
severity = "low"
tags = ["Elastic", "Authentication", "Threat Detection", "ML", "Initial Access"]
type = "machine_learning"
[[rule.threat]]
framework = "MITRE ATT&CK"
[[rule.threat.technique]]
id = "T1078"
name = "Valid Accounts"
reference = "https://attack.mitre.org/techniques/T1078/"
[rule.threat.tactic]
id = "TA0001"
name = "Initial Access"
reference = "https://attack.mitre.org/tactics/TA0001/"