Files
sigma-rules/rules/ml/persistence_ml_windows_anomalous_process_creation.toml
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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
1.9 KiB
TOML

[metadata]
creation_date = "2020/03/25"
maturity = "production"
updated_date = "2022/07/18"
min_stack_comments = "Supports latest version of ML job introduced in 8.3"
min_stack_version = "8.3.0"
[rule]
anomaly_threshold = 50
author = ["Elastic"]
description = """
Identifies unusual parent-child process relationships that can indicate malware execution or persistence mechanisms.
Malicious scripts often call on other applications and processes as part of their exploit payload. For example, when a
malicious Office document runs scripts as part of an exploit payload, Excel or Word may start a script interpreter
process, which, in turn, runs a script that downloads and executes malware. Another common scenario is Outlook running
an unusual process when malware is downloaded in an email. Monitoring and identifying anomalous process relationships is
a method of detecting new and emerging malware that is not yet recognized by anti-virus scanners.
"""
false_positives = [
"""
Users running scripts in the course of technical support operations of software upgrades could trigger this alert. A
newly installed program or one that runs rarely as part of a monthly or quarterly workflow could trigger this alert.
""",
]
from = "now-45m"
interval = "15m"
license = "Elastic License v2"
machine_learning_job_id = ["v3_windows_anomalous_process_creation"]
name = "Anomalous Windows Process Creation"
references = ["https://www.elastic.co/guide/en/security/current/prebuilt-ml-jobs.html"]
risk_score = 21
rule_id = "0b29cab4-dbbd-4a3f-9e8e-1287c7c11ae5"
severity = "low"
tags = ["Elastic", "Host", "Windows", "Threat Detection", "ML", "Persistence"]
type = "machine_learning"
[[rule.threat]]
framework = "MITRE ATT&CK"
[[rule.threat.technique]]
id = "T1543"
name = "Create or Modify System Process"
reference = "https://attack.mitre.org/techniques/T1543/"
[rule.threat.tactic]
id = "TA0003"
name = "Persistence"
reference = "https://attack.mitre.org/tactics/TA0003/"