Ross Wolf
5fcece8416
Co-Authored-By: Brent Murphy <56412096+bm11100@users.noreply.github.com> Co-Authored-By: Craig Chamberlain <randomuserid@users.noreply.github.com> Co-Authored-By: David French <56409778+threat-punter@users.noreply.github.com> Co-Authored-By: Derek Ditch <dcode@users.noreply.github.com> Co-Authored-By: Justin Ibarra <brokensound77@users.noreply.github.com>
35 lines
1.4 KiB
TOML
35 lines
1.4 KiB
TOML
[metadata]
|
|
creation_date = "2020/03/25"
|
|
ecs_version = ["1.5.0"]
|
|
maturity = "production"
|
|
updated_date = "2020/03/25"
|
|
|
|
[rule]
|
|
anomaly_threshold = 50
|
|
author = ["Elastic"]
|
|
description = """
|
|
Identifies processes started from atypical folders in the file system, which might indicate malware execution or
|
|
persistence mechanisms. In corporate Windows environments, software installation is centrally managed and it is unusual
|
|
for programs to be executed from user or temporary directories. Processes executed from these locations can denote that
|
|
a user downloaded software directly from the Internet or a malicious script or macro executed malware.
|
|
"""
|
|
false_positives = [
|
|
"""
|
|
A new and unusual program or artifact download in the course of software upgrades, debugging, or troubleshooting
|
|
could trigger this signal. Users downloading and running programs from unusual locations, such as temporary
|
|
directories, browser caches, or profile paths could trigger this signal.
|
|
""",
|
|
]
|
|
from = "now-45m"
|
|
interval = "15m"
|
|
license = "Elastic License"
|
|
machine_learning_job_id = "windows_anomalous_path_activity_ecs"
|
|
name = "Unusual Windows Path Activity"
|
|
references = ["https://www.elastic.co/guide/en/siem/guide/current/prebuilt-ml-jobs.html"]
|
|
risk_score = 21
|
|
rule_id = "445a342e-03fb-42d0-8656-0367eb2dead5"
|
|
severity = "low"
|
|
tags = ["Elastic", "ML", "Windows"]
|
|
type = "machine_learning"
|
|
|