Files
sigma-rules/rules/ml/ml_rare_process_by_host_linux.toml
T
Ross Wolf 5fcece8416 Populate rules/ directory.
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>
2020-06-29 22:57:03 -06:00

38 lines
1.8 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 rare processes that do not usually run on individual hosts, which can indicate execution of unauthorized
services, malware, or persistence mechanisms. Processes are considered rare when they only run occasionally as compared
with other processes running on the host.
"""
false_positives = [
"""
A newly installed program or one that runs rarely as part of a monthly or quarterly workflow could trigger this
signal.
""",
]
from = "now-45m"
interval = "15m"
license = "Elastic License"
machine_learning_job_id = "rare_process_by_host_linux_ecs"
name = "Unusual Process For a Linux Host"
note = """### Investigating an Unusual Linux Process ###
Signals from this rule indicate the presence of a Linux process that is rare and unusual for the host it ran on. Here are some possible avenues of investigation:
- Consider the user as identified by the username field. Is this program part of an expected workflow for the user who ran this program on this host?
- Examine the history of execution. If this process manifested only very recently, it might be part of a new software package. If it has a consistent cadence - for example if it runs monthly or quarterly - it might be part of a monthly or quarterly business process.
- Examine the process arguments, title and working directory. These may provide indications as to the source of the program or the nature of the tasks it is performing."""
references = ["https://www.elastic.co/guide/en/siem/guide/current/prebuilt-ml-jobs.html"]
risk_score = 21
rule_id = "46f804f5-b289-43d6-a881-9387cf594f75"
severity = "low"
tags = ["Elastic", "Linux", "ML"]
type = "machine_learning"