Files
sigma-rules/rules/ml/ml_linux_anomalous_network_url_activity.toml
T
Justin Ibarra 97ee8cc9ac Refresh beats and ecs schemas and default to use latest to validate (#570)
* Refresh beats and ecs schemas and default to use latest to validate
* remove incorrect ecs_version from zoom rule
* remove stale ecs_version from rules
2020-12-01 13:24:20 -09:00

34 lines
1.3 KiB
TOML

[metadata]
creation_date = "2020/03/25"
maturity = "production"
updated_date = "2020/10/26"
[rule]
anomaly_threshold = 50
author = ["Elastic"]
description = """
A machine learning job detected an unusual web URL request from a Linux host, which can indicate malware delivery and
execution. Wget and cURL are commonly used by Linux programs to download code and data. Most of the time, their usage is
entirely normal. Generally, because they use a list of URLs, they repeatedly download from the same locations. However,
Wget and cURL are sometimes used to deliver Linux exploit payloads, and threat actors use these tools to download
additional software and code. For these reasons, unusual URLs can indicate unauthorized downloads or threat activity.
"""
false_positives = [
"""
A new and unusual program or artifact download in the course of software upgrades, debugging, or troubleshooting
could trigger this alert.
""",
]
from = "now-45m"
interval = "15m"
license = "Elastic License"
machine_learning_job_id = "linux_anomalous_network_url_activity_ecs"
name = "Unusual Linux Web Activity"
references = ["https://www.elastic.co/guide/en/security/current/prebuilt-ml-jobs.html"]
risk_score = 21
rule_id = "52afbdc5-db15-485e-bc35-f5707f820c4c"
severity = "low"
tags = ["Elastic", "Host", "Linux", "Threat Detection", "ML"]
type = "machine_learning"