Bobby Filar
9a739b7e4c
* modifying rules assoc w/ deprecation of v2 ML jobs * modified updated_date field * fixed machine_learning_job_id and added min_stack_version * replacing rest of deprecated jobs with new naming convention * Update ml_suspicious_login_activity.toml * removing rules assoc w/ deprecated ML jobs * Update rules/ml/ml_linux_anomalous_compiler_activity.toml Co-authored-by: Justin Ibarra <brokensound77@users.noreply.github.com> * Update rules/ml/ml_linux_anomalous_compiler_activity.toml Co-authored-by: Justin Ibarra <brokensound77@users.noreply.github.com> * updated ml job rules to reflect 8.3 changes * updating min_stack_version for ml detection rules Co-authored-by: Craig Chamberlain <randomuserid@users.noreply.github.com> Co-authored-by: Justin Ibarra <brokensound77@users.noreply.github.com> Co-authored-by: Apoorva Joshi <30438249+ajosh0504@users.noreply.github.com>
41 lines
1.9 KiB
TOML
41 lines
1.9 KiB
TOML
[metadata]
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creation_date = "2020/03/25"
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maturity = "production"
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updated_date = "2022/05/12"
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min_stack_comments = "Supports latest version of ML job introduced in 8.3"
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min_stack_version = "8.3.0"
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[rule]
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anomaly_threshold = 50
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author = ["Elastic"]
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description = """
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Identifies rare processes that do not usually run on individual hosts, which can indicate execution of unauthorized
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services, malware, or persistence mechanisms. Processes are considered rare when they only run occasionally as compared
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with other processes running on the host.
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"""
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false_positives = [
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"""
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A newly installed program or one that runs rarely as part of a monthly or quarterly workflow could trigger this
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alert.
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""",
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]
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from = "now-45m"
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interval = "15m"
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license = "Elastic License v2"
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machine_learning_job_id = ["v3_rare_process_by_host_linux"]
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name = "Unusual Process For a Linux Host"
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note = """## Triage and analysis
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### Investigating an Unusual Linux Process
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Detection alerts 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:
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- 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?
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- Examine the history of execution. If this process only manifested 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.
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- 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."""
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references = ["https://www.elastic.co/guide/en/security/current/prebuilt-ml-jobs.html"]
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risk_score = 21
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rule_id = "46f804f5-b289-43d6-a881-9387cf594f75"
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severity = "low"
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tags = ["Elastic", "Host", "Linux", "Threat Detection", "ML"]
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type = "machine_learning"
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