mirror of
https://github.com/splunk/security_content
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pyth0n1c
80 lines
4.0 KiB
YAML
80 lines
4.0 KiB
YAML
name: Linux System Network Discovery
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id: 535cb214-8b47-11ec-a2c7-acde48001122
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version: 4
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date: '2024-11-13'
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author: Teoderick Contreras, Splunk
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status: production
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type: Anomaly
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description: The following analytic identifies potential enumeration of local network
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configuration on Linux systems. It detects this activity by monitoring processes
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such as "arp," "ifconfig," "ip," "netstat," "firewall-cmd," "ufw," "iptables," "ss,"
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and "route" within a 30-minute window. This behavior is significant as it often
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indicates reconnaissance efforts by adversaries to gather network information for
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subsequent attacks. If confirmed malicious, this activity could enable attackers
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to map the network, identify vulnerabilities, and plan further exploitation or lateral
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movement within the environment.
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data_source:
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- Sysmon for Linux EventID 1
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search: '| tstats `security_content_summariesonly` count values(Processes.process_name)
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as process_name_list values(Processes.process) as process_list values(Processes.process_id)
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as process_id_list values(Processes.parent_process_id) as parent_process_id_list
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values(Processes.process_guid) as process_guid_list dc(Processes.process_name) as
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process_name_count from datamodel=Endpoint.Processes where Processes.process_name
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IN ("arp", "ifconfig", "ip", "netstat", "firewall-cmd", "ufw", "iptables", "ss",
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"route") by _time span=30m Processes.dest Processes.user | where process_name_count
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>=4 | `drop_dm_object_name(Processes)`| `linux_system_network_discovery_filter`'
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how_to_implement: The detection is based on data that originates from Endpoint Detection
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and Response (EDR) agents. These agents are designed to provide security-related
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telemetry from the endpoints where the agent is installed. To implement this search,
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you must ingest logs that contain the process GUID, process name, and parent process.
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Additionally, you must ingest complete command-line executions. These logs must
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be processed using the appropriate Splunk Technology Add-ons that are specific to
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the EDR product. The logs must also be mapped to the `Processes` node of the `Endpoint`
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data model. Use the Splunk Common Information Model (CIM) to normalize the field
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names and speed up the data modeling process.
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known_false_positives: Administrator or network operator can execute this command.
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Please update the filter macros to remove false positives.
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references:
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- https://github.com/redcanaryco/atomic-red-team/blob/master/atomics/T1016/T1016.md
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drilldown_searches:
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- name: View the detection results for - "$dest$"
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search: '%original_detection_search% | search dest = "$dest$"'
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earliest_offset: $info_min_time$
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latest_offset: $info_max_time$
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- name: View risk events for the last 7 days for - "$dest$"
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search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$dest$")
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starthoursago=168 | stats count min(_time) as firstTime max(_time) as lastTime
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values(search_name) as "Search Name" values(risk_message) as "Risk Message" values(analyticstories)
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as "Analytic Stories" values(annotations._all) as "Annotations" values(annotations.mitre_attack.mitre_tactic)
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as "ATT&CK Tactics" by normalized_risk_object | `security_content_ctime(firstTime)`
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| `security_content_ctime(lastTime)`'
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earliest_offset: $info_min_time$
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latest_offset: $info_max_time$
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rba:
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message: Network discovery process $process_name_list$ executed on $dest$
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risk_objects:
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- field: dest
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type: system
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score: 9
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threat_objects: []
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tags:
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analytic_story:
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- Data Destruction
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- Network Discovery
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- Industroyer2
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asset_type: Endpoint
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mitre_attack_id:
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- T1016
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product:
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- Splunk Enterprise
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- Splunk Enterprise Security
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- Splunk Cloud
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security_domain: endpoint
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tests:
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- name: True Positive Test
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attack_data:
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- data:
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https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1016/atomic_red_team/linux_net_discovery/sysmon_linux.log
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source: Syslog:Linux-Sysmon/Operational
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sourcetype: sysmon:linux
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