mirror of
https://github.com/splunk/security_content
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Michael Haag
78 lines
4.0 KiB
YAML
78 lines
4.0 KiB
YAML
name: Linux Medusa Rootkit
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id: 7add8520-71d5-43aa-b262-ee082b1f0238
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version: 2
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date: '2025-10-14'
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author: Raven Tait, Splunk
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status: production
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type: TTP
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description: This detection identifies file creation events associated with the installation of the Medusa
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rootkit, a userland LD_PRELOAD-based rootkit known for deploying shared objects, loader binaries, and
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configuration files into specific system directories. These files typically facilitate process hiding,
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credential theft, and backdoor access. Monitoring for such file creation patterns enables early
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detection of rootkit deployment before full compromise.
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data_source:
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- Sysmon for Linux EventID 11
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search: '| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time)
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as lastTime FROM datamodel=Endpoint.Filesystem where Filesystem.file_path IN ("*/lib/libseconf",
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"*.backup_ld.so", "*.boot.sh", "*.logpam", "*sshpass.txt", "*sshpass2.txt", "*/lib/libdsx.so",
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"*rkload", "*/lib/libseconf/local.txt", "*/lib/locate/local.txt", "*/var/log/remote.txt",
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"*/lib/libseconf/.pts", "*/lib/locate /.pts", "*/libseconf/.ports")
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by Filesystem.action Filesystem.dest Filesystem.file_access_time Filesystem.file_create_time
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Filesystem.file_hash Filesystem.file_modify_time Filesystem.file_name Filesystem.file_path
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Filesystem.file_acl Filesystem.file_size Filesystem.process_guid Filesystem.process_id
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Filesystem.user Filesystem.vendor_product | `drop_dm_object_name(Filesystem)` |
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`security_content_ctime(lastTime)` | `security_content_ctime(firstTime)` | `linux_medusa_rootkit_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: Little to no false positives in most environments. Tune as needed.
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references:
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- https://cloud.google.com/blog/topics/threat-intelligence/uncovering-unc3886-espionage-operations
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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: Medusa rootkit files were identified on endpoint $dest$.
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risk_objects:
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- field: dest
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type: system
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score: 62
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threat_objects: []
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tags:
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analytic_story:
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- China-Nexus Threat Activity
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- Medusa Rootkit
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- Hellcat Ransomware
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asset_type: Endpoint
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mitre_attack_id:
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- T1014
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- T1589.001
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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: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1014/medusa_rootkit/sysmon_linux.log
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source: Syslog:Linux-Sysmon/Operational
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sourcetype: sysmon:linux
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