mirror of
https://github.com/splunk/security_content
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Bhavin Patel
80 lines
3.3 KiB
YAML
80 lines
3.3 KiB
YAML
name: Linux Data Destruction Command
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id: b11d3979-b2f7-411b-bb1a-bd00e642173b
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version: 2
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date: '2024-05-27'
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author: Teoderick Contreras, Splunk
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status: production
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type: TTP
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description: The following analytic detects the execution of a Unix shell command
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designed to wipe root directories on a Linux host. It leverages data from Endpoint
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Detection and Response (EDR) agents, focusing on the 'rm' command with force recursive
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deletion and the '--no-preserve-root' option. This activity is significant as it
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indicates potential data destruction attempts, often associated with malware like
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Awfulshred. If confirmed malicious, this behavior could lead to severe data loss,
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system instability, and compromised integrity of the affected Linux host. Immediate
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investigation and response are crucial to mitigate potential damage.
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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 min(_time) as firstTime max(_time)
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as lastTime from datamodel=Endpoint.Processes where Processes.process_name = "rm" AND
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Processes.process IN ("* -rf*", "* -fr*") AND Processes.process = "* --no-preserve-root"
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by Processes.dest Processes.user Processes.parent_process_name Processes.process_name
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Processes.process Processes.process_id Processes.parent_process_id Processes.process_guid
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| `drop_dm_object_name(Processes)` | `security_content_ctime(firstTime)` | `linux_data_destruction_command_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: unknown
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references:
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- https://cert.gov.ua/article/3718487
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- https://www.trustwave.com/en-us/resources/blogs/spiderlabs-blog/overview-of-the-cyber-weapons-used-in-the-ukraine-russia-war/
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tags:
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analytic_story:
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- AwfulShred
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- Data Destruction
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asset_type: Endpoint
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confidence: 90
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impact: 100
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message: a $process_name$ execute rm command with --no-preserve-root parmeter that
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can wipe root files in $dest$
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mitre_attack_id:
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- T1485
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observable:
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- name: dest
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type: Hostname
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role:
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- Victim
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- name: user
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type: User
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role:
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- Victim
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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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required_fields:
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- _time
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- Processes.dest
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- Processes.user
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- Processes.parent_process_name
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- Processes.process_name
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- Processes.process
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- Processes.process_id
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- Processes.parent_process_id
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risk_score: 90
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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/malware/awfulshred/test1/sysmon_linux.log
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source: Syslog:Linux-Sysmon/Operational
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sourcetype: sysmon:linux
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update_timestamp: true
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