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P4T12ICK
48 lines
2.0 KiB
YAML
48 lines
2.0 KiB
YAML
name: Suspicious File Write
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id: 57f76b8a-32f0-42ed-b358-d9fa3ca7bac8
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version: 3
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date: '2019-04-25'
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author: Rico Valdez, Splunk
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type: batch
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datamodel: []
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description: The search looks for files created with names that have been linked to
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malicious activity.
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search: '| tstats `security_content_summariesonly` count values(Filesystem.action)
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as action values(Filesystem.file_path) as file_path min(_time) as firstTime max(_time)
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as lastTime FROM datamodel=Endpoint.Filesystem by Filesystem.file_name Filesystem.dest
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| `security_content_ctime(lastTime)` | `security_content_ctime(firstTime)` | `drop_dm_object_name(Filesystem)`
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| `suspicious_writes` | `suspicious_file_write_filter`'
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how_to_implement: You must be ingesting data that records the filesystem activity
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from your hosts to populate the Endpoint file-system data model node. This is typically
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populated via endpoint detection-and-response product, such as Carbon Black, or
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via other endpoint data sources, such as Sysmon. The data used for this search is
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typically generated via logs that report file system reads and writes. In addition,
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this search leverages an included lookup file that contains the names of the files
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to watch for, as well as a note to communicate why that file name is being monitored.
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This lookup file can be edited to add or remove file the file names you want to
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monitor.
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known_false_positives: It's possible for a legitimate file to be created with the
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same name as one noted in the lookup file. Filenames listed in the lookup file should
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be unique enough that collisions are rare. Looking at the location of the file and
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the process responsible for the activity can help determine whether or not the activity
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is legitimate.
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references: []
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tags:
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analytic_story:
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- Hidden Cobra Malware
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asset_type: Endpoint
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cis20:
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- CIS 8
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kill_chain_phases:
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- Actions on Objectives
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nist:
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- PR.PT
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- DE.CM
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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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security_domain: endpoint
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