mirror of
https://github.com/splunk/security_content
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Bhavin Patel
87 lines
3.5 KiB
YAML
87 lines
3.5 KiB
YAML
name: Linux Clipboard Data Copy
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id: 7173b2ad-6146-418f-85ae-c3479e4515fc
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version: 2
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date: '2024-05-17'
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author: Michael Haag, Splunk
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status: production
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type: Anomaly
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description: The following analytic detects the use of the Linux 'xclip' command to
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copy data from the clipboard. It leverages Endpoint Detection and Response (EDR)
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telemetry, focusing on process names and command-line arguments related to clipboard
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operations. This activity is significant because adversaries can exploit clipboard
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data to capture sensitive information such as passwords or IP addresses. If confirmed
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malicious, this technique could lead to unauthorized data exfiltration, compromising
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sensitive information and potentially aiding further attacks 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 min(_time) as firstTime max(_time)
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as lastTime from datamodel=Endpoint.Processes where Processes.process_name=xclip
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Processes.process IN ("*-o *", "*-sel *", "*-selection *", "*clip *","*clipboard*")
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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 | `drop_dm_object_name(Processes)`
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| `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)` | `linux_clipboard_data_copy_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: False positives may be present on Linux desktop as it may commonly
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be used by administrators or end users. Filter as needed.
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references:
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- https://attack.mitre.org/techniques/T1115/
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- https://linux.die.net/man/1/xclip
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tags:
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analytic_story:
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- Linux Living Off The Land
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asset_type: Endpoint
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confidence: 40
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impact: 40
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message: An instance of $process_name$ was identified on endpoint $dest$ by user
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$user$ adding or removing content from the clipboard.
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mitre_attack_id:
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- T1115
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observable:
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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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- name: dest
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type: Hostname
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role:
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- Victim
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- name: process_name
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type: Process
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role:
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- Child Process
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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.parent_process
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- Processes.original_file_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_path
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- Processes.process_path
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- Processes.parent_process_id
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risk_score: 16
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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/T1115/atomic_red_team/linux-sysmon.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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