Linux Auditd Clipboard Data Copy

Original Source: [splunk source]
Name:Linux Auditd Clipboard Data Copy
id:9ddfe470-c4d0-4e60-8668-7337bd699edd
version:2
date:2024-09-30
author:Teoderick Contreras, Splunk
status:production
type:Anomaly
Description:The following analytic detects the use of the Linux 'xclip' command to copy data from the clipboard. It leverages Linux Auditd telemetry, focusing on process names and command-line arguments related to clipboard operations. This activity is significant because adversaries can exploit clipboard data to capture sensitive information such as passwords or IP addresses. If confirmed malicious, this technique could lead to unauthorized data exfiltration, compromising sensitive information and potentially aiding further attacks within the environment.
Data_source:
  • -Linux Auditd Execve
search:`linux_auditd` `linux_auditd_normalized_execve_process`
| rename host as dest
| where LIKE(process_exec, "%xclip%") AND (LIKE(process_exec, "%clipboard%") OR LIKE(process_exec, "%-o%") OR LIKE(process_exec, "%clip %") OR LIKE(process_exec, "%-selection %") OR LIKE(process_exec, "%sel %"))
| stats count min(_time) as firstTime max(_time) as lastTime by argc process_exec dest
| `security_content_ctime(firstTime)`| `security_content_ctime(lastTime)`| `linux_auditd_clipboard_data_copy_filter`


how_to_implement:To implement this detection, the process begins by ingesting auditd data, that consist SYSCALL, TYPE, EXECVE and PROCTITLE events, which captures command-line executions and process details on Unix/Linux systems. These logs should be ingested and processed using Splunk Add-on for Unix and Linux (https://splunkbase.splunk.com/app/833), which is essential for correctly parsing and categorizing the data. The next step involves normalizing the field names to match the field names set by the Splunk Common Information Model (CIM) to ensure consistency across different data sources and enhance the efficiency of data modeling. This approach enables effective monitoring and detection of linux endpoints where auditd is deployed
known_false_positives:False positives may be present on Linux desktop as it may commonly be used by administrators or end users. Filter as needed.
References:
  -https://attack.mitre.org/techniques/T1115/
  -https://linux.die.net/man/1/xclip
drilldown_searches:
name:'View the detection results for - "$dest$"'
search:'%original_detection_search% | search dest = "$dest$"'
earliest_offset:'$info_min_time$'
latest_offset:'$info_max_time$'
name:'View risk events for the last 7 days for - "$dest$"'
search:'| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$dest$") starthoursago=168 | stats count min(_time) as firstTime max(_time) as lastTime values(search_name) as "Search Name" values(risk_message) as "Risk Message" values(analyticstories) as "Analytic Stories" values(annotations._all) as "Annotations" values(annotations.mitre_attack.mitre_tactic) as "ATT&CK Tactics" by normalized_risk_object | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`'
earliest_offset:'$info_min_time$'
latest_offset:'$info_max_time$'
tags:
  analytic_story:
    - 'Linux Living Off The Land'
    - 'Compromised Linux Host'
  asset_type:Endpoint
  confidence:40
  impact:40
  message:A [$process_exec$] event occurred on host - [$dest$] to copy data from the clipboard.
  mitre_attack_id:
    - 'T1115'
  observable:
    name:'dest'
    type:'Endpoint'
    - role:
      - 'Victim'
  product:
    - 'Splunk Enterprise'
    - 'Splunk Enterprise Security'
    - 'Splunk Cloud'
  required_fields:
    - '_time'
    - 'argc'
    - 'process_exec'
  risk_score:16
  security_domain:endpoint

tests:
name:'True Positive Test'
 attack_data:
  data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1115/linux_auditd_xclip/linux_auditd_xclip.log
  source: /var/log/audit/audit.log
  sourcetype: linux:audit
  update_timestamp: True
manual_test:None