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https://github.com/splunk/security_content
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ljstella
85 lines
3.9 KiB
YAML
85 lines
3.9 KiB
YAML
name: Linux Auditd Data Destruction Command
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id: 4da5ce1a-f71b-4e71-bb73-c0a3c73f3c3c
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version: 3
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date: '2024-11-13'
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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 Linux
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Auditd, focusing on the 'rm' command with force recursive deletion and the '--no-preserve-root'
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option. This activity is significant as it indicates potential data destruction
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attempts, often associated with malware like Awfulshred. If confirmed malicious,
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this behavior could lead to severe data loss, system instability, and compromised
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integrity of the affected Linux host. Immediate investigation and response are crucial
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to mitigate potential damage.
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data_source:
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- Linux Auditd Execve
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search: '`linux_auditd` `linux_auditd_normalized_execve_process` | rename host as
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dest | where LIKE (process_exec, "%rm %") AND LIKE (process_exec, "% -rf %") AND
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LIKE (process_exec, "%--no-preserve-root%") | stats count min(_time) as firstTime
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max(_time) as lastTime by argc process_exec dest | `security_content_ctime(firstTime)`
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| `security_content_ctime(lastTime)`| `linux_auditd_data_destruction_command_filter`'
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how_to_implement: To implement this detection, the process begins by ingesting auditd
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data, that consist SYSCALL, TYPE, EXECVE and PROCTITLE events, which captures command-line
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executions and process details on Unix/Linux systems. These logs should be ingested
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and processed using Splunk Add-on for Unix and Linux (https://splunkbase.splunk.com/app/833),
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which is essential for correctly parsing and categorizing the data. The next step
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involves normalizing the field names to match the field names set by the Splunk
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Common Information Model (CIM) to ensure consistency across different data sources
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and enhance the efficiency of data modeling. This approach enables effective monitoring
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and detection of linux endpoints where auditd is deployed
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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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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: A [$process_exec$] event occurred on host - [$dest$] to destroy data.
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risk_objects:
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- field: dest
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type: Endpoint
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risk_score: 90.0
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threat_objects: []
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tags:
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analytic_story:
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- Data Destruction
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- AwfulShred
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- Compromised Linux Host
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asset_type: Endpoint
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confidence: 90
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impact: 100
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mitre_attack_id:
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- T1485
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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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- argc
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- process_exec
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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/attack_techniques/T1485/linux_auditd_no_preserve_root/linux_auditd_no_preserve_root.log
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source: /var/log/audit/audit.log
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sourcetype: linux:audit
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update_timestamp: true
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