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splunk-security_content/detections/endpoint/linux_dd_file_overwrite.yml

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YAML

name: Linux DD File Overwrite
id: 9b6aae5e-8d85-11ec-b2ae-acde48001122
version: 6
date: '2025-05-02'
author: Teoderick Contreras, Splunk
status: production
type: TTP
description: The following analytic detects the use of the 'dd' command to overwrite
files on a Linux system. It leverages data from Endpoint Detection and Response
(EDR) agents, focusing on process execution logs that include command-line details.
This activity is significant because adversaries often use the 'dd' command to destroy
or irreversibly overwrite files, disrupting system availability and services. If
confirmed malicious, this behavior could lead to data destruction, making recovery
difficult and potentially causing significant operational disruptions.
data_source:
- Sysmon for Linux EventID 1
search: '| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time)
as lastTime from datamodel=Endpoint.Processes where Processes.process_name = "dd"
AND Processes.process = "*of=*" by Processes.action Processes.dest Processes.original_file_name
Processes.parent_process Processes.parent_process_exec Processes.parent_process_guid
Processes.parent_process_id Processes.parent_process_name Processes.parent_process_path
Processes.process Processes.process_exec Processes.process_guid Processes.process_hash
Processes.process_id Processes.process_integrity_level Processes.process_name Processes.process_path
Processes.user Processes.user_id Processes.vendor_product | `drop_dm_object_name(Processes)`
| `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)` | `linux_dd_file_overwrite_filter`'
how_to_implement: The detection is based on data that originates from Endpoint Detection
and Response (EDR) agents. These agents are designed to provide security-related
telemetry from the endpoints where the agent is installed. To implement this search,
you must ingest logs that contain the process GUID, process name, and parent process.
Additionally, you must ingest complete command-line executions. These logs must
be processed using the appropriate Splunk Technology Add-ons that are specific to
the EDR product. The logs must also be mapped to the `Processes` node of the `Endpoint`
data model. Use the Splunk Common Information Model (CIM) to normalize the field
names and speed up the data modeling process.
known_false_positives: Administrator or network operator can execute this command.
Please update the filter macros to remove false positives.
references:
- https://gtfobins.github.io/gtfobins/dd/
- https://github.com/redcanaryco/atomic-red-team/blob/master/atomics/T1485/T1485.md
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: $info_max_time$
rba:
message: A commandline $process$ executed on $dest$
risk_objects:
- field: dest
type: system
score: 64
threat_objects: []
tags:
analytic_story:
- Data Destruction
- Industroyer2
asset_type: Endpoint
mitre_attack_id:
- T1485
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
security_domain: endpoint
tests:
- name: True Positive Test
attack_data:
- data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1485/linux_dd_file_overwrite/sysmon_linux.log
source: Syslog:Linux-Sysmon/Operational
sourcetype: sysmon:linux