name: Common Ransomware Notes
id: ada0f478-84a8-4641-a3f1-d82362d6bd71
version: 15
creation_date: '2019-10-16'
modification_date: '2026-05-13'
author: David Dorsey, Splunk
status: production
type: Hunting
description: |
    The following analytic detects the creation of files with names commonly associated with ransomware notes.
    It leverages file-system activity data from the Endpoint Filesystem data model, typically populated by endpoint detection and response (EDR) tools or Sysmon logs.
    This activity is significant because ransomware notes indicate a potential ransomware attack, which can lead to data encryption and extortion.
    If confirmed malicious, this activity could result in significant data loss, operational disruption, and financial impact due to ransom demands.
    Note that this analytic relies on a lookup table (ransomware_notes_lookup) that contains known ransomware note file names.
    Ensure that this lookup table is regularly updated to include new ransomware note file names as they are identified in the threat landscape.
    Also this analytic leverages a sub-search to enhance performance. sub-searches have limitations on the amount of data they can return. Keep this in mind if you have an extensive list of ransomware note file names.
data_source:
    - Sysmon EventID 11
search: |
    | tstats `security_content_summariesonly`
      count
      min(_time) as firstTime
      max(_time) as lastTime
      values(Filesystem.user) as user
      values(Filesystem.dest) as dest
      values(Filesystem.file_path) as file_path
    from datamodel=Endpoint.Filesystem
    where [
      | inputlookup ransomware_notes_lookup
      | search status=true
      | fields ransomware_notes
      | dedup ransomware_notes
      | rename ransomware_notes as Filesystem.file_name
    ]
    by Filesystem.action Filesystem.dest Filesystem.file_access_time
       Filesystem.file_create_time Filesystem.file_hash
       Filesystem.file_modify_time Filesystem.file_name
       Filesystem.file_path Filesystem.file_acl Filesystem.file_size
       Filesystem.process_guid Filesystem.process_id Filesystem.user
       Filesystem.vendor_product
    | `drop_dm_object_name(Filesystem)`
    | `security_content_ctime(lastTime)`
    | `security_content_ctime(firstTime)`
    | `common_ransomware_notes_filter`
how_to_implement: You must be ingesting data that records file-system activity from your hosts to populate the Endpoint Filesystem data-model node. This is typically populated via endpoint detection-and-response product, such as Carbon Black, or via other endpoint data sources, such as Sysmon. The data used for this search is typically generated via logs that report file-system reads and writes.
known_false_positives: |
    There could be cases where a legitimate file coincidentally matches a known ransomware note
    name. In such cases, further investigation is required to determine the nature of the file and its context.
references: []
analytic_story:
    - Chaos Ransomware
    - Rhysida Ransomware
    - Ransomware
    - LockBit Ransomware
    - Medusa Ransomware
    - SamSam Ransomware
    - Clop Ransomware
    - Ryuk Ransomware
    - Black Basta Ransomware
    - Termite Ransomware
    - Interlock Ransomware
    - NailaoLocker Ransomware
    - Hellcat Ransomware
    - Storm-0501 Ransomware
asset_type: Endpoint
mitre_attack_id:
    - T1485
product:
    - Splunk Enterprise
    - Splunk Enterprise Security
    - Splunk Cloud
category: endpoint
security_domain: endpoint
tests:
    - name: True Positive Test
      attack_data:
        - data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1485/ransomware_notes/windows-sysmon.log
          source: XmlWinEventLog:Microsoft-Windows-Sysmon/Operational
          sourcetype: XmlWinEventLog
      test_type: unit