Detection rules › Splunk

Windows Suspicious File in EFI Volume

Status
production
Severity
medium
Group by
CreationUtcTime, computer_name, event_action, file_name, process_guid, process_id, process_name, target_filename, user, vendor_product
Author
Raven Tait, Splunk
Source
github.com/splunk/security_content

Detects data files in the EFI volume. This is sometimes indicative of an actor attempting to bypass secure boot through vulnerabilities such as CVE-2024-7344. These use vulnerable boot loaders to run malicious system firmware code.

MITRE ATT&CK coverage

Event coverage

ProviderEventTitle
SysmonEvent ID 11FileCreate

Rule body splunk

name: Windows Suspicious File in EFI Volume
id: 4000d728-faaf-44d4-969b-12216f2879e1
version: 2
creation_date: '2026-05-05'
modification_date: '2026-05-13'
author: Raven Tait, Splunk
status: production
type: TTP
description: |-
    Detects data files in the EFI volume.
    This is sometimes indicative of an actor attempting to bypass secure boot through vulnerabilities such as CVE-2024-7344.
    These use vulnerable boot loaders to run malicious system firmware code.
data_source:
    - Sysmon EventID 11
search: |-
    | tstats `security_content_summariesonly`
      count min(_time) as firstTime
            max(_time) as lastTime
    
    from datamodel=Endpoint.Filesystem where
    
    Filesystem.file_path="*\\EFI\\Boot\\*"
    Filesystem.file_path="*.dat"
    
    by Filesystem.dest Filesystem.file_create_time Filesystem.process_path
       Filesystem.process_guid Filesystem.process_id Filesystem.file_path Filesystem.file_name
       Filesystem.action Filesystem.user Filesystem.vendor_product
    
    | `drop_dm_object_name(Filesystem)`
    | `security_content_ctime(firstTime)`
    | `security_content_ctime(lastTime)`
    | `windows_suspicious_file_in_efi_volume_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: Some legitimate system or firmware update processes may create or modify files in the EFI volume. Review alerts carefully to distinguish between normal maintenance and suspicious activity.
references:
    - https://www.welivesecurity.com/en/eset-research/under-cloak-uefi-secure-boot-introducing-cve-2024-7344/
    - https://www.bleepingcomputer.com/news/security/new-hybridpetya-ransomware-can-bypass-uefi-secure-boot/
drilldown_searches:
    - earliest_offset: $info_min_time$
      latest_offset: $info_max_time$
      name: View the detection results for - "$user$" and "$dest$"
      search: '%original_detection_search% | search  user = "$user$" dest = "$dest$"'
    - name: View risk events for the last 7 days for - "$user$" and "$dest$"
      search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$user$", "$dest$") | 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: 7d
      latest_offset: "0"
finding:
    title: Suspicious EFI volume data file created at $file_path$ on $dest$.
    entity:
        field: dest
        type: system
        score: 50
threat_objects:
    - field: file_path
      type: file_path
analytic_story:
    - BlackLotus Campaign
    - Windows BootKits
    - Sandworm Tools
asset_type: Endpoint
mitre_attack_id:
    - T1542.001
    - T1490
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/T1542.001/snapattack/snapattack.log
          source: XmlWinEventLog:Microsoft-Windows-Sysmon/Operational
          sourcetype: XmlWinEventLog
      test_type: unit

Stages and Predicates

Stage 1: tstats

| tstats `security_content_summariesonly`
  count min(_time) as firstTime
        max(_time) as lastTime

from datamodel=Endpoint.Filesystem where

Filesystem.file_path="*\\EFI\\Boot\\*"
Filesystem.file_path="*.dat"

by Filesystem.dest Filesystem.file_create_time Filesystem.process_path
   Filesystem.process_guid Filesystem.process_id Filesystem.file_path Filesystem.file_name
   Filesystem.action Filesystem.user Filesystem.vendor_product

Stage 2: search

| `drop_dm_object_name(Filesystem)`

Stage 3: search

| `security_content_ctime(firstTime)`

Stage 4: search

| `security_content_ctime(lastTime)`

Stage 5: search

| `windows_suspicious_file_in_efi_volume_filter`

Indicators

Each row is a field, operator, and value that the rule matches. The corpus column counts how many other rules in the catalog look for the same combination: high numbers point to widely-used, community-vetted indicators. Blank or 1 shows that the indicator is specific to this rule.

FieldKindValues
Filesystem.file_patheq
  • "*.dat" corpus 4 (sigma 3, splunk 1)
  • "*\\EFI\\Boot\\*"