Detection rules › Splunk

Windows Alternate DataStream - Executable Content

Status
production
Severity
medium
Group by
Contents, dest, dvc, file_hash, file_name, process_guid, process_id, process_name, signature, signature_id, target_filename, user_id, vendor_product
Author
Steven Dick, Teoderick Contreras, Splunk
Source
github.com/splunk/security_content

The following analytic detects the writing of data with an IMPHASH value to an Alternate Data Stream (ADS) in the NTFS file system. It leverages Sysmon Event ID 15 and regex to identify files with a Portable Executable (PE) structure. This activity is significant as it may indicate a threat actor staging malicious code in hidden areas for persistence or future execution. If confirmed malicious, this could allow attackers to execute hidden code, maintain persistence, or escalate privileges within the environment.

MITRE ATT&CK coverage

Event coverage

ProviderEventTitle
SysmonEvent ID 15FileCreateStreamHash

Rule body splunk

name: Windows Alternate DataStream - Executable Content
id: a258bf2a-34fd-4986-8086-78f506e00206
version: 13
creation_date: '2024-01-10'
modification_date: '2026-05-13'
author: Steven Dick, Teoderick Contreras, Splunk
status: production
type: TTP
description: The following analytic detects the writing of data with an IMPHASH value to an Alternate Data Stream (ADS) in the NTFS file system. It leverages Sysmon Event ID 15 and regex to identify files with a Portable Executable (PE) structure. This activity is significant as it may indicate a threat actor staging malicious code in hidden areas for persistence or future execution. If confirmed malicious, this could allow attackers to execute hidden code, maintain persistence, or escalate privileges within the environment.
data_source:
    - Sysmon EventID 15
search: '`sysmon` EventCode=15 IMPHASH!=00000000000000000000000000000000 | regex TargetFilename="(?<!\/)\b\w+(\.\w+)?:\w+(\.\w+)?$" | eval file_name = replace(TargetFilename,"(.*\\\)",""), process = Image , file_path = TargetFilename, file_hash = coalesce(SHA256,SHA1,MD5,Hash) | stats count min(_time) as firstTime max(_time) as lastTime by dest dvc file_hash file_name file_path process_exec process_guid process_id process_name process_path signature signature_id user_id vendor_product Contents Image | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)` | `windows_alternate_datastream___executable_content_filter`'
how_to_implement: Target environment must ingest Sysmon data, specifically Event ID 15, and import hashing/imphash must be enabled within Sysmon.
known_false_positives: No false positives have been identified at this time.
references:
    - https://car.mitre.org/analytics/CAR-2020-08-001/
    - https://blogs.juniper.net/en-us/threat-research/bitpaymer-ransomware-hides-behind-windows-alternate-data-streams
    - https://twitter.com/0xrawsec/status/1002478725605273600?s=21
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 ("$dest$") | 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: Base64 content written to an NTFS alternate data stream in $dest$, see command field for details.
    entity:
        field: dest
        type: system
        score: 50
threat_objects:
    - field: file_hash
      type: file_hash
    - field: file_name
      type: file_name
analytic_story:
    - Windows Defense Evasion Tactics
asset_type: Endpoint
mitre_attack_id:
    - T1564.004
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/T1564.004/ads_abuse/ads_abuse_sysmon.log
          source: XmlWinEventLog:Microsoft-Windows-Sysmon/Operational
          sourcetype: XmlWinEventLog
      test_type: unit

Stages and Predicates

Stage 1: search

`sysmon` EventCode=15 IMPHASH!=00000000000000000000000000000000

Stage 2: regex

| regex TargetFilename="(?<!\/)\b\w+(\.\w+)?:\w+(\.\w+)?$"

Stage 3: eval

| eval file_name = replace(TargetFilename,"(.*\\\)",""), process = Image , file_path = TargetFilename, file_hash = coalesce(SHA256,SHA1,MD5,Hash)

Stage 4: stats

| stats count min(_time) as firstTime max(_time) as lastTime by dest dvc file_hash file_name file_path process_exec process_guid process_id process_name process_path signature signature_id user_id vendor_product Contents Image

Stage 5: search

| `security_content_ctime(firstTime)`

Stage 6: search

| `security_content_ctime(lastTime)`

Stage 7: search

| `windows_alternate_datastream___executable_content_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
EventCodeeq
  • 15 corpus 4 (splunk 4)
IMPHASHne
  • 00000000000000000000000000000000
TargetFilenameregex_match
  • "(?<!\/)\b\w+(.\w+)?:\w+(.\w+)?$" corpus 2 (splunk 2)