Shai-Hulud 2 Exfiltration Artifact Files


Description

Detects creation of exfiltration artifact files associated with Shai-Hulud 2.0 npm supply chain malware. The malware creates cloud.json, contents.json, environment.json, truffleSecrets.json, and actionsSecrets.json files containing harvested credentials from AWS, Azure, GCP, GitHub secrets, and environment variables. These files are staged before being pushed to attacker-controlled repositories.

Query · spl

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

from datamodel=Endpoint.Filesystem where

Filesystem.file_name IN (
  "cloud.json",
  "contents.json",
  "environment.json",
  "truffleSecrets.json",
  "actionsSecrets.json"
)

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(firstTime)`
| `security_content_ctime(lastTime)`
| `shai_hulud_2_exfiltration_artifact_files_filter`

Implementation guide

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 filesystem events, specifically file creation events. 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 Filesystem 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

  • Low but possible. Generic filenames like cloud.json or environment.json may appear in legitimate contexts. Correlate with npm install activity or suspicious parent processes.

Analyst notes

Known false positives: Low but possible. Generic filenames like cloud.json or environment.json may appear in legitimate contexts. Correlate with npm install activity or suspicious parent processes.

Raw source Shai-Hulud 2 Exfiltration Artifact Files · SPL
Esc
Published by splunk/security_content ↗, licensed under Apache 2.0 ↗. Reproduced here unmodified.
name: Shai-Hulud 2 Exfiltration Artifact Files
id: 9e7d3c0f-4a5b-6c8d-1e2f-3a4b5c6d7e8f
version: 4
creation_date: '2025-11-25'
modification_date: '2026-05-13'
author: Michael Haag, Splunk
status: production
type: TTP
description: |
    Detects creation of exfiltration artifact files associated with Shai-Hulud 2.0 npm supply
    chain malware. The malware creates cloud.json, contents.json, environment.json, truffleSecrets.json,
    and actionsSecrets.json files containing harvested credentials from AWS, Azure, GCP, GitHub secrets,
    and environment variables. These files are staged before being pushed to attacker-controlled repositories.
data_source:
    - Sysmon for Linux EventID 11
    - Sysmon EventID 11
search: |
    | tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime

    from datamodel=Endpoint.Filesystem where

    Filesystem.file_name IN (
      "cloud.json",
      "contents.json",
      "environment.json",
      "truffleSecrets.json",
      "actionsSecrets.json"
    )

    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(firstTime)`
    | `security_content_ctime(lastTime)`
    | `shai_hulud_2_exfiltration_artifact_files_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 filesystem events, specifically file creation
    events. 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 `Filesystem`
    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: |
    Low but possible. Generic filenames like cloud.json or environment.json may appear in legitimate contexts. Correlate with npm install activity or suspicious parent processes.
references:
    - https://www.wiz.io/blog/shai-hulud-2-0-ongoing-supply-chain-attack
    - https://securelist.com/shai-hulud-worm-infects-500-npm-packages-in-a-supply-chain-attack/117547/
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: Shai-Hulud 2.0 exfiltration artifact $file_name$ created on $dest$
    entity:
        field: dest
        type: system
        score: 50
threat_objects:
    - field: file_name
      type: file_name
analytic_story:
    - NPM Supply Chain Compromise
asset_type: Endpoint
mitre_attack_id:
    - T1074.001
    - T1552.001
    - T1195.002
product:
    - Splunk Enterprise
    - Splunk Enterprise Security
    - Splunk Cloud
category: endpoint
security_domain: endpoint
tests:
    - name: True Positive Test - Linux
      attack_data:
        - data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1195.001/npm/shai_hulud_workflow_sysmon.log
          source: Syslog:Linux-Sysmon/Operational
          sourcetype: sysmon:linux
      test_type: unit
    - name: True Positive Test - Windows
      attack_data:
        - data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1195.001/npm/windows_workflow_sysmon.log
          source: XmlWinEventLog:Microsoft-Windows-Sysmon/Operational
          sourcetype: XmlWinEventLog
      test_type: unit

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