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splunk_escuTTP

MacOS Keychains Dumped

Detects command-line attempts to access or dump macOS Keychain files. Adversaries may use native utilities or direct file access to extract plaintext credentials from Keychain databases located in ~/Library/Keychains/ or /Library/Keychains/. This technique is commonly associated with post-exploitation credential harvesting, where an attacker with local access seeks to escalate privileges or move laterally by obtaining stored credentials for applications, Wi-Fi networks, and system services.

MITRE ATT&CK

Detection Query

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

from datamodel=Endpoint.Processes where

Processes.process IN (
    "*dump-keychain -d*",
    "*keychaindump*"
)

Processes.process="*/library/keychains*"

by Processes.dest Processes.original_file_name Processes.parent_process_id
   Processes.process Processes.process_exec Processes.process_guid
   Processes.process_hash Processes.process_id
   Processes.process_current_directory 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)`
| `macos_keychains_dumped_filter`

Author

Raven Tait, Splunk

Created

2026-04-15

Data Sources

Osquery Results

Tags

MacOS Privilege Escalation
Raw Content
name: MacOS Keychains Dumped
id: dcb45a09-5e6f-441e-b2f8-cbbf923e36d9
version: 2
date: '2026-04-15'
author: Raven Tait, Splunk
status: production
type: TTP
description: |-
    Detects command-line attempts to access or dump macOS Keychain files. Adversaries may use native utilities or direct file access to extract plaintext credentials from Keychain databases located in ~/Library/Keychains/ or /Library/Keychains/.
    This technique is commonly associated with post-exploitation credential harvesting, where an attacker with local access seeks to escalate privileges or move laterally by obtaining stored credentials for applications, Wi-Fi networks, and system services.
data_source:
    - Osquery Results
search: |-
    | tstats `security_content_summariesonly`
      count min(_time) as firstTime
            max(_time) as lastTime

    from datamodel=Endpoint.Processes where

    Processes.process IN (
        "*dump-keychain -d*",
        "*keychaindump*"
    )

    Processes.process="*/library/keychains*"

    by Processes.dest Processes.original_file_name Processes.parent_process_id
       Processes.process Processes.process_exec Processes.process_guid
       Processes.process_hash Processes.process_id
       Processes.process_current_directory 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)`
    | `macos_keychains_dumped_filter`
how_to_implement: |-
    This detection uses osquery and endpoint security on MacOS. Follow the link in references, which describes how to setup process auditing in MacOS with endpoint security and osquery.
    Also the [TA-OSquery](https://splunkbase.splunk.com/app/8574) must be deployed across your indexers and universal forwarders in order to have the osquery data populate the data models.
known_false_positives: |-
    Administrators accessing keychain files for troubleshooting or endpoint management.
references:
    - https://osquery.readthedocs.io/en/stable/deployment/process-auditing/
    - https://gist.github.com/hfeeki/88c12f01d00534e09a84
    - https://ss64.com/mac/security-keychain-settings.html
drilldown_searches:
    - name: View the detection results for - "$user$" and "$dest$"
      search: '%original_detection_search% | search  user = "$user$" dest = "$dest$"'
      earliest_offset: $info_min_time$
      latest_offset: $info_max_time$
    - 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"
rba:
    message: Keychains dumped on $dest$ by $user$ via $process$
    risk_objects:
        - field: user
          type: user
          score: 50
        - field: dest
          type: system
          score: 50
    threat_objects: []
tags:
    analytic_story:
        - MacOS Privilege Escalation
    asset_type: Endpoint
    mitre_attack_id:
        - T1555.001
    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/T1555.001/osquery_keychains/osquery.log
          source: osquery
          sourcetype: osquery:results