| ID | Technique | Tactic |
|---|---|---|
| T1555.001 | Keychain | Credential Access |
Detection: MacOS Keychains Dumped
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.
Search
1
2| tstats `security_content_summariesonly`
3 count min(_time) as firstTime
4 max(_time) as lastTime
5
6from datamodel=Endpoint.Processes where
7
8Processes.process IN (
9 "*dump-keychain -d*",
10 "*keychaindump*"
11)
12
13Processes.process="*/library/keychains*"
14
15by Processes.dest Processes.original_file_name Processes.parent_process_id
16 Processes.process Processes.process_exec Processes.process_guid
17 Processes.process_hash Processes.process_id
18 Processes.process_current_directory Processes.process_name
19 Processes.process_path Processes.user
20 Processes.user_id Processes.vendor_product
21
22
23| `drop_dm_object_name(Processes)`
24
25| `security_content_ctime(firstTime)`
26
27| `security_content_ctime(lastTime)`
28
29| `macos_keychains_dumped_filter`
Data Source
| Name | Platform | Sourcetype | Source |
|---|---|---|---|
| Osquery Results | Other | 'osquery:results' |
'osquery' |
Macros Used
| Name | Value |
|---|---|
| security_content_ctime | convert timeformat="%Y-%m-%dT%H:%M:%S" ctime($field$) |
| macos_keychains_dumped_filter | search * |
macos_keychains_dumped_filter is an empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
Annotations
Default Configuration
This detection is configured by default in Splunk Enterprise Security to run with the following settings:
| Setting | Value |
|---|---|
| Disabled | true |
| Cron Schedule | 0 * * * * |
| Earliest Time | -70m@m |
| Latest Time | -10m@m |
| Schedule Window | auto |
| Creates Notable | Yes |
| Rule Title | %name% |
| Rule Description | %description% |
| Notable Event Fields | user, dest |
| Creates Risk Event | True |
Implementation
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 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.
Associated Analytic Story
Risk Based Analytics (RBA)
Risk Message:
Keychains dumped on $dest$ by $user$ via $process$
| Risk Object | Risk Object Type | Risk Score | Threat Objects |
|---|---|---|---|
| dest | system | 50 | No Threat Objects |
| user | user | 50 | No Threat Objects |
References
Detection Testing
| Test Type | Status | Dataset | Source | Sourcetype |
|---|---|---|---|---|
| Validation | ✅ Passing | N/A | N/A | N/A |
| Unit | ✅ Passing | Dataset | osquery |
osquery:results |
| Integration | ✅ Passing | Dataset | osquery |
osquery:results |
Replay any dataset to Splunk Enterprise by using our replay.py tool or the UI.
Alternatively you can replay a dataset into a Splunk Attack Range
Source: GitHub | Version: 2