Windows Credentials from Password Stores Chrome Login Data Access
Description
This analytic is designed to identify non-chrome processes accessing the Chrome user data file called "login data." This SQLite database file contains important information related to the browser's operations on the computer. Threat actors, adversaries, and malware authors have been known to exploit this file in attempts to extract and decrypt passwords saved in the Chrome browser. Detecting access to the "login data" file by non-chrome processes serves as a valuable pivot for analyzing suspicious processes beyond the commonly observed chrome.exe and explorer.exe executables. By monitoring for this anomaly, we can enhance our ability to detect potential threats and protect sensitive information stored within the browser.
- Type: Anomaly
-
Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Last Updated: 2023-04-27
- Author: Teoderick Contreras, Splunk
- ID: 0d32ba37-80fc-4429-809c-0ba15801aeaf
Annotations
Kill Chain Phase
- Exploitation
NIST
- DE.AE
CIS20
- CIS 10
CVE
Search
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`wineventlog_security` EventCode=4663 object_file_path="*\\AppData\\Local\\Google\\Chrome\\User Data\\Default\\Login Data" AND NOT (process_path IN ("*:\\Windows\\explorer.exe", "*:\\Windows\\System32\\dllhost.exe", "*\\chrome.exe"))
| stats count min(_time) as firstTime max(_time) as lastTime by object_file_name object_file_path process_name process_path process_id EventCode dest
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `windows_credentials_from_password_stores_chrome_login_data_access_filter`
Macros
The SPL above uses the following Macros:
windows_credentials_from_password_stores_chrome_login_data_access_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
Required fields
List of fields required to use this analytic.
- _time
- object_file_name
- object_file_path
- process_name
- process_path
- process_id
- EventCode
- dest
How To Implement
To successfully implement this search, you must ingest Windows Security Event logs and track event code 4663. For 4663, enable "Audit Object Access" in Group Policy. Then check the two boxes listed for both "Success" and "Failure."
Known False Positives
Uninstall application may access this registry to remove the entry of the target application. filter is needed.
Associated Analytic Story
RBA
Risk Score | Impact | Confidence | Message |
---|---|---|---|
49.0 | 70 | 70 | A non-chrome process $process_name$ accessing Chrome "Login Data" file on $dest$ |
The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.
Reference
Test Dataset
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 | version: 1