Drop IcedID License dat
Description
The following analytic detects the dropping of a suspicious file named "license.dat" in %appdata% or %programdata%. This behavior is associated with the IcedID malware, which uses this file to inject its core bot into other processes for banking credential theft. The detection leverages Sysmon EventCode 11 to monitor file creation events in these directories. This activity is significant as it indicates a potential malware infection aiming to steal sensitive banking information. If confirmed malicious, the attacker could gain unauthorized access to financial data, leading to significant financial loss and data breaches.
- Type: Hunting
-
Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Last Updated: 2024-05-25
- Author: Teoderick Contreras, Splunk
- ID: b7a045fc-f14a-11eb-8e79-acde48001122
Annotations
Kill Chain Phase
- Installation
NIST
- DE.AE
CIS20
- CIS 10
CVE
Search
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`sysmon` EventCode= 11 TargetFilename = "*\\license.dat" AND (TargetFilename="*\\appdata\\*" OR TargetFilename="*\\programdata\\*")
|stats count min(_time) as firstTime max(_time) as lastTime by TargetFilename EventCode process_id process_name dest
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `drop_icedid_license_dat_filter`
Macros
The SPL above uses the following Macros:
drop_icedid_license_dat_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
How To Implement
To successfully implement this search, you need to be ingesting logs with the process name, parent process, and command-line executions from your endpoints. If you are using Sysmon, you must have at least version 6.0.4 of the Sysmon TA.
Known False Positives
unknown
Associated Analytic Story
RBA
Risk Score | Impact | Confidence | Message |
---|---|---|---|
63.0 | 70 | 90 | A process $process_name$ created a file $TargetFilename$ on host $dest$ |
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: 2