Empire Net Local Users
Contents
Empire Net Local Users#
Metadata#
Contributors |
Roberto Rodriguez @Cyb3rWard0g |
Creation Date |
2019/03/19 |
Modification Date |
2020/09/20 |
Tactics |
|
Techniques |
|
Tags |
Local Users Enumeration |
Dataset Description#
This dataset represents adversaries enumerating all local users on an endpoint
Datasets Downloads#
Type |
Link |
|---|---|
Host |
Adversary View#
(Empire: 1EHYPBVC) > agents
[*] Active agents:
Name La Internal IP Machine Name Username Process PID Delay Last Seen Listener
---- -- ----------- ------------ -------- ------- --- ----- --------- ----------------
4SUZ8X62 ps 172.18.39.5 WORKSTATION5 *THESHIRE\pgustavo powershell 4092 5/0.0 2020-09-21 21:59:29 http
1EHYPBVC ps 172.18.39.5 WORKSTATION5 *THESHIRE\pgustavo powershell 7456 5/0.0 2020-09-21 23:25:39 http
(Empire: agents) > interact 1EHYPBVC
(Empire: 1EHYPBVC) > shell net user
[*] Tasked 1EHYPBVC to run TASK_SHELL
[*] Agent 1EHYPBVC tasked with task ID 3
(Empire: 1EHYPBVC) >
User accounts for \\WORKSTATION5
-------------------------------------------------------------------------------
DefaultAccount Guest wardog
WDAGUtilityAccount
The command completed successfully.
..Command execution completed.
(Empire: 1EHYPBVC) >
Explore Datasets#
Download & Decompress Dataset#
import requests
from zipfile import ZipFile
from io import BytesIO
url = https://raw.githubusercontent.com/OTRF/Security-Datasets/master/datasets/atomic/windows/discovery/host/empire_shell_net_local_users.zip
zipFileRequest = requests.get(url)
zipFile = ZipFile(BytesIO(zipFileRequest.content))
datasetJSONPath = zipFile.extract(zipFile.namelist()[0])
Read JSON File#
from pandas.io import json
df = json.read_json(path_or_buf=datasetJSONPath, lines=True)
Access Security Events#
df.groupby(['Channel']).size().sort_values(ascending=False)