| ID | Technique | Tactic |
|---|---|---|
| T1105 | Ingress Tool Transfer | Command And Control |
Detection: File Download or Read to Pipe Execution
Description
The following analytic detects the use of download or file reading utilities from Windows, Linux or MacOS to download or read the contents of a file from a remote or local source and pipe it directly to a shell for execution. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions. This activity is significant as it is commonly associated with malicious actions like coinminers and exploits such as CVE-2021-44228 in Log4j. If confirmed malicious, this behavior could allow attackers to execute arbitrary code, potentially leading to system compromise and unauthorized access to sensitive data.
Search
1
2| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time)
3as lastTime
4
5from datamodel=Endpoint.Processes where
6
7``` This aims to cover download utilities and file reading ones ```
8
9Processes.process IN (
10 "*.DownloadFile(*",
11 "*.DownloadString(*",
12 "*ASCII.GetString*",
13 "*bitsadmin*",
14 "*certutil*",
15 "*curl*",
16 "*Invoke-RestMethod*",
17 "*Invoke-WebRequest*",
18 "*irm*",
19 "*iwr *",
20 "*mshta*",
21 "*wget*"
22)
23
24Processes.process IN ("*
25|*")
26
27(
28 ``` Linux / MacOS ```
29 Processes.process IN (
30 "*bash*",
31 "*csh*",
32 "*dash*",
33 "*fish*",
34 "*ksh*",
35 "*rbash*",
36 "*tcsh*",
37 "*zsh*"
38 )
39 OR
40 ``` Because the "sh" string can overlap and is a short atom we treat it in a special case ```
41 Processes.process IN (
42 "*
43|sh"
44 "* sh*"
45 )
46 OR
47 ``` Windows ```
48 Processes.process IN ("*IEX*", "*Invoke-Expression*")
49)
50
51by Processes.action Processes.dest Processes.original_file_name Processes.parent_process
52 Processes.parent_process_exec Processes.parent_process_guid Processes.parent_process_id
53 Processes.parent_process_name Processes.parent_process_path Processes.process
54 Processes.process_exec Processes.process_guid Processes.process_hash Processes.process_id
55 Processes.process_integrity_level Processes.process_name Processes.process_path Processes.user
56 Processes.user_id Processes.vendor_product
57
58
59| `drop_dm_object_name(Processes)`
60
61| `security_content_ctime(firstTime)`
62
63| `security_content_ctime(lastTime)`
64
65| `file_download_or_read_to_pipe_execution_filter`
Data Source
| Name | Platform | Sourcetype | Source |
|---|---|---|---|
| CrowdStrike ProcessRollup2 | N/A | 'crowdstrike:events:sensor' |
'crowdstrike' |
| Sysmon EventID 1 | 'XmlWinEventLog' |
'XmlWinEventLog:Microsoft-Windows-Sysmon/Operational' |
|
| Sysmon for Linux EventID 1 | 'sysmon:linux' |
'Syslog:Linux-Sysmon/Operational' |
|
| Windows Event Log Security 4688 | 'XmlWinEventLog' |
'XmlWinEventLog:Security' |
Macros Used
| Name | Value |
|---|---|
| security_content_ctime | convert timeformat="%Y-%m-%dT%H:%M:%S" ctime($field$) |
| file_download_or_read_to_pipe_execution_filter | search * |
file_download_or_read_to_pipe_execution_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
The detection is based on data that originates from Endpoint Detection
and Response (EDR) agents. These agents are designed to provide security-related
telemetry from the endpoints where the agent is installed. To implement this search,
you must ingest logs that contain the process GUID, process name, and parent process.
Additionally, you must ingest complete command-line executions. These logs must
be processed using the appropriate Splunk Technology Add-ons that are specific to
the EDR product. The logs must also be mapped to the Processes node of the Endpoint
data model. Use the Splunk Common Information Model (CIM) to normalize the field
names and speed up the data modeling process.
Known False Positives
False positives should be limited, however filtering may be required.
Associated Analytic Story
Risk Based Analytics (RBA)
Risk Message:
An instance of $process_name$ was identified on endpoint $dest$ attempting to immediately read or download a file and run it via a shell.
| Risk Object | Risk Object Type | Risk Score | Threat Objects |
|---|---|---|---|
| dest | system | 80 | process_name, process |
| user | user | 80 | process_name, process |
References
-
https://gist.github.com/nathanqthai/01808c569903f41a52e7e7b575caa890
-
https://github.com/MHaggis/notes/blob/master/utilities/warp_pipe_tester.py
-
https://www.huntress.com/blog/rapid-response-critical-rce-vulnerability-is-affecting-java
Detection Testing
| Test Type | Status | Dataset | Source | Sourcetype |
|---|---|---|---|---|
| Validation | ✅ Passing | N/A | N/A | N/A |
| Unit | ✅ Passing | Dataset | XmlWinEventLog:Microsoft-Windows-Sysmon/Operational |
XmlWinEventLog |
| Integration | ✅ Passing | Dataset | XmlWinEventLog:Microsoft-Windows-Sysmon/Operational |
XmlWinEventLog |
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: 1