ID | Technique | Tactic |
---|---|---|
T1102.002 | Bidirectional Communication | Command And Control |
T1041 | Exfiltration Over C2 Channel | Exfiltration |
Detection: Potential Telegram API Request Via CommandLine
Description
The following analytic detects the presence of "api.telegram.org" in the CommandLine of a process. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process execution logs that include command-line details. This activity can be significant as the telegram API has been used as an exfiltration mechanism or even as a C2 channel. If confirmed malicious, this could allow an attacker or malware to exfiltrate data or receive additional C2 instruction, potentially leading to further compromise and persistence within the network.
Search
1
2| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime from datamodel=Endpoint.Processes where Processes.process= "*api.telegram.org*" NOT Processes.process IN ("*-osint -url*", "* --single-argument*") by Processes.dest Processes.user Processes.parent_process_name Processes.parent_process_id Processes.process_name Processes.process Processes.process_id Processes.process_guid
3| `drop_dm_object_name(Processes)`
4| `security_content_ctime(firstTime)`
5| `security_content_ctime(lastTime)`
6| `potential_telegram_api_request_via_commandline_filter`
Data Source
Name | Platform | Sourcetype | Source |
---|---|---|---|
CrowdStrike ProcessRollup2 | N/A | 'crowdstrike:events:sensor' |
'crowdstrike' |
Sysmon EventID 1 | 'xmlwineventlog' |
'XmlWinEventLog:Microsoft-Windows-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($field$) |
potential_telegram_api_request_via_commandline_filter | search * |
potential_telegram_api_request_via_commandline_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 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 positive may stem from application or users requesting the API directly via CommandLine for testing purposes. Investigate the matches and apply the necessary filters.
Associated Analytic Story
Risk Based Analytics (RBA)
Risk Message:
Process $process_name$ with command line $process$ in $dest$
Risk Object | Risk Object Type | Risk Score | Threat Objects |
---|---|---|---|
dest | system | 30 | process_name |
References
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