Techniques
Sample rules
Attacker Tools On Endpoint
- source: splunk
- technicques:
- T1036.005
- T1036
- T1003
- T1595
Description
The following analytic detects the use of tools that are commonly exploited by cybercriminals since these tools are usually associated with malicious activities such as unauthorized access, network scanning, or data exfiltration and pose a significant threat to an organization’s security infrastructure. It also provides enhanced visibility into potential security threats and helps to proactively detect and respond to mitigate the risks associated with cybercriminal activities. This detection is made by examining the process activity on the host, specifically focusing on processes that are known to be associated with attacker tool names. This detection is important because it acts as an early warning system for potential security incidents that allows you to respond to security incidents promptly. False positives might occur due to legitimate administrative activities that can resemble malicious actions. You must develop a comprehensive understanding of typical endpoint activities and behaviors within the organization to accurately interpret and respond to the alerts generated by this analytic. This ensures a proper balance between precision and minimizing false positives.
Detection logic
| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime values(Processes.process) as process values(Processes.parent_process) as parent_process from datamodel=Endpoint.Processes where Processes.dest!=unknown Processes.user!=unknown by Processes.dest Processes.user Processes.process_name Processes.process
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `drop_dm_object_name(Processes)`
| lookup attacker_tools attacker_tool_names AS process_name OUTPUT description
| search description !=false
| `attacker_tools_on_endpoint_filter`