Techniques
Sample rules
Linux Persistence and Privilege Escalation Risk Behavior
- source: splunk
- technicques:
- T1548
Description
The following correlation is specific to Linux persistence and privilege escalation tactics and is tied to two analytic stories and any Linux analytic tied to persistence and privilege escalation. These techniques often overlap with Persistence techniques, as OS features that let an adversary persist can execute in an elevated context.
Detection logic
| tstats `security_content_summariesonly` min(_time) as firstTime max(_time) as lastTime sum(All_Risk.calculated_risk_score) as risk_score, count(All_Risk.calculated_risk_score) as risk_event_count, values(All_Risk.annotations.mitre_attack.mitre_tactic_id) as annotations.mitre_attack.mitre_tactic_id, dc(All_Risk.annotations.mitre_attack.mitre_tactic_id) as mitre_tactic_id_count, values(All_Risk.annotations.mitre_attack.mitre_technique_id) as annotations.mitre_attack.mitre_technique_id, dc(All_Risk.annotations.mitre_attack.mitre_technique_id) as mitre_technique_id_count, values(All_Risk.tag) as tag, values(source) as source, dc(source) as source_count from datamodel=Risk.All_Risk where (All_Risk.analyticstories IN ("Linux Privilege Escalation", "Linux Persistence Techniques") OR source = "*Linux*") All_Risk.annotations.mitre_attack.mitre_tactic IN ("persistence", "privilege-escalation") All_Risk.risk_object_type="system" by All_Risk.risk_object All_Risk.risk_object_type All_Risk.annotations.mitre_attack.mitre_tactic
| `drop_dm_object_name(All_Risk)`
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| where source_count >= 4
| `linux_persistence_and_privilege_escalation_risk_behavior_filter`
Windows Common Abused Cmd Shell Risk Behavior
- source: splunk
- technicques:
- T1222
- T1049
- T1033
- T1529
- T1016
- T1059
Description
The following correlation identifies instances where four or more distinct detection analytics are associated with malicious command line behavior that is known to be exploited by multiple threat actors, adversaries, or red teamers on a specific host. By leveraging the Command Line Interface (CLI), attackers can execute malicious commands, gain access to sensitive data, install backdoors, and engage in various nefarious activities. The impact of such compromise can be severe, as attackers may gain unauthorized control over the compromised system, enabling them to exfiltrate valuable information, escalate privileges, or launch further attacks within the network. If this detection is triggered, there is a high level of confidence in the occurrence of suspicious command line activities on the host.
Detection logic
| tstats `security_content_summariesonly` min(_time) as firstTime max(_time) as lastTime sum(All_Risk.calculated_risk_score) as risk_score, count(All_Risk.calculated_risk_score) as risk_event_count, values(All_Risk.annotations.mitre_attack.mitre_tactic_id) as annotations.mitre_attack.mitre_tactic_id, dc(All_Risk.annotations.mitre_attack.mitre_tactic_id) as mitre_tactic_id_count, values(All_Risk.annotations.mitre_attack.mitre_technique_id) as annotations.mitre_attack.mitre_technique_id, dc(All_Risk.annotations.mitre_attack.mitre_technique_id) as mitre_technique_id_count, values(All_Risk.tag) as tag, values(source) as source, dc(source) as source_count from datamodel=Risk.All_Risk where source IN ("*Cmdline Tool Not Executed In CMD Shell*", "*Windows System Network Config Discovery Display DNS*", "*Local Account Discovery With Wmic*", "*Net Localgroup Discovery*", "*Create local admin accounts using net exe*", "*Local Account Discovery with Net*", "*Icacls Deny Command*", "*ICACLS Grant Command*", "*Windows Proxy Via Netsh*", "*Processes launching netsh*", "*Disabling Firewall with Netsh*", "*Windows System Network Connections Discovery Netsh*", "*Network Connection Discovery With Arp*", "*Windows System Discovery Using ldap Nslookup*", "*Windows System Shutdown CommandLine*") by All_Risk.risk_object All_Risk.risk_object_type All_Risk.annotations.mitre_attack.mitre_tactic
| `drop_dm_object_name(All_Risk)`
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| where source_count >= 4
| `windows_common_abused_cmd_shell_risk_behavior_filter`
Windows Post Exploitation Risk Behavior
- source: splunk
- technicques:
- T1012
- T1049
- T1069
- T1016
- T1003
- T1082
- T1115
- T1552
Description
The following correlation identifies a four or more number of distinct analytics associated with the Windows Post-Exploitation analytic story, which enables the identification of potentially suspicious behavior. Windows Post-Exploitation refers to the phase that occurs after an attacker successfully compromises a Windows system. During this stage, attackers strive to maintain persistence, gather sensitive information, escalate privileges, and exploit the compromised environment further. Timely detection of post-exploitation activities is crucial for prompt response and effective mitigation. Common post-exploitation detections encompass identifying suspicious processes or services running on the system, detecting unusual network connections or traffic patterns, identifying modifications to system files or registry entries, monitoring abnormal user account activities, and flagging unauthorized privilege escalations. Ensuring the detection of post-exploitation activities is essential to proactively prevent further compromise, minimize damage, and restore the security of the Windows environment.
Detection logic
| tstats `security_content_summariesonly` min(_time) as firstTime max(_time) as lastTime sum(All_Risk.calculated_risk_score) as risk_score, count(All_Risk.calculated_risk_score) as risk_event_count, values(All_Risk.annotations.mitre_attack.mitre_tactic_id) as annotations.mitre_attack.mitre_tactic_id, dc(All_Risk.annotations.mitre_attack.mitre_tactic_id) as mitre_tactic_id_count, values(All_Risk.annotations.mitre_attack.mitre_technique_id) as annotations.mitre_attack.mitre_technique_id, dc(All_Risk.annotations.mitre_attack.mitre_technique_id) as mitre_technique_id_count, values(All_Risk.tag) as tag, values(source) as source, dc(source) as source_count from datamodel=Risk.All_Risk where All_Risk.analyticstories IN ("*Windows Post-Exploitation*") by All_Risk.risk_object All_Risk.risk_object_type All_Risk.annotations.mitre_attack.mitre_tactic
| `drop_dm_object_name(All_Risk)`
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| where source_count >= 4
| `windows_post_exploitation_risk_behavior_filter`
Windows Modify Registry Risk Behavior
- source: splunk
- technicques:
- T1112
Description
This analytic is designed to identify instances where three or more distinct analytics associated with Mitre ID T1112 - Modification of registry information are triggered. Such occurrences could indicate the presence of multiple malicious registry modifications on a host. Malicious actors frequently manipulate the Windows Registry to hide important configuration details within specific Registry keys. This technique allows them to obscure their activities, erase any evidence during cleanup operations, and establish continuous access and execution of malicious code.
Detection logic
| tstats `security_content_summariesonly` min(_time) as firstTime max(_time) as lastTime sum(All_Risk.calculated_risk_score) as risk_score, count(All_Risk.calculated_risk_score) as risk_event_count, values(All_Risk.annotations.mitre_attack.mitre_tactic_id) as annotations.mitre_attack.mitre_tactic_id, dc(All_Risk.annotations.mitre_attack.mitre_tactic_id) as mitre_tactic_id_count, values(All_Risk.annotations.mitre_attack.mitre_technique_id) as annotations.mitre_attack.mitre_technique_id, dc(All_Risk.annotations.mitre_attack.mitre_technique_id) as mitre_technique_id_count, values(All_Risk.tag) as tag, values(source) as source, dc(source) as source_count from datamodel=Risk.All_Risk where source IN ("*registry*") All_Risk.annotations.mitre_attack.mitre_technique_id IN ("*T1112*") by All_Risk.risk_object All_Risk.risk_object_type All_Risk.annotations.mitre_attack.mitre_tactic
| `drop_dm_object_name(All_Risk)`
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| where source_count >= 3
| `windows_modify_registry_risk_behavior_filter`