Tool

Hunt pack: Agrius

1,106 vendor-native detections · ready to paste into your SIEM · cross-linked to ATT&CK
hunt pack: Agrius ×
Vendor-native detections covering the ATT&CK techniques attributed to Agrius - a ready-to-deploy hunt pack across Splunk, Elastic and Sentinel.

Detections

6 shown of 1,106
Splunk Original SPL T1082 ↗
Windows Wmic Systeminfo Discovery
The following analytic detects the execution of Windows Management Instrumentation Command-line (WMIC) commands used for computer system discovery on a Windows system. Specifically, it monitors for commands such as “wmic computersystem” that retrieve detailed information about the computer’s model, manufacturer, name, domain, and other system attributes. While these commands are commonly used by administrators for inventory and troubleshooting, they may also be exploited by adversaries to gain insight into the target environment during the reconnaissance phase of an attack. Identifying and alerting on WMIC computer system queries helps security teams recognize unauthorized information gathering and take steps to mitigate potential threats.
Show query
| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime FROM datamodel=Endpoint.Processes
  WHERE `process_wmic` (Processes.process="* computersystem*")
  BY Processes.action Processes.dest Processes.original_file_name
     Processes.parent_process Processes.parent_process_exec Processes.parent_process_guid
     Processes.parent_process_id Processes.parent_process_name Processes.parent_process_path
     Processes.process Processes.process_exec Processes.process_guid
     Processes.process_hash Processes.process_id Processes.process_integrity_level
     Processes.process_name Processes.process_path Processes.user
     Processes.user_id Processes.vendor_product
| `drop_dm_object_name(Processes)`
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `windows_wmic_systeminfo_discovery_filter`
Splunk Original SPL T1069.001 ↗
Wmic Group Discovery
The following analytic identifies the use of `wmic.exe` to enumerate local groups on an endpoint. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process execution logs, including command-line details. Monitoring this activity is significant as it can indicate reconnaissance efforts by an attacker to understand group memberships, which could be a precursor to privilege escalation or lateral movement. If confirmed malicious, this activity could allow an attacker to map out privileged groups, aiding in further exploitation and persistence within the environment.
Show query
| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime FROM datamodel=Endpoint.Processes
  WHERE Processes.process_name=wmic.exe (Processes.process="*group get name*")
  BY Processes.action Processes.dest Processes.original_file_name
     Processes.parent_process Processes.parent_process_exec Processes.parent_process_guid
     Processes.parent_process_id Processes.parent_process_name Processes.parent_process_path
     Processes.process Processes.process_exec Processes.process_guid
     Processes.process_hash Processes.process_id Processes.process_integrity_level
     Processes.process_name Processes.process_path Processes.user
     Processes.user_id Processes.vendor_product
| `drop_dm_object_name(Processes)`
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `wmic_group_discovery_filter`
Splunk Original SPL T1047 ↗
Wmiprvse LOLBAS Execution Process Spawn
The following analytic detects `wmiprvse.exe` spawning a LOLBAS execution process. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process creation events where `wmiprvse.exe` is the parent process and the child process is a known LOLBAS binary. This activity is significant as it may indicate lateral movement or remote code execution by an adversary abusing Windows Management Instrumentation (WMI). If confirmed malicious, this behavior could allow attackers to execute arbitrary code, escalate privileges, or maintain persistence within the environment, posing a severe security risk.
Show query
| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime FROM datamodel=Endpoint.Processes
  WHERE (
        Processes.parent_process_name=wmiprvse.exe
    )
    (Processes.process_name IN ("Regsvcs.exe", "Ftp.exe", "OfflineScannerShell.exe", "Rasautou.exe", "Schtasks.exe", "Xwizard.exe", "Dllhost.exe", "Pnputil.exe", "Atbroker.exe", "Pcwrun.exe", "Ttdinject.exe","Mshta.exe", "Bitsadmin.exe", "Certoc.exe", "Ieexec.exe", "Microsoft.Workflow.Compiler.exe", "Runscripthelper.exe", "Forfiles.exe", "Msbuild.exe", "Register-cimprovider.exe", "Tttracer.exe", "Ie4uinit.exe", "Bash.exe", "Hh.exe", "SettingSyncHost.exe", "Cmstp.exe", "Mmc.exe", "Stordiag.exe", "Scriptrunner.exe", "Odbcconf.exe", "Extexport.exe", "Msdt.exe", "WorkFolders.exe", "Diskshadow.exe", "Mavinject.exe", "Regasm.exe", "Gpscript.exe", "Rundll32.exe", "Regsvr32.exe", "Msiexec.exe", "Wuauclt.exe", "Presentationhost.exe", "Wmic.exe", "Runonce.exe", "Syncappvpublishingserver.exe", "Verclsid.exe", "Infdefaultinstall.exe", "Explorer.exe", "Installutil.exe", "Netsh.exe", "Wab.exe", "Dnscmd.exe", "At.exe", "Pcalua.exe", "Msconfig.exe"))
  BY Processes.action Processes.dest Processes.original_file_name
     Processes.parent_process Processes.parent_process_exec Processes.parent_process_guid
     Processes.parent_process_id Processes.parent_process_name Processes.parent_process_path
     Processes.process Processes.process_exec Processes.process_guid
     Processes.process_hash Processes.process_id Processes.process_integrity_level
     Processes.process_name Processes.process_path Processes.user
     Processes.user_id Processes.vendor_product
| `drop_dm_object_name(Processes)`
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `wmiprvse_lolbas_execution_process_spawn_filter`
Splunk Original SPL T1190 ↗
WordPress Bricks Builder plugin RCE
The following analytic identifies potential exploitation of the WordPress Bricks Builder plugin RCE vulnerability. It detects HTTP POST requests to the URL path "/wp-json/bricks/v1/render_element" with a status code of 200, leveraging the Web datamodel. This activity is significant as it indicates an attempt to exploit CVE-2024-25600, a known vulnerability that allows remote code execution. If confirmed malicious, an attacker could execute arbitrary commands on the target server, leading to potential full system compromise and unauthorized access to sensitive data.
Show query
| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime FROM datamodel=Web
  WHERE Web.url IN ("*/wp-json/bricks/v1/render_element") Web.status=200 Web.http_method=POST
  BY Web.src, Web.dest, Web.http_user_agent,
     Web.url, Web.uri_path, Web.status,
     Web.http_method, sourcetype, source
| `drop_dm_object_name("Web")`
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `wordpress_bricks_builder_plugin_rce_filter`
Splunk Original SPL T1021.006 ↗
Wsmprovhost LOLBAS Execution Process Spawn
The following analytic identifies `Wsmprovhost.exe` spawning a LOLBAS execution process. It leverages Endpoint Detection and Response (EDR) data to detect when `Wsmprovhost.exe` spawns child processes that are known LOLBAS (Living Off the Land Binaries and Scripts) executables. This activity is significant because it may indicate an adversary using Windows Remote Management (WinRM) to execute code on remote endpoints, a common technique for lateral movement. If confirmed malicious, this could allow attackers to execute arbitrary code, escalate privileges, or maintain persistence within the environment.
Show query
| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime FROM datamodel=Endpoint.Processes WHERE
Processes.parent_process_name=wsmprovhost.exe
Processes.process_name IN ("Regsvcs.exe", "Ftp.exe", "OfflineScannerShell.exe", "Rasautou.exe", "Schtasks.exe", "Xwizard.exe", "Dllhost.exe", "Pnputil.exe", "Atbroker.exe", "Pcwrun.exe", "Ttdinject.exe","Mshta.exe", "Bitsadmin.exe", "Certoc.exe", "Ieexec.exe", "Microsoft.Workflow.Compiler.exe", "Runscripthelper.exe", "Forfiles.exe", "Msbuild.exe", "Register-cimprovider.exe", "Tttracer.exe", "Ie4uinit.exe", "Bash.exe", "Hh.exe", "SettingSyncHost.exe", "Cmstp.exe", "Mmc.exe", "Stordiag.exe", "Scriptrunner.exe", "Odbcconf.exe", "Extexport.exe", "Msdt.exe", "WorkFolders.exe", "Diskshadow.exe", "Mavinject.exe", "Regasm.exe", "Gpscript.exe", "Rundll32.exe", "Regsvr32.exe", "Msiexec.exe", "Wuauclt.exe", "Presentationhost.exe", "Wmic.exe", "Runonce.exe", "Syncappvpublishingserver.exe", "Verclsid.exe", "Infdefaultinstall.exe", "Explorer.exe", "Installutil.exe", "Netsh.exe", "Wab.exe", "Dnscmd.exe", "At.exe", "Pcalua.exe", "Msconfig.exe")
BY Processes.action Processes.dest Processes.original_file_name
   Processes.parent_process Processes.parent_process_exec Processes.parent_process_guid
   Processes.parent_process_id Processes.parent_process_name Processes.parent_process_path
   Processes.process Processes.process_exec Processes.process_guid
   Processes.process_hash Processes.process_id Processes.process_integrity_level
   Processes.process_name Processes.process_path Processes.user
   Processes.user_id Processes.vendor_product
| `drop_dm_object_name(Processes)`
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `wsmprovhost_lolbas_execution_process_spawn_filter`
Splunk Original SPL T1078 ↗
Zoom High Video Latency
Detects particularly high latency from Zoom logs. Latency observed from threat actors performing Remote Employment Fraud (REF) is typically well above what’s normal for the majority of employees.
Show query
`zoom_index` | spath "payload.object.participant.qos{}.type" | search "payload.object.participant.qos{}.type"=video_input | rename payload.object.participant.qos{}.details.avg_latency as avg_latency "payload.object.participant.qos{}.details.latency" as latency payload.object.participant.email as email | rex field=avg_latency "(?<average_latency>\d+) ms" | rex field=latency "(?<overall_latency>\d+) ms" | search email="*" | table email overall_latency latency avg_latency average_latency _raw | stats latest(overall_latency) as overall_latency by email _raw | where overall_latency>300 | `zoom_high_video_latency_filter`
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