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https://github.com/splunk/security_content
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pyth0n1c
84 lines
4.0 KiB
YAML
84 lines
4.0 KiB
YAML
name: Execute Javascript With Jscript COM CLSID
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id: dc64d064-d346-11eb-8588-acde48001122
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version: 6
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date: '2025-02-10'
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author: Teoderick Contreras, Splunk
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status: production
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type: TTP
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description: The following analytic detects the execution of JavaScript using the
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JScript.Encode CLSID (COM Object) by cscript.exe. It leverages data from Endpoint
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Detection and Response (EDR) agents, focusing on process names, command-line executions,
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and parent processes. This activity is significant as it is a known technique used
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by ransomware, such as Reddot, to execute malicious scripts and potentially disable
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AMSI (Antimalware Scan Interface). If confirmed malicious, this behavior could allow
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attackers to execute arbitrary code, evade detection, and maintain persistence within
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the environment.
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data_source:
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- Sysmon EventID 1
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- Windows Event Log Security 4688
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- CrowdStrike ProcessRollup2
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search: '| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time)
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as lastTime from datamodel=Endpoint.Processes where Processes.process_name = "cscript.exe"
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Processes.process="*-e:{F414C262-6AC0-11CF-B6D1-00AA00BBBB58}*" by Processes.parent_process_name
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Processes.process_name Processes.process Processes.parent_process Processes.process_id
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Processes.dest Processes.user | `drop_dm_object_name(Processes)` | `security_content_ctime(firstTime)`
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| `security_content_ctime(lastTime)` | `execute_javascript_with_jscript_com_clsid_filter`'
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how_to_implement: The detection is based on data that originates from Endpoint Detection
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and Response (EDR) agents. These agents are designed to provide security-related
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telemetry from the endpoints where the agent is installed. To implement this search,
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you must ingest logs that contain the process GUID, process name, and parent process.
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Additionally, you must ingest complete command-line executions. These logs must
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be processed using the appropriate Splunk Technology Add-ons that are specific to
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the EDR product. The logs must also be mapped to the `Processes` node of the `Endpoint`
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data model. Use the Splunk Common Information Model (CIM) to normalize the field
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names and speed up the data modeling process.
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known_false_positives: unknown
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references:
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- https://app.any.run/tasks/c0f98850-af65-4352-9746-fbebadee4f05/
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drilldown_searches:
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- name: View the detection results for - "$user$" and "$dest$"
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search: '%original_detection_search% | search user = "$user$" dest = "$dest$"'
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earliest_offset: $info_min_time$
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latest_offset: $info_max_time$
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- name: View risk events for the last 7 days for - "$user$" and "$dest$"
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search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$user$",
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"$dest$") starthoursago=168 | stats count min(_time) as firstTime max(_time)
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as lastTime values(search_name) as "Search Name" values(risk_message) as "Risk
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Message" values(analyticstories) as "Analytic Stories" values(annotations._all)
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as "Annotations" values(annotations.mitre_attack.mitre_tactic) as "ATT&CK Tactics"
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by normalized_risk_object | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`'
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earliest_offset: $info_min_time$
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latest_offset: $info_max_time$
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rba:
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message: Suspicious process of cscript.exe with a parent process $parent_process_name$
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where it tries to execute javascript using jscript.encode CLSID (COM OBJ), detected
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on $dest$ by $user$
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risk_objects:
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- field: user
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type: user
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score: 56
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- field: dest
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type: system
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score: 56
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threat_objects:
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- field: parent_process_name
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type: parent_process_name
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tags:
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analytic_story:
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- Ransomware
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asset_type: Endpoint
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mitre_attack_id:
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- T1059.005
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product:
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- Splunk Enterprise
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- Splunk Enterprise Security
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- Splunk Cloud
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security_domain: endpoint
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tests:
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- name: True Positive Test
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attack_data:
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- data:
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https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/malware/ransomware_ttp/data2/windows-sysmon.log
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source: XmlWinEventLog:Microsoft-Windows-Sysmon/Operational
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sourcetype: XmlWinEventLog
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