mirror of
https://github.com/splunk/security_content
synced 2026-06-08 17:32:49 +00:00
Nasreddine Bencherchali
11c909f725
* Add YAML formatting and validation infrastructure - Add yamlfmt configuration (.yamlfmt) with 4-space indent, LF line endings - Add yamllint configuration (.yamllint) for syntax validation (detections/ only) - Add pre-commit hook for automatic YAML formatting - Add CI validation script with unified error output - Add GitHub Actions workflow for PR validation - Add documentation for setup and usage - Support custom yamlfmt binary path via --yamlfmt-path flag * comment yaml check from pre-commit * apply yamlfmt * Update yaml-validation.yml * Update yaml-validation.yml * application folder search formatting * cloud folder search formatting * web folder search formatting * network folder search formatting * endpoint folder search formatting * resolve first conflict * apply formatting * remove additional pipe * Update README.md * update versions * restore and update formatting (#3920) --------- Co-authored-by: Bhavin Patel <bhavin.j.patel91@gmail.com>
74 lines
4.6 KiB
YAML
74 lines
4.6 KiB
YAML
name: Vbscript Execution Using Wscript App
|
|
id: 35159940-228f-11ec-8a49-acde48001122
|
|
version: 10
|
|
date: '2026-02-25'
|
|
author: Teoderick Contreras, Splunk
|
|
status: production
|
|
type: TTP
|
|
description: The following analytic detects the execution of VBScript using the wscript.exe application. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process and command-line telemetry. This activity is significant because wscript.exe is typically not used to execute VBScript, which is usually associated with cscript.exe. This deviation can indicate an attempt to evade traditional process monitoring and antivirus defenses. If confirmed malicious, this technique could allow attackers to execute arbitrary code, potentially leading to system compromise, data exfiltration, or further lateral movement within the network.
|
|
data_source:
|
|
- Sysmon EventID 1
|
|
- CrowdStrike ProcessRollup2
|
|
search: |-
|
|
| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime FROM datamodel=Endpoint.Processes
|
|
WHERE (
|
|
Processes.parent_process_name = "wscript.exe"
|
|
AND
|
|
Processes.parent_process = "*//e:vbscript*"
|
|
)
|
|
OR (Processes.process_name = "wscript.exe" AND Processes.process = "*//e:vbscript*")
|
|
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)`
|
|
| `vbscript_execution_using_wscript_app_filter`
|
|
how_to_implement: 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: No false positives have been identified at this time.
|
|
references:
|
|
- https://www.joesandbox.com/analysis/369332/0/html
|
|
- https://malpedia.caad.fkie.fraunhofer.de/details/win.asyncrat
|
|
drilldown_searches:
|
|
- name: View the detection results for - "$dest$" and "$user$"
|
|
search: '%original_detection_search% | search dest = "$dest$" user = "$user$"'
|
|
earliest_offset: $info_min_time$
|
|
latest_offset: $info_max_time$
|
|
- name: View risk events for the last 7 days for - "$dest$" and "$user$"
|
|
search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$dest$", "$user$") starthoursago=168 | stats count min(_time) as firstTime max(_time) as lastTime values(search_name) as "Search Name" values(risk_message) as "Risk Message" values(analyticstories) as "Analytic Stories" values(annotations._all) as "Annotations" values(annotations.mitre_attack.mitre_tactic) as "ATT&CK Tactics" by normalized_risk_object | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`'
|
|
earliest_offset: $info_min_time$
|
|
latest_offset: $info_max_time$
|
|
rba:
|
|
message: Process name $process_name$ with commandline $process$ to execute vbsscript
|
|
risk_objects:
|
|
- field: dest
|
|
type: system
|
|
score: 49
|
|
- field: user
|
|
type: user
|
|
score: 49
|
|
threat_objects: []
|
|
tags:
|
|
analytic_story:
|
|
- FIN7
|
|
- Remcos
|
|
- AsyncRAT
|
|
asset_type: Endpoint
|
|
mitre_attack_id:
|
|
- T1059.005
|
|
product:
|
|
- Splunk Enterprise
|
|
- Splunk Enterprise Security
|
|
- Splunk Cloud
|
|
security_domain: endpoint
|
|
tests:
|
|
- name: True Positive Test
|
|
attack_data:
|
|
- data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1059.005/vbs_wscript/sysmon.log
|
|
source: XmlWinEventLog:Microsoft-Windows-Sysmon/Operational
|
|
sourcetype: XmlWinEventLog
|