mirror of
https://github.com/splunk/security_content
synced 2026-06-08 17:32:49 +00:00
Bhavin Patel
81 lines
3.3 KiB
YAML
81 lines
3.3 KiB
YAML
name: Detect Remote Access Software Usage File
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id: 3bf5541a-6a45-4fdc-b01d-59b899fff961
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version: 2
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date: '2024-05-13'
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author: Steven Dick
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status: production
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type: Anomaly
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description: The following analytic detects the writing of files from known remote
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access software to disk within the environment. It leverages data from Endpoint
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Detection and Response (EDR) agents, focusing on file path, file name, and user
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information. This activity is significant as adversaries often use remote access
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tools like AnyDesk, GoToMyPC, LogMeIn, and TeamViewer to maintain unauthorized access.
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If confirmed malicious, this could allow attackers to persist in the environment,
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potentially leading to data exfiltration, further compromise, or complete control
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over affected systems.
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data_source:
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- Sysmon EventID 11
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search: '| tstats `security_content_summariesonly` count, min(_time) as firstTime,
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max(_time) as lastTime, values(Filesystem.file_path) as file_path from datamodel=Endpoint.Filesystem
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by Filesystem.dest, Filesystem.user, Filesystem.file_name | `security_content_ctime(firstTime)`
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| `security_content_ctime(lastTime)` | `drop_dm_object_name(Filesystem)` | lookup
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remote_access_software remote_utility AS file_name OUTPUT isutility, description
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as signature, comment_reference as desc, category | search isutility = TRUE | `detect_remote_access_software_usage_file_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 file path, file name, and the user that created
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the file. These logs must be processed using the appropriate Splunk Technology Add-ons
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that are specific to the EDR product. The logs must also be mapped to the `Filesystem`
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node of the `Endpoint` data model. Use the Splunk Common Information Model (CIM)
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to normalize the field names and speed up the data modeling process.
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known_false_positives: Known or approved applications used by the organization or
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usage of built-in functions.
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references:
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- https://attack.mitre.org/techniques/T1219/
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- https://thedfirreport.com/2022/08/08/bumblebee-roasts-its-way-to-domain-admin/
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- https://thedfirreport.com/2022/11/28/emotet-strikes-again-lnk-file-leads-to-domain-wide-ransomware/
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tags:
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analytic_story:
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- Insider Threat
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- Command And Control
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- Ransomware
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asset_type: Endpoint
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confidence: 50
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impact: 50
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message: A file for known a remote access software [$file_name$] was created on
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$dest$ by $user$.
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mitre_attack_id:
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- T1219
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observable:
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- name: dest
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type: Hostname
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role:
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- Victim
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- name: user
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type: User
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role:
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- Victim
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- name: file_name
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type: File Name
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role:
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- Attacker
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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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required_fields:
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- _time
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- Filesystem.dest
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- Filesystem.user
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- Filesystem.file_name
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risk_score: 25
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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/attack_techniques/T1219/screenconnect/screenconnect_sysmon.log
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source: XmlWinEventLog:Microsoft-Windows-Sysmon/Operational
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sourcetype: XmlWinEventLog
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