Detect Remote Access Software Usage URL

Original Source: [splunk source]
Name:Detect Remote Access Software Usage URL
id:9296f515-073c-43a5-88ec-eda5a4626654
version:4
date:2024-09-30
author:Steven Dick
status:production
type:Anomaly
Description:The following analytic detects the execution of known remote access software within the environment. It leverages network logs mapped to the Web data model, identifying specific URLs and user agents associated with remote access tools like AnyDesk, GoToMyPC, LogMeIn, and TeamViewer. This activity is significant as adversaries often use these utilities to maintain unauthorized remote access. If confirmed malicious, this could allow attackers to control systems remotely, exfiltrate data, or further compromise the network, posing a severe security risk.
Data_source:
  • -Palo Alto Network Threat
search:| tstats count min(_time) as firstTime max(_time) as lastTime latest(Web.http_method) as http_method latest(Web.http_user_agent) as http_user_agent latest(Web.url) as url latest(Web.user) as user latest(Web.dest) as dest from datamodel=Web by Web.action Web.src Web.category Web.url_domain
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `drop_dm_object_name("Web")`
| lookup remote_access_software remote_domain AS url_domain OUTPUT isutility, description as signature, comment_reference as desc, category
| search isutility = True
| `remote_access_software_usage_exceptions`
| `detect_remote_access_software_usage_url_filter`


how_to_implement:The detection is based on data that originates from network logs. These logs must be processed using the appropriate Splunk Technology Add-ons that are specific to the network logs. The logs must also be mapped to the `Web` data model. Use the Splunk Common Information Model (CIM) to normalize the field names and speed up the data modeling process. The "exceptions" macro leverages both an Assets and Identities lookup, as well as a KVStore collection called "remote_software_exceptions" that lets you track and maintain device- based exceptions for this set of detections.
known_false_positives:It is possible that legitimate remote access software is used within the environment. Ensure that the lookup is reviewed and updated with any additional remote access software that is used within the environment. Known false positives can be added to the remote_access_software_usage_exception.csv lookup to globally suppress these situations across all remote access content
References:
  -https://attack.mitre.org/techniques/T1219/
  -https://thedfirreport.com/2022/08/08/bumblebee-roasts-its-way-to-domain-admin/
  -https://thedfirreport.com/2022/11/28/emotet-strikes-again-lnk-file-leads-to-domain-wide-ransomware/
drilldown_searches:
name:'View the detection results for - "$src$" and "$user$"'
search:'%original_detection_search% | search src = "$src$" user = "$user$"'
earliest_offset:'$info_min_time$'
latest_offset:'$info_max_time$'
name:'View risk events for the last 7 days for - "$src$" and "$user$"'
search:'| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$src$", "$user$") 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:'$info_max_time$'
tags:
  analytic_story:
    - 'Insider Threat'
    - 'Command And Control'
    - 'Ransomware'
    - 'CISA AA24-241A'
  asset_type:Network
  confidence:50
  impact:50
  message:A domain for a known remote access software $url_domain$ was contacted by $src$.
  mitre_attack_id:
    - 'T1219'
  observable:
    name:'src'
    type:'Hostname'
    - role:
      - 'Victim'
    name:'user'
    type:'User'
    - role:
      - 'Victim'
    name:'url_domain'
    type:'Hostname'
    - role:
      - 'Attacker'
  product:
    - 'Splunk Enterprise'
    - 'Splunk Enterprise Security'
    - 'Splunk Cloud'
  required_fields:
    - '_time'
    - 'Web.action'
    - 'Web.src'
    - 'Web.category'
    - 'Web.url_domain'
  risk_score:25
  security_domain:network
  manual_test:This detection uses A&I lookups from Enterprise Security.

tests:
name:'True Positive Test'
 attack_data:
  data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1219/screenconnect/screenconnect_palo.log
  source: screenconnect_palo
  sourcetype: pan:threat
manual_test:None