Unusual Network Destination Domain Name
A machine learning job detected an unusual network destination domain name. This can be due to initial access, persistence, command-and-control, or exfiltration activity. For example, when a user clicks on a link in…
Description
A machine learning job detected an unusual network destination domain name. This can be due to initial access, persistence, command-and-control, or exfiltration activity. For example, when a user clicks on a link in a phishing email or opens a malicious document, a request may be sent to download and run a payload from an uncommon web server name. When malware is already running, it may send requests to an uncommon DNS domain the malware uses for command-and-control communication.
Detection logic
Its licence does not clear it for publishing here
Sunturai publishes a detection's own text where the licence it arrived under has been reviewed and permits it, and Elastic License 2.0 has not. The query as its source wrote it, its canonical form and the hash that pins this revision are in the workspace record.
Detection requirements
- Platform
- ESXiIdentity ProviderLinuxmacOSNetwork DevicesOffice SuiteSaaSWindows
The rule states no platform. This is derived from the 4 ATT&CK techniques it maps to.
Known benign triggers
- Web activity that occurs rarely in small quantities can trigger this alert. Possible examples are browsing technical support or vendor URLs that are used very sparsely. A user who visits a new and unique web destination may trigger this alert when the activity is sparse. Web applications that generate URLs unique to a transaction may trigger this when they are used sparsely. Web domains can be excluded in cases such as these.
MITRE ATT&CK mappings
0 exclusive techniques.This is coverage no other published rule has; it is not this rule's total technique count.
References
| Reference | Cited by |
|---|---|
| www.elastic.co/guide/en/security/current/prebuilt-ml-jobs.html | 103 |
From the source
- At source
- Open at source
- Upstream identifier
- 17e68559-b274-4948-ad0b-f8415bb31126
- Tagged by the source as
- Data Source: Auditd ManagerData Source: Elastic DefendDomain: EndpointDomain: NetworkResources: Investigation GuideRule Type: Machine LearningRule Type: MLUse Case: Threat Detection
Licence
- Published under
- Elastic License 2.0Read the licence
- Attribution
- Required
Authorship
- Written by
- Published
- Sep 20, 2026
- Version
- 2