Spike in host-based traffic
A machine learning job has detected a sudden spike in host based traffic. This can be due to a range of security issues, such as a compromised system, DDoS attacks, malware infections, privilege escalation, or data…
Description
A machine learning job has detected a sudden spike in host based traffic. This can be due to a range of security issues, such as a compromised system, DDoS attacks, malware infections, privilege escalation, or data exfiltration.
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
- ContainersESXiIaaSLinuxmacOSNetwork DevicesOffice SuiteSaaSWindows
The rule states no platform. This is derived from the 8 ATT&CK techniques it maps to.
Known benign triggers
- System updates, scheduled backups, or misconfigured services may trigger this alert.
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
- fe8d6507-b543-4bbc-849f-dc0da6db29f6
- Tagged by the source as
- Data Source: Auditd ManagerData Source: Elastic DefendData Source: Windows Security Event LogsDomain: EndpointOS: WindowsPlatform: WindowsResources: 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