Spike in Remote File Transfers
A machine learning job has detected an abnormal volume of remote files shared on the host indicating potential lateral movement activity. One of the primary goals of attackers after gaining access to a network is to…
Description
A machine learning job has detected an abnormal volume of remote files shared on the host indicating potential lateral movement activity. One of the primary goals of attackers after gaining access to a network is to locate and exfiltrate valuable information. Attackers might perform multiple small transfers to match normal egress activity in the network, to evade detection.
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.
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 |
|---|---|
| docs.elastic.co/en/integrations/lmd | 11 |
| www.elastic.co/blog/detecting-lateral-movement-activity-a-new-kibana-integration | 11 |
| www.elastic.co/blog/remote-desktop-protocol-connections-elastic-security | 11 |
| www.elastic.co/guide/en/security/current/prebuilt-ml-jobs.html | 103 |
From the source
- At source
- Open at source
- Upstream identifier
- e9b0902b-c515-413b-b80b-a8dcebc81a66
- Tagged by the source as
- Data Source: Elastic DefendDomain: EndpointResources: Investigation GuideRule Type: Machine LearningRule Type: MLTactic: Lateral MovementUse Case: Lateral Movement Detection
Licence
- Published under
- Elastic License 2.0Read the licence
- Attribution
- Required
Authorship
- Written by
- Published
- Sep 20, 2026
- Version
- 2