Threat Essentials - Time series anomaly for data size transferred to public internet
Identifies anomalous data transfer to public networks. The query leverages built-in KQL anomaly detection algorithms that detects large deviations from a baseline pattern. A sudden increase in data transferred to…
Description
Identifies anomalous data transfer to public networks. The query leverages built-in KQL anomaly detection algorithms that detects large deviations from a baseline pattern. A sudden increase in data transferred to unknown public networks is an indication of data exfiltration attempts and should be investigated. The higher the score, the further it is from the baseline value. The output is aggregated to provide summary view of unique source IP to destination IP address and port bytes sent traffic observed in the flagged anomaly hour. The source IP addresses which were sending less than bytessentperhourthreshold have been exluded whose value can be adjusted as needed . You may have to run queries for individual source IP addresses from SourceIPlist to determine if anything looks suspicious
Detection logic
Detection requirements
- Platform
- ESXiLinuxmacOSWindows
The rule states no platform. This is derived from the ATT&CK technique it maps to.
- Log source product
- azuremonitor_vminsightsciscoasaciscoasaamapaloaltonetworks
- Log source service
- commonsecuritylogvmconnection
MITRE ATT&CK mappings
0 exclusive techniques.This is coverage no other published rule has; it is not this rule's total technique count.
No references are available for this detection.
From the source
- At source
- Open at source
- Upstream identifier
- b49a1093-cbf6-4973-89ac-2eef98f533c6
- Tagged by the source as
- Exfiltration
Licence
- Published under
- MIT LicenseRead the licence
- Attribution
- Required
- Obtained under
- MITRead the origin licence
Authorship
- Published
- Sep 1, 2026
- Version
- 1