GSA - Detect Abnormal Deny Rate for Source to Destination IP
Identifies abnormal deny rate for specific source IP to destination IP based on the normal average and standard deviation learned during a configured period. This can indicate potential exfiltration, initial access,…
Description
Identifies abnormal deny rate for specific source IP to destination IP based on the normal average and standard deviation learned during a configured period. This can indicate potential exfiltration, initial access, or C2, where an attacker tries to exploit the same vulnerability on machines in the organization but is being blocked by firewall rules. Configurable Parameters: - minimumOfStdsThreshold: The number of stds to use in the threshold calculation. Default is set to 3. - learningPeriodTime: Learning period for threshold calculation in days. Default is set to 5. - binTime: Learning buckets time in hours. Default is set to 1 hour. - minimumThreshold: Minimum threshold for alert. Default is set to 5. - minimumBucketThreshold: Minimum learning buckets threshold for alert. Default is set to 5.
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
- azureactivedirectory
- Log source service
- networkaccesstrafficlogs
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
- e3b6a9e7-4c3a-45e6-8baf-1d3bfa8e0c2b
- Tagged by the source as
- CommandAndControlExfiltrationInitialAccess
Licence
- Published under
- MIT LicenseRead the licence
- Attribution
- Required
- Obtained under
- MITRead the origin licence
Authorship
- Published
- Sep 1, 2026
- Version
- 1