Back to results

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

Detections can measure how the public catalogue is used — which detections people look for, and which pages bring them here. It sets a cookie that recognises this browser for 180 days. It is never linked to an account and never follows you to other sites. Privacy notice