This detection identifies anomalous interactions with the PubSub service that may indicate an adversary attempting to establish covert command and control channels or exfiltrate data through message queues. Proactively hunting for these patterns in Azure Sentinel is critical because low-severity PubSub activities often serve as a stealthy precursor to more significant lateral movement, allowing analysts to intervene before the threat escalates.
rule PubSab : Family
{
meta:
description = "PubSab"
author = "Seth Hardy"
last_modified = "2014-06-19"
condition:
PubSabCode or PubSabStrings
}
This YARA rule can be deployed in the following contexts:
Here are 4 specific false positive scenarios for the PubSub detection rule in an enterprise environment, including suggested filters and exclusions:
Scheduled Data Pipeline Backups via Cloud Functions
prod-data-lake-backup) as part of an ETL process orchestrated by Apache Airflow. These high-volume, predictable spikes often mimic the behavior of anomalous data exfiltration.[email protected]) and restrict alerts to non-business hours (02:00–05:00 UTC) for this specific topic name pattern (*backup*, *etl-*).CI/CD Pipeline Artifact Notifications
ci-cd-build-notifications) upon successful deployment. This generates a high frequency of small, structured JSON messages that can trigger volume-based thresholds intended for detecting unusual data movement.X-Jenkins-Run-ID or Content-Type: application/vnd.gitlab.artifact). Additionally, exclude topics matching the regex ^ci-cd-*.Enterprise Directory Synchronization (LDAP to Cloud)