blazingtools

Hunt Hypothesis

This detection identifies the execution of BlazingTools binaries, which adversaries often leverage to perform high-performance data analysis and exfiltrate sensitive information from cloud workloads. Proactively hunting for this behavior in Azure Sentinel is critical because legitimate usage can mask malicious activity, requiring analysts to distinguish between authorized administrative tasks and potential reconnaissance or data staging operations by threat actors.

YARA Rule

rule blazingtools
{
meta:
	author = "@patrickrolsen"
	reference = "Blazing Tools - http://www.blazingtools.com (Keyloggers)"
strings:
	$s1 = "blazingtools.com"
	$s2 = "Keystrokes" wide
	$s3 = "Screenshots" wide
condition:
	uint16(0) == 0x5A4D and all of ($s*)
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

• Microsoft Defender for Endpoint — Custom indicators / advanced hunting
• Email Gateway — Attachment scanning
• File Share Monitoring — Periodic scanning of shared drives
• YARA CLI — Manual threat hunting on endpoints

This rule contains 3 string patterns in its detection logic.

References

• Blazing Tools - http://www.blazingtools.com (Keyloggers)
• Source Rule

False Positive Guidance

Here are 5 specific false positive scenarios for the blazingtools detection rule in an enterprise environment, along with recommended filters or exclusions:

• Scheduled Database Performance Audits

  • Scenario: The nightly maintenance window triggers a scheduled job using BlazeMeter or JMeter (which often utilizes underlying Blaze libraries) to run load testing simulations against the production SQL cluster. These agents execute binary scans that match the blazingtools signature while generating high-volume telemetry data.
  • Filter/Exclusion: Exclude processes originating from the specific service account used for maintenance (e.g., svc_db_maint) running on designated “Load Testing” host groups, specifically when the parent process is a known scheduler like Windows Task Scheduler or Cron.

• DevOps Pipeline Artifact Analysis

  • Scenario: During the CI/CD deployment phase, the build server (e.g., Jenkins or GitLab Runner) executes static code analysis and dependency scanning using tools like Blaze-CLI to verify container image integrity before pushing to the registry. This activity generates legitimate file creation and execution events matching the rule’s logic.
  • Filter/Exclusion: Whitelist the specific build agent IP ranges (e.g., 10.x.y.z/24) and exclude alerts where the parent process is identified as a container orchestration runtime (e.g., containerd, dockerd) executing within the “CI-Pipeline” network segment.

• Enterprise Endpoint Security Scans

  • Scenario: The central endpoint protection platform, such as CrowdStrike Falcon or SentinelOne, performs a deep inspection of application binaries in the software repository. When scanning legacy applications that bundle blazingtools libraries for real-time log parsing, the EDR agent’s scanner process triggers the detection rule repeatedly