This detection identifies potential malware or suspicious executables that utilize randomization in their file structure to evade static analysis and signature-based defenses. Proactively hunting for this behavior in Azure Sentinel allows the SOC team to uncover stealthy threats that may bypass standard AV solutions by analyzing YARA rule matches across endpoint telemetry before an incident escalates.
rule EXERefactorV01random
{
meta:
author="malware-lu"
strings:
$a0 = { 55 8B EC 81 EC 90 0B 00 00 53 56 57 E9 58 8C 01 00 55 53 43 41 54 49 4F 4E }
condition:
$a0 at pe.entry_point
}
This YARA rule can be deployed in the following contexts:
This rule contains 1 string patterns in its detection logic.
Here are 4 specific false positive scenarios for the EXERefactorV01random detection rule, including suggested filters and exclusions:
Scenario: Automated Build Pipeline Execution
.exe binaries during the build phase. These agents often generate temporary executables with randomized naming conventions (e.g., build_8f3a2.exe) in staging directories, which mimics the “random” behavior targeted by the rule.JenkinsService, GitLabRunner) and restrict detection to paths outside of build artifact folders such as C:\Builds\Staging or /var/lib/jenkins/workspace.Scenario: Endpoint Security Self-Defense Scans
C:\ProgramData\CrowdStrike\), triggering the rule when they refactor internal components.CrowdStrike Falcon Sensor, SentinelOne Agent) and exclude file paths containing keywords like Sandbox, Quarantine, or Temp.Scenario: Scheduled Software Deployment via Configuration Management