This detection identifies potential malicious activity associated with the “Frusionbiff” signature as defined by its specific YARA rule, which may indicate early-stage file-based threats or known malware variants within the environment. Proactively hunting for this behavior in Azure Sentinel allows the SOC team to validate low-severity alerts against actual threat intelligence and uncover hidden instances of Frusionbiff that might otherwise be missed during routine monitoring.
rule Frusionbiff
{
meta:
author="malware-lu"
strings:
$a0 = { 83 EC 0C 53 55 56 57 68 04 01 00 00 C7 44 24 14 }
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 Frusionbiff detection rule, including suggested filters and exclusions tailored for an enterprise environment:
Scenario: Automated Backup Agent Scanning
vbrservice.exe or rubrik-agent when it forks child processes to handle large file sets, triggering the Frusionbiff logic.vbrservice.exe, rubrik-agent.exe, and their parent processes (VeeamServiceHost) from the rule scope. Additionally, add a filter for processes running under the SYSTEM or dedicated service accounts (e.g., DOMAIN\BackupSvc).Scenario: Endpoint Detection & Response (EDR) Telemetry
falcon.exe, MsMpEng.exe). Configure the rule to suppress alerts if the executing user is a local system account (NT AUTHORITY\SYSTEM) and the file path resides within the agent’s installation directory (e.g., C:\Program Files\CrowdStrike\ or `C:\ProgramData\Microsoft\Windows Defender\