This detection targets adversaries utilizing the PackanoidArkanoid packing mechanism to obfuscate malicious payloads within executable files, thereby evading traditional signature-based defenses. Proactive hunting for this behavior in Azure Sentinel is essential to identify early-stage supply chain compromises or fileless attacks that may otherwise remain hidden until active exploitation occurs.
rule PackanoidArkanoid
{
meta:
author="malware-lu"
strings:
$a0 = { BF 00 10 40 00 BE [3] 00 E8 9D 00 00 00 B8 }
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 5 specific false positive scenarios for the PackanoidArkanoid detection rule, including suggested filters and exclusions tailored for an enterprise environment:
Scenario: Legitimate Deployment of Microsoft Office Updates via SCCM
ccmexec.exe) frequently downloads and executes Office update packages that utilize similar packing algorithms or manifest structures as the Packanoid malware family. When these updates are applied during maintenance windows, the YARA rule may flag the installer process as suspicious due to overlapping behavioral signatures.ParentProcessName is ccmexec.exe AND CommandLine contains keywords like “OfficeUpdate” or “ClickToRun”. Additionally, whitelist the specific file hash of the Office Click-to-Run installer (officeclicktorun.exe) if it matches known benign versions.Scenario: Automated Backup Jobs Using Veeam or Acronis
VeeamAgent.exe process may spawn child processes that exhibit file structures mimicking the Arkanoid variant, triggering a match on the YARA rule’s string patterns regarding archive headers.ProcessName is VeeamAgent.exe, VeeamBkpService.exe, or AcronisCyberProtect.exe. Furthermore, restrict the detection to only trigger if the file extension is .exe or .dll, excluding temporary archive files (e.g., .vbk, .tib) generated during backup windows.Scenario: Scheduled Antivirus Definition Updates via CrowdStrike Falcon