This hunt hypothesis targets adversaries employing ELF file obfuscation, a signature behavior of the Sindoor dropper associated with APT 36, to identify stealthy initial access attempts that may evade standard signature-based detection. Proactively hunting for this technique in Azure Sentinel is critical because it enables the SOC team to uncover sophisticated evasion tactics early, preventing potential lateral movement and data exfiltration before the threat fully establishes a foothold within the environment.
rule SUSP_LNX_Sindoor_DesktopFile_Aug25 {
meta:
description = "Detects ELF obfuscation technique used by Sindoor dropper related to APT 36"
author = "Pezier Pierre-Henri"
date = "2025-08-29"
score = 70
reference = "Internal Research"
hash = "9943bdf1b2a37434054b14a1a56a8e67aaa6a8b733ca785017d3ed8c1173ac59"
id = "16719116-0cb2-5c70-a86f-f65f9ea32153"
strings:
$hdr = "[Desktop Entry]"
$s1 = "printf '\\\\x7FELF' | dd of"
$s2 = "Future_Note_Warfare_OpSindoor.pdf"
condition:
filesize < 100KB
and $hdr
and any of ($s*)
}
This YARA rule can be deployed in the following contexts:
This rule contains 3 string patterns in its detection logic.
Here are 5 specific false positive scenarios for the “Detects ELF obfuscation technique used by Sindoor dropper related to APT 36” rule, including suggested filters and exclusions:
Scenario: Legitimate Software Deployment via SCCM/Intune
ccmsetup.exe or intunagent.exe creating temporary, packed ELF files that mimic the Sindoor dropper’s structure.ccmsetup.exe, Microsoft.IntuneManagementAgent.exe, or wsmantrc.exe. Additionally, filter out events where the file hash matches known good hashes in your CMDB (Configuration Management Database) for standard enterprise software versions.Scenario: Automated Backup and Archiving Jobs
VeeamBackupService, CommvaultAgent) during defined maintenance windows (e.g., 02:00–04:00). Filter based on the command line arguments containing keywords like “archive,” “backup,” or “.vbk” extensions.Scenario: Development and CI/CD Pipeline Artifacts