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Detects ELF obfuscation technique used by Sindoor dropper related to APT 36

yara HIGH signature-base
aptevasionflorian-roth
This rule was pulled from an open-source repository and enriched with AI. Validate in a test environment before deploying to production.
View original rule at signature-base →
Retrieved: 2026-08-02T11:00:00Z · Confidence: medium

Hunt Hypothesis

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.

YARA Rule

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*)
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 3 string patterns in its detection logic.

References

False Positive Guidance

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:

Original source: https://github.com/Neo23x0/signature-base/blob/main/yara/apt_apt36_operation_sindoor.yar