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Mini Duke Implant by APT29

yara CRITICAL Yara-Rules
aptcommunity
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 Yara-Rules →
Retrieved: 2026-05-26T11:00:01Z · Confidence: medium

Hunt Hypothesis

The Mini Duke Implant by APT29 is a high-impact adversary behavior that indicates a persistent, stealthy compromise, often used for long-term data exfiltration and command and control. SOC teams should proactively hunt for this behavior in Azure Sentinel to identify and mitigate advanced persistent threats before significant data loss occurs.

YARA Rule

rule IMPLANT_11_v12 {
   meta:
      description = "Mini Duke Implant by APT29"
      author = "US CERT"
      reference = "https://www.us-cert.gov/ncas/current-activity/2017/02/10/Enhanced-Analysis-GRIZZLY-STEPPE"
      date = "2017-02-10"
      score = 85
   strings:
      $STR1 = {63 74 00 00} // ct
      $STR2 = {72 6F 74 65} // rote
      $STR3 = {75 61 6C 50} // triV
      $STR4 = {56 69 72 74} // Plau
      $STR5 = { e8 00 00 00 00 }
      $STR6 = { 64 FF 35 00 00 00 00 }
      $STR7 = {D2 C0}
      $STR8 = /\x63\x74\x00\x00.{3,20}\x72\x6F\x74\x65.{3,20}\x75\x61\x6C\x50.{3,20}\x56\x69\x72\x74/
   condition:
      (uint16(0) == 0x5A4D) and #STR5 > 4 and all of them
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 8 string patterns in its detection logic.

References

False Positive Guidance

Original source: https://github.com/Yara-Rules/rules/blob/main/malware/APT_Grizzlybear_uscert.yar