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Detects SLAPSTICK malware used by UNC2891

yara CRITICAL signature-base
florian-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: 2026-08-03T11:00:00Z · Confidence: medium

Hunt Hypothesis

This hunt hypothesis targets the presence of SLAPSTICK malware deployed by the UNC2891 advanced persistent threat group to identify early-stage compromise indicators within our environment. Proactively hunting for this signature in Azure Sentinel is essential due to its critical severity, enabling the SOC team to rapidly isolate affected assets and mitigate potential data exfiltration or lateral movement before broader network impact occurs.

YARA Rule

rule EXT_APT_UNC2891_SLAPSTICK {
   meta:
      author = "Mandiant"
      description = "Detects SLAPSTICK malware used by UNC2891"
      date = "2022-03-17"
      reference = "https://www.mandiant.com/resources/blog/unc2891-overview"
      score = 80
      id = "2e97b8cb-a86e-5be9-92dc-fd1474aa9547"
   strings:
      $ss1 = { 25 59 20 25 62 20 25 64 20 25 48 3a 25 4d 3a 25 53 20 20 20 20 00 }
      $ss2 = { 25 2d 32 33 73 20 25 2d 32 33 73 20 25 2d 32 33 73 00 }
      $ss3 = { 25 2d 32 33 73 20 25 2d 32 33 73 20 25 2d 32 33 73 20 25 2d 32 33 73 20 25 2d 32 33 73 20 25 73 0a 00 }
   condition:
      (uint32(0) == 0x464c457f) and all of them
}

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 SLAPSTICK detection rule (EXT_APT_UNC2891_SLAPSTICK), along with targeted filters and exclusions:

Original source: https://github.com/Neo23x0/signature-base/blob/main/yara/apt_unc2891_tinyshell_slapstick.yar