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Detects APT10 MenuPass Uppercut

yara LOW Yara-Rules
aptcommunityuppercut
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: 2026-06-05T23:00:00Z · Confidence: medium

Hunt Hypothesis

The hypothesis is that the detection rule identifies potential APT10 group activity through the use of the MenuPass Uppercut technique, which is associated with initial access and lateral movement. SOC teams should proactively hunt for this behavior in Azure Sentinel to identify and mitigate early-stage APT10 campaigns before they escalate to data exfiltration or system compromise.

YARA Rule

rule APT_Uppercut {
  meta:
     description = "Detects APT10 MenuPass Uppercut"
     author = "Colin Cowie"
     reference = "https://www.fireeye.com/blog/threat-research/2018/09/apt10-targeting-japanese-corporations-using-updated-ttps.html"
     date = "2018-09-13"
  strings:
     $ip1 = "51.106.53.147"
     $ip2 = "153.92.210.208"
     $ip3 = "eservake.jetos.com"
     $c1 = "0x97A168D9697D40DD" wide
     $c2 = "0x7CF812296CCC68D5" wide
     $c3 = "0x652CB1CEFF1C0A00" wide
     $c4 = "0x27595F1F74B55278" wide
     $c5 = "0xD290626C85FB1CE3" wide
     $c6 = "0x409C7A89CFF0A727" wide
  condition:
     any of them or
     hash.md5(0, filesize) == "aa3f303c3319b14b4829fe2faa5999c1" or
     hash.md5(0, filesize) == "126067d634d94c45084cbe1d9873d895" or
     hash.md5(0, filesize) == "fce54b4886cac5c61eda1e7605483ca3"
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 9 string patterns in its detection logic.

References

False Positive Guidance

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