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SeaDuke Malware - file 3eb86b7b067c296ef53e4857a74e09f12c2b84b666fc130d1f58aec18bc74b0d

yara HIGH Yara-Rules
community
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: 2026-06-04T11:00:00Z · Confidence: medium

Hunt Hypothesis

The detection identifies potential SeaDuke malware activity through the presence of a specific file hash, indicating an adversary may be executing malicious code to exfiltrate data or establish persistence. SOC teams should proactively hunt for this behavior in Azure Sentinel to detect and mitigate advanced threats before significant data loss or system compromise occurs.

YARA Rule

rule SeaDuke_Sample 
{

    meta:
        description = "SeaDuke Malware - file 3eb86b7b067c296ef53e4857a74e09f12c2b84b666fc130d1f58aec18bc74b0d"
        author = "Florian Roth"
        reference = "http://goo.gl/MJ0c2M"
        date = "2015-07-14"
        score = 70
        hash = "d2e570129a12a47231a1ecb8176fa88a1bf415c51dabd885c513d98b15f75d4e"

    strings:
        $s0 = "bpython27.dll" fullword ascii
        $s1 = "email.header(" fullword ascii /* PEStudio Blacklist: strings */
        $s2 = "LogonUI.exe" fullword wide /* PEStudio Blacklist: strings */
        $s3 = "Crypto.Cipher.AES(" fullword ascii /* PEStudio Blacklist: strings */
        $s4 = "mod is NULL - %s" fullword ascii

    condition:
        uint16(0) == 0x5a4d and filesize < 4000KB and all of them
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 5 string patterns in its detection logic.

References

False Positive Guidance

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