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Zlib Backdoor

yara LOW Yara-Rules
backdoorcommunity
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: 2026-06-01T11:00:01Z · Confidence: medium

Hunt Hypothesis

The Zlib Backdoor detection identifies potential adversary activity involving compressed malicious payloads, which may indicate the use of evasion techniques to bypass standard security controls. SOC teams should proactively hunt for this behavior in Azure Sentinel to detect and respond to advanced threats that leverage compression-based obfuscation.

YARA Rule

rule Zlib_Backdoor
{
   
    meta:
        author = "Cylance SPEAR Team"
        
        /* String
        C7 45 FC 00 04 00 00          mov     [ebp+Memory], 400h
        C6 45 D8 50                   mov     [ebp+Str], 'P'
        C6 45 D9 72                   mov     [ebp+var_27], 'r'
        C6 45 DA 6F                   mov     [ebp+var_26], 'o'
        C6 45 DB 78                   mov     [ebp+var_25], 'x'
        C6 45 DC 79                   mov     [ebp+var_24], 'y'
        C6 45 DD 2D                   mov     [ebp+var_23], '-'
        C6 45 DE 41                   mov     [ebp+var_22], 'A'
        C6 45 DF 75                   mov     [ebp+var_21], 'u'
        C6 45 E0 74                   mov     [ebp+var_20], 't'
        C6 45 E1 68                   mov     [ebp+var_1F], 'h'
        C6 45 E2 65                   mov     [ebp+var_1E], 'e'
        C6 45 E3 6E                   mov     [ebp+var_1D], 'n'
        C6 45 E4 74                   mov     [ebp+var_1C], 't'
        C6 45 E5 69                   mov     [ebp+var_1B], 'i'
        C6 45 E6 63                   mov     [ebp+var_1A], 'c'
        C6 45 E7 61                   mov     [ebp+var_19], 'a'
        C6 45 E8 74                   mov     [ebp+var_18], 't'
        C6 45 E9 65                   mov     [ebp+var_17], 'e'
        C6 45 EA 3A                   mov     [ebp+var_16], ':'
        C6 45 EB 20                   mov     [ebp+var_15], ' '
        C6 45 EC 4E                   mov     [ebp+var_14], 'N'
        C6 45 ED 54                   mov     [ebp+var_13], 'T'
        C6 45 EE 4C                   mov     [ebp+var_12], 'L'
        C6 45 EF 4D                   mov     [ebp+var_11], 'M'
        C6 45 F0 20                   mov     [ebp+var_10], ' '
        */


    strings:
        $auth = {C6 45 D8 50 C6 45 D9 72 C6 45 DA 6F C6 45 DB 78 C6 45 DC 79 C6 45 DD 2D}
        $auth2 = {C7 45 FC 00 04 00 00 C6 45 ?? 50 C6 45 ?? 72 C6 45 ?? 6F}
        $ntlm = "NTLM" wide
    
    condition:
        ($auth or $auth2) and $ntlm
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 3 string patterns in its detection logic.

False Positive Guidance

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