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Indicators for FTA-1020

yara LOW 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: 2026-07-13T11:00:00Z · Confidence: medium

Hunt Hypothesis

This hunt targets adversary behavior associated with FTA-1020 indicators to identify potential early-stage reconnaissance or lateral movement activities within the Azure environment. Proactive hunting is essential because the rule’s low severity may cause these subtle signals to be deprioritized in standard alert queues, risking delayed detection of evolving threats before they escalate into critical incidents.

YARA Rule

rule apt_win32_dll_rat_1a53b0cp32e46g0qio7
{
	meta:
		author = "https://www.fidelissecurity.com/"
        	info = "Indicators for FTA-1020"
		hash1 = "75d3d1f23628122a64a2f1b7ef33f5cf"
		hash2 = "d9821468315ccd3b9ea03161566ef18e"
		hash3 = "b9af5f5fd434a65d7aa1b55f5441c90a"
		reference = "https://github.com/fideliscyber"
	strings:
    	// Mozilla/5.0 (Windows NT 6.3; WOW64; Trident/7.0;rv:11.0) like Gecko
		$ = { c7 [2] 64 00 63 00 c7 [2] 69 00 62 00 c7 [2] 7a 00 7e 00 c7 [2] 2d 00 43 00 c7 [2] 59 00 2d 00 c7 [2] 3b 00 23 00 c7 [2] 3e 00 36 00 c7 [2] 2d 00 5a 00 c7 [2] 42 00 5a 00 c7 [2] 3b 00 39 00 c7 [2] 36 00 2d 00 c7 [2] 59 00 7f 00 c7 [2] 64 00 69 00 c7 [2] 68 00 63 00 c7 [2] 79 00 22 00 c7 [2] 3a 00 23 00 c7 [2] 3d 00 36 00 c7 [2] 2d 00 7f 00 c7 [2] 7b 00 37 00 c7 [2] 3c 00 3c 00 c7 [2] 23 00 3d 00 c7 [2] 24 00 2d 00 c7 [2] 61 00 64 00 c7 [2] 66 00 68 00 c7 [2] 2d 00 4a 00 c7 [2] 68 00 6e 00 c7 [2] 66 00 62 00 } // offset 10001566
	// Software\Microsoft\Windows\CurrentVersion\Run
       $ = { c7 [2] 23 00 24 00 c7 [2] 24 00 33 00 c7 [2] 38 00 22 00 c7 [2] 00 00 33 00 c7 [2] 24 00 25 00 c7 [2] 3f 00 39 00 c7 [2] 38 00 0a 00 c7 [2] 04 00 23 00 c7 [2] 38 00 00 00 c7 [2] 43 00 66 00 c7 [2] 6d 00 60 00 c7 [2] 67 00 52 00 c7 [2] 6e 00 63 00 c7 [2] 7b 00 67 00 c7 [2] 70 00 00 00 c7 [2] 43 00 4d 00 c7 [2] 44 00 00 00 c7 [2] 0f 00 43 00 c7 [2] 00 00 50 00 c7 [2] 49 00 4e 00 c7 [2] 47 00 00 00 c7 [2] 11 00 12 00 c7 [2] 17 00 0e 00 c7 [2] 10 00 0e 00 c7 [2] 10 00 0e 00 c7 [2] 11 00 06 00 c7 [2] 44 00 45 00 c7 [2] 4c 00 00 00 } // 10003D09
	$ = { 66 [4-7] 0d 40 83 f8 44 7c ?? }
       // xor		word ptr [ebp+eax*2+var_5C], 14h
	// inc		eax
	// cmp     	eax, 14h
       // Loop to decode a static string. It reveals the "1a53b0cp32e46g0qio9" static string sent in the beacon
	$ = { 66 [4-7] 14 40 83 f8 14 7c ?? } // 100017F0
	$ = { 66 [4-7] 56 40 83 f8 2d 7c ?? } // 10003621
	$ = { 66 [4-7] 20 40 83 f8 1a 7c ?? } // 10003640
	$ = { 80 [2-7] 2e 40 3d 50 02 00 00 72 ?? } //  10003930
	$ = "%08x%08x%08x%08x" wide ascii
	$ = "WinHttpGetIEProxyConfigForCurrentUser" wide ascii

	condition:
	(uint16(0) == 0x5A4D or uint32(0) == 0x4464c457f) and (all of them)
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

References

False Positive Guidance

Here are 4 specific false positive scenarios for the FTA-1020 detection rule within a legitimate enterprise environment, including suggested filters and exclusions:

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