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FSGv120EngdulekxtBorlandDelphiBorlandC

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: 2026-08-14T11:00:00Z · Confidence: medium

Hunt Hypothesis

This detection identifies executable files compiled with Borland Delphi or C++ compilers using a specific YARA signature to uncover legacy or custom applications that may lack modern security controls. Proactively hunting for these artifacts in Azure Sentinel is essential to assess their risk posture and ensure they are not being leveraged by adversaries as trusted vectors for lateral movement or persistent access within the environment.

YARA Rule

rule FSGv120EngdulekxtBorlandDelphiBorlandC
{
      meta:
		author="malware-lu"
strings:
		$a0 = { 0F BE C1 EB 01 0E 8D 35 C3 BE B6 22 F7 D1 68 43 [2] 22 EB 02 B5 15 5F C1 F1 15 33 F7 80 E9 F9 BB F4 00 00 00 EB 02 8F D0 EB 02 08 AD 8A 16 2B C7 1B C7 80 C2 7A 41 80 EA 10 EB 01 3C 81 EA CF AE F1 AA EB 01 EC 81 EA BB C6 AB EE 2C E3 32 D3 0B CB 81 EA AB }

condition:
		$a0 at pe.entry_point
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 1 string patterns in its detection logic.

False Positive Guidance

Here are 4 specific false positive scenarios for the FSGv120EngdulekxtBorlandDelphiBorlandC detection rule, which identifies binaries compiled with Borland Delphi or C++ Builder. These scenarios reflect common legitimate enterprise activities that match the YARA signature.

Original source: https://github.com/Yara-Rules/rules/blob/main/packers/packer.yar