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Obsidium1300ObsidiumSoftware

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: 2026-08-14T23:00:00Z · Confidence: medium

Hunt Hypothesis

This detection identifies the presence of Obsidium software components within the environment to establish a baseline for legitimate application behavior and potential supply chain risks. Proactive hunting is essential in Azure Sentinel to distinguish these known benign processes from anomalous activity that could indicate unauthorized deployment or early-stage compromise leveraging trusted software identities.

YARA Rule

rule Obsidium1300ObsidiumSoftware
{
      meta:
		author="malware-lu"
strings:
		$a0 = { EB 04 [4] E8 29 00 00 00 EB 02 [2] EB 01 ?? 8B 54 24 0C EB 02 [2] 83 82 B8 00 00 00 22 EB 02 [2] 33 C0 EB 04 [4] C3 EB 04 [4] EB 04 [4] 64 67 FF 36 00 00 EB 04 [4] 64 67 89 26 00 00 EB 04 [4] EB 01 ?? 50 EB 03 [3] 33 C0 EB 02 [2] 8B 00 EB 01 ?? C3 EB 04 [4] E9 FA 00 00 00 EB 01 ?? E8 D5 FF FF FF EB 02 [2] EB 03 [3] 58 EB 04 [4] EB 01 ?? 64 67 8F 06 00 00 EB 02 [2] 83 C4 04 EB 02 [2] E8 47 26 00 00 }

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 Obsidium1300ObsidiumSoftware detection rule, including context and recommended filtering strategies:

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