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Obsidium1311ObsidiumSoftware

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: 2026-08-30T11:00:00Z · 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. Proactively hunting for these signatures in Azure Sentinel allows the SOC team to distinguish between expected software usage and anomalous deployments that could indicate unauthorized tooling or early-stage adversary activity.

YARA Rule

rule Obsidium1311ObsidiumSoftware
{
      meta:
		author="malware-lu"
strings:
		$a0 = { EB 02 [2] E8 27 00 00 00 EB 02 [2] EB 03 [3] 8B 54 24 0C EB 01 ?? 83 82 B8 00 00 00 22 EB 04 [4] 33 C0 EB 01 ?? C3 EB 02 [2] EB 02 [2] 64 67 FF 36 00 00 EB 04 [4] 64 67 89 26 00 00 EB 01 ?? EB 03 [3] 50 EB 03 [3] 33 C0 EB 01 ?? 8B 00 EB 03 [3] C3 EB 01 ?? E9 FA 00 00 00 EB 03 [3] E8 D5 FF FF FF EB 01 ?? EB 03 [3] 58 EB 03 [3] EB 01 ?? 64 67 8F 06 00 00 EB 01 ?? 83 C4 04 EB 03 }

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 Obsidium1311ObsidiumSoftware detection rule, along with targeted filters and exclusions:

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