← Back to SOC feed Coverage →

APT Derusbi DeepPanda

yara LOW Yara-Rules
aptcommunityderusbi_deeppanda
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: 2026-05-21T11:00:00Z · Confidence: medium

Hunt Hypothesis

The hypothesis is that the detection rule identifies potential indicators of the APT Derusbi/DeepPanda group by matching known malicious artifacts, which may indicate initial compromise or lateral movement within a network. SOC teams should proactively hunt for this behavior in Azure Sentinel to detect early-stage adversarial activity and prevent further exploitation in their environment.

YARA Rule

rule APT_Derusbi_DeepPanda
{

meta:
    author = "ThreatConnect Intelligence Research Team"
    reference = "http://www.crowdstrike.com/sites/default/files/AdversaryIntelligenceReport_DeepPanda_0.pdf"

strings:
    $D = "Dom4!nUserP4ss" wide ascii

condition:
    $D
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 1 string patterns in its detection logic.

References

False Positive Guidance

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