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Cerber3

yara LOW Yara-Rules
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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: 2026-07-10T23:00:00Z · Confidence: medium

Hunt Hypothesis

This detection rule identifies potential reconnaissance or lateral movement activities where adversaries attempt to establish persistent access points within the Azure environment. Proactively hunting for this behavior is essential because early identification of these low-severity signals allows the SOC team to correlate them with broader attack chains before they escalate into critical incidents.

YARA Rule

rule cerber3{
meta:
  author = "pekeinfo"
  date = "2016-09-09"
  description = "Cerber3 "
strings:
  $a = {00 6A 00 68 80 00 00 00 6A 03 6A 00 6A 03 6A  01 8B 85}
  $b = {68 3B DB 00 00 ?? ?? ?? ?? 00 ?? FF 15}
  
condition:
  1 of them 
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 2 string patterns in its detection logic.

False Positive Guidance

Here are 4 specific false positive scenarios for the Cerber3 detection rule in an enterprise environment, including suggested filters and exclusions:

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