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detect Bebloh(a.k.a. URLZone) in memory

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: 2026-07-03T11:00:00Z · Confidence: medium

Hunt Hypothesis

This hunt targets adversaries leveraging the Bebloh (URLZone) browser extension to establish persistent footholds and exfiltrate sensitive data through legitimate web traffic channels within the Azure Sentinel environment. Proactive hunting is essential because this low-severity memory-based indicator often evades traditional signature-only defenses, requiring behavioral analysis to identify subtle compromise patterns before they escalate into significant data breaches.

YARA Rule

rule Bebloh {
          meta:
            description = "detect Bebloh(a.k.a. URLZone) in memory"
            author = "JPCERT/CC Incident Response Group"
            rule_usage = "memory scan"
            reference = "internal research"

          strings:
            $crc32f = { b8 EE 56 0b ca }
            $dga = "qwertyuiopasdfghjklzxcvbnm123945678"
            $post1 = "&vcmd="
            $post2 = "?tver="

          condition: all of them
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 4 string patterns in its detection logic.

References

False Positive Guidance

Here are 5 specific false positive scenarios for the detect Bebloh (a.k.a. URLZone) in memory rule, tailored for an enterprise environment:

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