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BlackShades 25052015

yara LOW Yara-Rules
blackshadescommunity
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: 2026-07-12T11:00:00Z · Confidence: medium

Hunt Hypothesis

This hunt targets adversaries leveraging the BlackShades RAT framework to establish persistent command-and-control channels within Azure workloads via signature-based detection. Proactively hunting for this specific YARA rule is critical because early identification of BlackShades activity allows the SOC team to isolate compromised endpoints before lateral movement or data exfiltration occurs, despite its current low severity classification.

YARA Rule

rule BlackShades_25052015
{
    meta:
        author = "Brian Wallace (@botnet_hunter)"
        date = "2014/04"
        ref = "http://malwareconfig.com/stats/PoisonIvy"
        ref = "http://blog.cylance.com/a-study-in-bots-blackshades-net"
        family = "blackshades"

    strings:
        $string1 = "bss_server"
        $string2 = "txtChat"
        $string3 = "UDPFlood"
    condition:
        all of them
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 3 string patterns in its detection logic.

False Positive Guidance

Here are 4 specific false positive scenarios for the BlackShades 25052015 detection rule in an enterprise environment, along with suggested filters:

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