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Automating GOAD and Live Malware Labs
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Automating GOAD and Live Malware Labs
This technical guide demonstrates how to automate the deployment of a high-fidelity cybersecurity testing range by combining Ludus, an infrastructure-as-code orchestration tool, with Game of Active Directory (GOAD) and XZbot malware labs, all instrumented with Elastic Agent for comprehensive telemetry collection. The article provides step-by-step instructions for building a hybrid test environment that simulates modern attack vectors including identity-based attacks and supply-chain compromises, then validating detection rules and response workflows within Elastic's unified platform. Security practitioners can leverage the architecture to continuously validate and improve their detection and investigation capabilities against known-bad attacks executed in an isolated, safely contained environment.
Why it matters: Detection engineers and purple teams need a repeatable, automated way to validate that their detection rules actually catch real attacks; this guide eliminates manual lab setup bottlenecks and demonstrates how to correlate multi-stage attacks using security information and event management (SIEM) and artificial intelligence (AI)-driven automation, enabling continuous security validation rather than periodic testing.
- Source published
- First seen by Cybersecurity Tracker
Source attribution
Correction
Correction recorded as of .
research
Automating GOAD and Live Malware Labs
This technical guide demonstrates how to automate the deployment of a high-fidelity cybersecurity testing range by combining Ludus, an infrastructure-as-code orchestration tool, with Game of Active Directory (GOAD) and XZbot malware labs, all instrumented with Elastic Agent for comprehensive telemetry collection. The article provides step-by-step instructions for building a hybrid test environment that simulates modern attack vectors including identity-based attacks and supply-chain compromises, then validating detection rules and response workflows within Elastic's unified platform. Security practitioners can leverage the architecture to continuously validate and improve their detection and investigation capabilities against known-bad attacks executed in an isolated, safely contained environment.
Why it matters: Detection engineers and purple teams need a repeatable, automated way to validate that their detection rules actually catch real attacks; this guide eliminates manual lab setup bottlenecks and demonstrates how to correlate multi-stage attacks using security information and event management (SIEM) and artificial intelligence (AI)-driven automation, enabling continuous security validation rather than periodic testing.
- Source published
- First seen by Cybersecurity Tracker