The purpose of this talk is to promote the adoption of better practices in the publication and demonstration of malware analyses. For various reasons, many popular analyses of malware do not contain information required for a peer analyst to replicate the research and verify results. This hurts analysts that wish to continue to work more in-depth on a sample, and reduces the value of such analyses to those who would otherwise be able to use them to learn reverse engineering and improve themselves personally. This paper and talk proposes that we borrow the concept of “executable research” by supplementing our written analysis with material designed to illustrate our analysis using the malware itself. Taking a step beyond traditional sandboxes to implement bespoke virtual environments and scripted instrumentation with commentary can supplement written reports in a way that makes the analysis of malware more sound and useful to others. As a case-study of this concept, an analysis of the recent high-profile point-of-sale malware, JackPOS is presented with enough information to replicate the analysis on the provided sample. A captured command-and-control server is included and Python-based harnesses are developed and presented that illustrate points of interest from the analysis by instrumenting the execution of the malware itself.