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Attackers rely upon a vast array of tools for automating attacksagainst vulnerable servers and services. It is often the case thatwhen vulnerabilities are disclosed, scripts for detecting and exploit-ing them in tools such asNmapandMetasploitare released soonafter, leading to the immediate identification and compromise ofvulnerable systems. Honeypots, honeynets, tarpits, and other decep-tive techniques can be used to slow attackers down, however, such approaches have difficulty keeping up with the sheer number of vulnerabilities being discovered and attacking scripts that are being released. To address this issue, this paper describes an approach for applying concolic execution on attacking scripts in Nmap in order to automatically generate lightweight fake versions of the vulnerable services that can fool the scripts. By doing so in an automated and scalable manner, the approach can enable rapid deployment of custom honeyfarms that leverage the results of concolic execution to trick an attacker's script into returning a result chosen by the honeyfarm, making the script unreliable for the use by the attacker. 

Symbolic execution is an essential tool in modern program analysis and vulnerability discovery. The technique is used to both find and fix vulnerabilities as well as to identify and exploit them. In order to ensure that symbolic execution tools are used more for the former, rather than the latter, we describe a curriculum and a set of scaffolded, polymorphic, “capture-the-flag” (CTF) exercises that have been developed to help students learn and utilize the technique to help ensure the software they produce is secure.