Computer and network security professionals are confronted on a daily basis with the issues of testing the reality of perceived problems and suggesting fixes with high applicability potential. Such issues are particularly difficult in wireless environments since the measures are not of binary nature but depend on the capacity to detect effectively WiFi networks, access points and other radio equipments. There is always the chance of missing a radio equipment or not having good and accurate measurements. We propose in this paper to automate several critical parts of the wireless network security audit using pervasive and inexpensive platforms and thus to free more time to focus on the applicability of the fix, and even the verification of the application of the Fix. HostileWRT aims at automating scanning and cracking in wireless environment and improving results using different behaviours depending on the goal of the auditor. By using an hostile approach, we want to prove that its not possible to fully audit a wireless environment without taking in account the several different kinds of vulnerabilities that affect both the infrastructure and the end-users.