By Justin Seitz
Python is quick changing into the programming language of selection for hackers, opposite engineers, and software program testers simply because it is simple to jot down quick, and it has the low-level aid and libraries that make hackers chuffed. yet previously, there was no genuine handbook on easy methods to use Python for various hacking initiatives. You needed to dig via discussion board posts and guy pages, forever tweaking your personal code to get every little thing operating. no longer anymore.
Gray Hat Python explains the options at the back of hacking instruments and methods like debuggers, trojans, fuzzers, and emulators. yet writer Justin Seitz is going past thought, exhibiting you the way to harness current Python-based safeguard instruments - and the way to construct your personal while the pre-built ones will not reduce it.
You'll learn the way to:
- Automate tedious reversing and safety tasks
- Design and application your personal debugger
- Learn the best way to fuzz home windows drivers and create strong fuzzers from scratch
- Have enjoyable with code and library injection, delicate and tough hooking thoughts, and different software program trickery
- Sniff safe site visitors out of an encrypted internet browser session
- Use PyDBG, Immunity Debugger, Sulley, IDAPython, PyEMU, and more
The world's top hackers are utilizing Python to do their handiwork. will not you?
Read or Download Gray Hat Python: Python Programming for Hackers and Reverse Engineers PDF
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Additional info for Gray Hat Python: Python Programming for Hackers and Reverse Engineers
The home windows debugging API presents an effective way to do either. There are sophisticated changes among beginning a approach and attaching to a procedure. the benefit of beginning a approach is that you've got keep an eye on of the method ahead of it has an opportunity to run any code. this is often convenient whilst studying malware or different forms of malicious code. Attaching to a technique purely breaks into an already working technique, which lets you bypass the startup part of the code and study particular parts of code that you're attracted to. looking on the debugging goal and the research you're doing, it's your name on which method of use. the 1st approach to getting a procedure to run less than a debugger is to run the executable from the debugger itself. To create a approach in home windows, you name the CreateProcessA()[1] functionality. environment particular flags which are handed into this functionality immediately permits the method for debugging. A CreateProcessA() name seems like this: BOOL WINAPI CreateProcessA( LPCSTR lpApplicationName, LPTSTR lpCommandLine, LPSECURITY_ATTRIBUTES lpProcessAttributes, LPSECURITY_ATTRIBUTES lpThreadAttributes, BOOL bInheritHandles, DWORD dwCreationFlags, LPVOID lpEnvironment, LPCTSTR lpCurrentDirectory, LPSTARTUPINFO lpStartupInfo, LPPROCESS_INFORMATION lpProcessInformation ); in the beginning look this seems like a sophisticated name, yet, as in opposite engineering, we should holiday issues into smaller components to appreciate the large photograph. we'll deal in basic terms with the parameters which are vital for making a strategy lower than a debugger. those parameters are lpApplicationName, lpCommandLine, dwCreationFlags, lpStartupInfo, and lpProcessInformation. the remainder of the parameters should be set to NULL. For a whole clarification of this name, discuss with the Microsoft Developer community (MSDN) access. the 1st parameters are used for surroundings the trail to the executable we want to run and any command-line arguments it accepts. The dwCreationFlags parameter takes a distinct worth that shows that the method could be begun as a debugged strategy. The final parameters are tips to structs (STARTUPINFO[2] and PROCESS_INFORMATION,[3] respectively) that dictate how the method can be all started in addition to supply very important information about the method after it's been effectively began. Create new Python documents referred to as my_debugger. py and my_debugger_defines. py. we'll be making a mum or dad debugger() type the place we'll upload debugging performance piece by means of piece. furthermore, we are going to positioned all struct, union, and incessant values into my_debugger_defines. py for maintainability. my_debugger_defines. py my_debugger_defines. py from ctypes import * # Let's map the Microsoft varieties to ctypes for readability note = c_ushort DWORD = c_ulong LPBYTE = POINTER(c_ubyte) LPTSTR = POINTER(c_char) deal with = c_void_p # Constants DEBUG_PROCESS = 0x00000001 CREATE_NEW_CONSOLE = 0x00000010 # constructions for CreateProcessA() functionality classification STARTUPINFO(Structure): _fields_ = [ ("cb", DWORD), ("lpReserved", LPTSTR), ("lpDesktop", LPTSTR), ("lpTitle", LPTSTR), ("dwX", DWORD), ("dwY", DWORD), ("dwXSize", DWORD), ("dwYSize", DWORD), ("dwXCountChars", DWORD), ("dwYCountChars", DWORD), ("dwFillAttribute",DWORD), ("dwFlags", DWORD), ("wShowWindow", WORD), ("cbReserved2", WORD), ("lpReserved2", LPBYTE), ("hStdInput", HANDLE), ("hStdOutput", HANDLE), ("hStdError", HANDLE), ] type PROCESS_INFORMATION(Structure): _fields_ = [ ("hProcess", HANDLE), ("hThread", HANDLE), ("dwProcessId", DWORD), ("dwThreadId", DWORD), ] my_debugger.