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xerusmsp / msp-py

A minimalistic and fast Python handler for requests to the MSP API.
Do What The F*ck You Want To Public License
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POC create movie - error Unauthorized #3

Closed Twace closed 1 year ago

Twace commented 1 year ago

hello, I'm trying to create movie with theses two methods MovieStarPlanet.MobileServices.AMFMovieService.CreateMovieWithSnapshot MovieStarPlanet.WebService.MovieService.AMFMovieService.SaveMovieWithSnapshot

but I got this error ErrorFault level=error code='Server.Processing' description='Unauthorized' 200

I used bytes from request directly to get objects like movie (+Scenes) (using fiddler classic and export to base64)

Thanks in advance for anyone that will take on his time to help me!

import datetime
from msp import invoke_method, get_session_id, ticket_header
from pyamf import remoting
import base64
USERNAME = "xx"
PASSWORD = "xx"
SERVER = "FR"

code, resp = invoke_method(
    SERVER,
    "MovieStarPlanet.WebService.User.AMFUserServiceWeb.Login",
    [
        USERNAME,
        PASSWORD,
        [],
        None,
        None,
        "MSP1-Standalone:XXXXXX"
    ],
    get_session_id()
)
ticket = resp['loginStatus']['ticket']
actor_id = resp['loginStatus']['actor']['ActorId']

# bytes in base64 from fiddler request with MovieStarPlanet.WebService.MovieService.AMFMovieService.SaveMovieWithSnapshot
# ticket is inside but I don't care about account 
str_base64 = "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"

base64_decoded = base64.b64decode(str_base64)
body_from_fiddler = remoting.decode(base64_decoded)["/1"].body

request_body = [ticket_header(ticket)]
request_body.extend(body_from_fiddler[1:])  # to replace ticket by yours
request_body[1]['CreatedDate'] = datetime.datetime.now()
print(request_body)

print("=====\nMethod: MovieStarPlanet.MobileServices.AMFMovieService.CreateMovieWithSnapshot")
unvalidatedName = "test"
isPublic = True
complexity = 4
actorClothesData = request_body[1]['ActorClothesData']
movieData = request_body[1]['MovieData']
participantActorIds = [actor_id]
snapshotSmall = request_body[2]
snapshotBig = request_body[3]
code, resp = invoke_method(
    SERVER,
    "MovieStarPlanet.MobileServices.AMFMovieService.CreateMovieWithSnapshot",
    [
        ticket_header(ticket),
        unvalidatedName,  # Str
        isPublic,  #  bool
        complexity,  #  int
        actorClothesData,  #  byte[]
        movieData,  # byte[]
        participantActorIds,  # int[]
        snapshotSmall,  # byte[]
        snapshotBig  # byte[]
    ],
    get_session_id()
)
print(resp, code)

print("=====\nMethod: MovieStarPlanet.WebService.MovieService.AMFMovieService.SaveMovieWithSnapshot")
# taking arguments :
# ticket : TicketHeader
# movie : Movie
# snapshotSmall : byte[]
# snapshotBig : byte[]
code, resp = invoke_method(
    SERVER,
    "MovieStarPlanet.WebService.MovieService.AMFMovieService.SaveMovieWithSnapshot",
    request_body,
    get_session_id()
)
print(resp, code)
Twace commented 1 year ago

Patched by removing "Referer": "app:/cache/t1.bin/[[DYNAMIC]]/2", line 116 in msp.py

but I got error 500. I think it's because there is something wrong in the checksum because of objects used

I tried to generate checksum by using the exact same request except header than in charles (no ticket replacement) and I got an different checksum value.