PAZ Unpacker menu

User Tag List

Thread: PAZ Unpacker

Results 1 to 4 of 4
  1. #1
    Veritable's Avatar OwnedCore News Correspondent
    Reputation
    326
    Join Date
    Apr 2007
    Posts
    372
    Thanks G/R
    52/123
    Trade Feedback
    0 (0%)
    Mentioned
    0 Post(s)
    Tagged
    0 Thread(s)

    PAZ Unpacker

    So apparently the guy who originally made the PAZ Unpacker for the game is not allowed to publicly do anything with it anymore, and he removed all of his code. So here's the question. There is a QuickBMS script in python that someone made to extract / unzip the PAZ files (the data files) into folders and such, but the difficulty is that no one seems to be publicly keeping up with the updates.

    Now I doubt that the NA/EU version will have anything really until launch or at earliest next CBT2, but... how about the RU version that's out right now?

    This is the latest version of the QuickBMS script that I can find:
    Code:
    # Black Desert (script 0.2)#   super thanks to Ekey
    #   http://forum.xentax.com/viewtopic.php?f=10&t=10879
    # script for QuickBMS http://quickbms.aluigi.org
    
    # set the following to 1 for extracting the old archives
    math OLD_ENCRYPTION = 0
    
    quickbmsver "0.6.1"
    comtype blackdesert
    set KEY binary "\xF3\xA1\x0D\xF2\x47\xCC\x30\xC5\xEB\x11\x12\xAE\x07\x01\x52\x13"
    
    set MEMORY_FILE5 compressed "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***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***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****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"
    calldll MEMORY_FILE5 "CryptInit" "stdcall" RET 0
    
    get EXT extension
    
    if EXT == "meta"
    
        # pre-allocation, improves speed (doesn't matter if the values are bigger)
        putarray 0 0x2b30 ""    # PAZs
        putarray 1 0x66c ""     # folders
        putarray 2 0x4dba6 ""   # files
    
        get DUMMY long
        get pPAZCount long
        for i = 0 < pPAZCount
            get PAZ_NUM long
            get HASH long
            get PAZ_SIZE long
            string PAZ_NAME p= "PAD%05d.PAZ" PAZ_NUM
            putarray 0 PAZ_NUM PAZ_NAME
        next i
    
        get FILES long
    
        savepos OFFSET
        xmath TMP "OFFSET + (FILES * 0x1c)"
        goto TMP
    
        get FOLDERS_SIZE long
        savepos TMP
        math TMP_SIZE = FOLDERS_SIZE
        callfunction SET_ENCRYPTION 1
        log MEMORY_FILE TMP FOLDERS_SIZE
        encryption "" ""
    
        math TMP += FOLDERS_SIZE
        goto TMP
    
        get NAMES_SIZE long
        savepos TMP
        math TMP_SIZE = NAMES_SIZE
        callfunction SET_ENCRYPTION 1
        log MEMORY_FILE2 TMP NAMES_SIZE
        encryption "" ""
    
        #print "collect folder names..."
        math FOLDERS_SIZE -= 8  # lame
        math i = 0
        for TMP = 0 < FOLDERS_SIZE
            get INDEX_NUM long MEMORY_FILE
            get SUB_FOLDERS long MEMORY_FILE
            get NAME string MEMORY_FILE
            if NAME == ""
                break
            endif
            putarray 1 i NAME
            savepos TMP MEMORY_FILE
        next i
    
        #print "collect file names..."
        math i = 0
        for TMP = 0 < NAMES_SIZE
            get NAME string MEMORY_FILE2
            if NAME == ""
                break
            endif
            putarray 2 i NAME
            savepos TMP MEMORY_FILE2
        next i
    
        goto OFFSET
        for i = 0 < FILES
            get HASH long
            get FOLDER_NUM long # 48c
            get FILE_NUM long   # 9ea5 e18d
            get PAZ_NUM long    # 9ec c20
            get OFFSET long     # 4603c 261cc
            get ZSIZE long      # 4a70 1970
            get SIZE long       # 5f13 2000
    
            getarray PAZ_NAME 0 PAZ_NUM
            getarray NAME 1 FOLDER_NUM
            getarray TMP 2 FILE_NUM
            string NAME += TMP
    
            open FDSE PAZ_NAME 1
    
            math TMP_SIZE = ZSIZE
            callfunction SET_ENCRYPTION 1
            clog NAME OFFSET ZSIZE SIZE 1
            encryption "" ""
        next i
    
    else    # PAZ
    
        get DUMMY long
        get PAZ_FILES long
        get NAMES_SIZE long
    
        savepos OFFSET
        xmath OFFSET "OFFSET + (PAZ_FILES * 4 * 6)"
        math TMP_SIZE = NAMES_SIZE
        callfunction SET_ENCRYPTION 1
        log MEMORY_FILE OFFSET NAMES_SIZE
        encryption "" ""
    
        math i = 0
        for TMP = 0 < NAMES_SIZE
            get NAME string MEMORY_FILE
            if NAME == ""
                break
            endif
            putarray 0 i NAME
            savepos TMP MEMORY_FILE
        next i
    
        for i = 0 < PAZ_FILES
            get HASH long
            get FOLDER_NUM long
            get FILE_NUM long
            get OFFSET long
            get ZSIZE long
            get SIZE long
    
            getarray NAME 0 FOLDER_NUM
            getarray TMP 0 FILE_NUM
            string NAME += TMP
    
            math TMP_SIZE = ZSIZE
            callfunction SET_ENCRYPTION 1
            clog NAME OFFSET ZSIZE SIZE
            encryption "" ""
        next i
    
    endif
    
    startfunction SET_ENCRYPTION
        # old encryption
        if OLD_ENCRYPTION != 0
            encryption aes_128_cbc KEY "" 0 16
        else
            encryption calldll "MEMORY_FILE5 Decrypt stdcall RET #INPUT# TMP_SIZE"
        endif endfunction
    Now the problem is, that every time they do a patch, they change the crypt key and it just fails as soon as it hits an encrypted file (Which is immediately). So all someone really has to do, is figure out the crypt key for the different versions, and unfortunately, all the database sites that exist are off it's not funny.

    Now the crappy part, is I am so bad at anything beyond simple memory switches, I am not the best reverse engineer. So I am going to leave this up to someone more experienced, because I highly doubt that I could do it in any timely fashion ;s

    Is there anyone out there that is willing to help out? I even got a hold of a PAZUnpacker really awesome UI'd program, that is out of date as well, but it would be so sweet. It has a dll that looks like a C# file, so it MIGHT be possible to take what is needed out of it and re-use it in a republishing of the app. I found one entire site that had it, all of the other ones have been removed, and there's no source code for it ;s

    PAZ Unpacker
  2. #2
    R3peat's Avatar Site Donator while(true) CoreCoins Purchaser
    Reputation
    190
    Join Date
    Aug 2012
    Posts
    424
    Thanks G/R
    0/132
    Trade Feedback
    69 (99%)
    Mentioned
    0 Post(s)
    Tagged
    0 Thread(s)
    Mhh I have the UI version of the unpacker as well. I will check this when I got some time

  3. #3
    Ehnoah's Avatar Elite User
    Reputation
    398
    Join Date
    Sep 2006
    Posts
    1,027
    Thanks G/R
    16/96
    Trade Feedback
    6 (100%)
    Mentioned
    1 Post(s)
    Tagged
    0 Thread(s)
    the UI Version work fine on all Versions at least for me.

  4. #4
    Veritable's Avatar OwnedCore News Correspondent
    Reputation
    326
    Join Date
    Apr 2007
    Posts
    372
    Thanks G/R
    52/123
    Trade Feedback
    0 (0%)
    Mentioned
    0 Post(s)
    Tagged
    0 Thread(s)
    Really? Hmmmm maybe I just got a wrong version. Since the others have been all taken down at this point. Can anyone share a link to the one that works?

Similar Threads

  1. Unpack eso.live.1.0.0.709717
    By blar0 in forum Elder Scrolls Online General
    Replies: 8
    Last Post: 08-02-2014, 05:20 AM
  2. [ESO] Unpacked binaries
    By JuJuBoSc in forum Elder Scrolls Online Memory Editing
    Replies: 4
    Last Post: 04-15-2014, 06:16 AM
  3. unpacking .mpq files and running wow
    By danielrhodea in forum WoW ME Questions and Requests
    Replies: 10
    Last Post: 04-21-2010, 05:23 PM
  4. Wowemuhacker 4.3 Beta 4 [UNPACKED] !!
    By robotkid in forum WoW Memory Editing
    Replies: 18
    Last Post: 03-04-2008, 03:44 PM
  5. Unpacked The Warden <
    By zhPaul in forum World of Warcraft Bots and Programs
    Replies: 45
    Last Post: 10-13-2006, 05:52 AM
All times are GMT -5. The time now is 03:53 PM. Powered by vBulletin® Version 4.2.3
Copyright © 2024 vBulletin Solutions, Inc. All rights reserved. User Alert System provided by Advanced User Tagging (Pro) - vBulletin Mods & Addons Copyright © 2024 DragonByte Technologies Ltd.
Digital Point modules: Sphinx-based search