Friday, May 22, 2020

CLOUDKiLL3R - Bypasses Cloudflare Protection Service Via TOR Browser


CLOUDKiLL3R bypasses Cloudflare protection service via TOR Browser !

CLOUDKiLL3R Requirements :
  • TOR Browser to scan as many sites as you want :)
  • Python Compiler

CLOUDKiLL3R Installation ?
Make sure that TOR Browser is up and running while working with CLOUDKiLL3R .
Make sure that the IP AND PORT are the same in TOR Browser preferences > advanced > Networks
Include the files below in one folder :
  • FILTER.txt
  • CK.pl
Make Sure The Modules Below Are Installed If NOT > use this command to install one : pip install [module name]
  • argparse
  • socks
  • socket
  • requests
  • sys

Contact :
Twitter.com/moh_security


More articles


Removing Windows OS Passwords With CHNTPW On Kali Linux



After Some Requests, I made this tutorial on How to Remove Windows Passwords
So First of all lets' see which tool we are going to use

[UPDATE] If you are having any kinda problem with this method on windows 8/8.1 then try this method
If you want to recover Windows 8/8.1 passwords instead of removing them see this tutorial
Tool Name:- chntpw
Tool Description: Obviously its' going to be what the man page of tool says: "chntpw is a utility to view some information and change user passwords in a Windows NT/2000 SAM userdatabase file,  usually  located  at  \WINDOWS\system32\config\SAM on the  Windows file system. It is not necessary to know the old passwords to reset them.  In addition it contains a simple registry editor  (same  size  data writes) and hex-editor with which the information contained in a registry file can be browsed and modified."

Attack Requirements:
1. Physical Access to victims Computer.
2. A live bootable pendrive of Kali Linux.

    (Download Kali Linux)

So Lets' get started:
Step 1: Mounting the drive containing Windows OS-> This one is easy ain't it? Well so that you might not have forgotten how to do it, I'll type the syntax:
ntfs-3g /dev/sda1 /media/win
Note that 'sda1' in above command is the partition on which Windows OS is installed yours can be different. To check yours simply type fdisk -l which will list your all partitions and then check by yourself on which partition your Windows OS is installed. If you can't get it this way then don't worry I'm still here well then you can try doing it in 'GUI' way. Click on Applications > Accessories > Disk Utility then select victims' hard disk and see on which partition Windows OS is installed. If Windows Partition is installed on any other partition then replace 'sda1' in the above command with that which you found e,g 'sda2''. Also note that if there is no such directory as 'win' (mentioned in above command) in your /media folder then you must create one which is simple just type mkdir /media/win this command will make win folder in media folder on which you'll mount victim's Windows OS (It is not necessary that it's name be 'win' you can use any name).
Step 2: OK after successfully mounting Victim's Windows OS now you need to move there but wait not only there instead very much deep in there. You need to move to config folder which is located in System32 folder (Note that it is Capital 'S' in windows 7 & 8). You can move there using this command:-
cd /media/win/Windows/System32/config/ (On Windows 7 & 8)
or
cd /media/win/WINDOWS/system32/config/ (On Windows XP and those before it)
Step 3: Now is the most tough part of game (only if tough means easy :) ). Now as when you are inside the config directory type the following command to see the list of users available on Victim's Machine:
chntpw -l SAM (remember it is ell not 1)

note the name of user whose password you want to clear.
Step 4: Oh man our happy journey is coming to an end now. Follow the upcoming steps to blast Victim's Windows OS password:
type the command:
chntpw -u <username> SAM

Note: <username> here is the name of user you noted in the above step.
it will display different options before you.
type 1 and hit enter
type y and hit enter


Voola you busted Victim's password now turn off Kali and Open Victim's Windows OS without knowing His/Her Password. Bad Bad Bad...

For More Info on chntpw type this in your terminal:
man chntpw
This will display Manual Page of chntpw...

Happy Cracking... :)
Don't forget to read the Disclaimer

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Thursday, May 21, 2020

Wafw00F: The Web Application Firewall Fingerprinting Tool

How does wafw00f work?
   To do its magic, WAFW00F does the following steps:
  • Sends a normal HTTP request and analyses the response; this identifies a number of WAF solutions.
  • If that is not successful, wafw00f sends a number of (potentially malicious) HTTP requests and uses simple logic to deduce which WAF it is.
  • If that is also not successful, wafw00f analyses the responses previously returned and uses another simple algorithm to guess if a WAF or security solution is actively responding to wafw00f's attacks.

   For further details, check out the source code on EnableSecurity's main repository.

What does it detect? WAFW00F can detect a number of firewalls, a list of which is as below:

wafw00f's installation
   If you're using Debian-based distro, enter this commands to install wafw00f: sudo apt update && sudo apt install wafw00f

   But if you're using another Linux distro, enter these commands to install wafw00f:

How to use wafw00f?
   The basic usage is to pass an URL as an argument. Example:

Final Words to you
   Questions? Pull up an issue on GitHub Issue Tracker or contact to EnableSecurity.
   Pull requests, ideas and issues are highly welcome. If you wish to see how WAFW00F is being developed, check out the development board.

   Some useful links:

   Presently being developed and maintained by:

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Wednesday, May 20, 2020

Wirelurker For OSX, iOS (Part I) And Windows (Part II) Samples


PART II

Wirelurker for Windows (WinLurker)

Research: Palo Alto Claud Xiao: Wirelurker for Windows

Sample credit: Claud Xiao



PART I


Research: Palo Alto Claud Xiao WIRELURKER: A New Era in iOS and OS X Malware

Palo Alto |Claud Xiao - blog post Wirelurker

Wirelurker Detector https://github.com/PaloAltoNetworks-BD/WireLurkerDetector


Sample credit: Claud Xiao


Download

Download Part I
Download Part II

Email me if you need the password




List of files
List of hashes 

Part II

s+«sìÜ 3.4.1.dmg 925cc497f207ec4dbcf8198a1b785dbd
apps.ipa 54d27da968c05d463ad3168285ec6097
WhatsAppMessenger 2.11.7.exe eca91fa7e7350a4d2880d341866adf35
使用说明.txt 3506a0c0199ed747b699ade765c0d0f8
libxml2.dll c86bebc3d50d7964378c15b27b1c2caa
libiconv-2_.dll 9c8170dc4a33631881120a467dc3e8f7
msvcr100.dll bf38660a9125935658cfa3e53fdc7d65
libz_.dll bd3d1f0a3eff8c4dd1e993f57185be75
mfc100u.dll f841f32ad816dbf130f10d86fab99b1a

zlib1.dll c7d4d685a0af2a09cbc21cb474358595


│   apps.ipa
│   σ╛«σìÜ 3.4.1.dmg

└───WhatsAppMessenger 2.11.7
            libiconv-2_.dll
            libxml2.dll
            libz_.dll
            mfc100u.dll
            msvcr100.dll
            WhatsAppMessenger 2.11.7.exe
            zlib1.dll
            使用说明.txt


Part I

BikeBaron 15e8728b410bfffde8d54651a6efd162
CleanApp c9841e34da270d94b35ae3f724160d5e
com.apple.MailServiceAgentHelper dca13b4ff64bcd6876c13bbb4a22f450
com.apple.appstore.PluginHelper c4264b9607a68de8b9bbbe30436f5f28
com.apple.appstore.plughelper.plist 94a933c449948514a3ce634663f9ccf8
com.apple.globalupdate.plist f92640bed6078075b508c9ffaa7f0a78
com.apple.globalupdate.plist f92640bed6078075b508c9ffaa7f0a78
com.apple.itunesupdate.plist 83317c311caa225b17ac14d3d504387d
com.apple.machook_damon.plist 6507f0c41663f6d08f497ab41893d8d9
com.apple.machook_damon.plist 6507f0c41663f6d08f497ab41893d8d9
com.apple.MailServiceAgentHelper.plist e6e6a7845b4e00806da7d5e264eed72b
com.apple.periodic-dd-mm-yy.plist bda470f4568dae8cb12344a346a181d9
com.apple.systemkeychain-helper.plist fd7b1215f03ed1221065ee4508d41de3
com.apple.watchproc.plist af772d9cca45a13ca323f90e7d874c2c
FontMap1.cfg 204b4836a9944d0f19d6df8af3c009d5
foundation 0ff51cd5fe0f88f02213d6612b007a45
globalupdate 9037cf29ed485dae11e22955724a00e7
globalupdate 9037cf29ed485dae11e22955724a00e7
itunesupdate a8dfbd54da805d3c52afc521ab7b354b
libcrypto.1.0.0.dylib 4c5384d667215098badb4e850890127b
libcrypto.1.0.0.dylib 3b533eeb80ee14191893e9a73c017445
libiconv.2.dylib 94f9882f5db1883e7295b44c440eb44c
libiconv.2.dylib fac8ef9dabdb92806ea9b1fde43ad746
libimobiledevice.4.dylib c596adb32c143430240abbf5aff02bc0
libimobiledevice.4.dylib 5b0412e19ec0af5ce375b8ab5a0bc5db
libiodb.dylib bc3aa0142fb15ea65de7833d65a70e36
liblzma.5.dylib 5bdfd2a20123e0893ef59bd813b24105
liblzma.5.dylib 9ebf9c0d25e418c8d0bed2a335aac8bf
libplist.2.dylib 903cbde833c91b197283698b2400fc9b
libplist.2.dylib 109a09389abef9a9388de08f7021b4cf
libssl.1.0.0.dylib 49b937c9ff30a68a0f663828be7ea704
libssl.1.0.0.dylib ab09435c0358b102a5d08f34aae3c244
libusbmuxd.2.dylib e8e0663c7c9d843e0030b15e59eb6f52
libusbmuxd.2.dylib 9efb552097cf4a408ea3bab4aa2bc957
libxml2.2.dylib 34f14463f28d11bd0299f0d7a3985718
libxml2.2.dylib 95506f9240efb416443fcd6d82a024b9
libz.1.dylib 28ef588ba7919f751ae40719cf5cffc6
libz.1.dylib f2b19c7a58e303f0a159a44d08c6df63
libzip.2.dylib 2a42736c8eae3a4915bced2c6df50397
machook 5b43df4fac4cac52412126a6c604853c
machook ecb429951985837513fdf854e49d0682
periodicdate aa6fe189baa355a65e6aafac1e765f41
pphelper 2b79534f22a89f73d4bb45848659b59b
sfbase.dylib bc3aa0142fb15ea65de7833d65a70e36
sfbase.dylib bc3aa0142fb15ea65de7833d65a70e36
sfbase_v4000.dylib 582fcd682f0f520e95af1d0713639864
sfbase_v4001.dylib e40de392c613cd2f9e1e93c6ffd05246
start e3a61139735301b866d8d109d715f102
start e3a61139735301b866d8d109d715f102
start.sh 3fa4e5fec53dfc9fc88ced651aa858c6
stty5.11.pl dea26a823839b1b3a810d5e731d76aa2
stty5.11.pl dea26a823839b1b3a810d5e731d76aa2
systemkeychain-helper e03402006332a6e17c36e569178d2097
watch.sh 358c48414219fdbbbbcff90c97295dff
WatchProc a72fdbacfd5be14631437d0ab21ff960
7b9e685e89b8c7e11f554b05cdd6819a 7b9e685e89b8c7e11f554b05cdd6819a
update 93658b52b0f538c4f3e17fdf3860778c
start.sh 9adfd4344092826ca39bbc441a9eb96f

File listing

├───databases
│       foundation
├───dropped
│   ├───version_A
│   │   │   com.apple.globalupdate.plist
│   │   │   com.apple.machook_damon.plist
│   │   │   globalupdate
│   │   │   machook
│   │   │   sfbase.dylib
│   │   │   watch.sh
│   │   │
│   │   ├───dylib
│   │   │       libcrypto.1.0.0.dylib
│   │   │       libiconv.2.dylib
│   │   │       libimobiledevice.4.dylib
│   │   │       liblzma.5.dylib
│   │   │       libplist.2.dylib
│   │   │       libssl.1.0.0.dylib
│   │   │       libusbmuxd.2.dylib
│   │   │       libxml2.2.dylib
│   │   │       libz.1.dylib
│   │   │
│   │   ├───log
│   │   └───update
│   ├───version_B
│   │       com.apple.globalupdate.plist
│   │       com.apple.itunesupdate.plist
│   │       com.apple.machook_damon.plist
│   │       com.apple.watchproc.plist
│   │       globalupdate
│   │       itunesupdate
│   │       machook
│   │       start
│   │       WatchProc
│   │
│   └───version_C
│       │   com.apple.appstore.plughelper.plist
│       │   com.apple.appstore.PluginHelper
│       │   com.apple.MailServiceAgentHelper
│       │   com.apple.MailServiceAgentHelper.plist
│       │   com.apple.periodic-dd-mm-yy.plist
│       │   com.apple.systemkeychain-helper.plist
│       │   periodicdate
│       │   stty5.11.pl
│       │   systemkeychain-helper
│       │
│       └───manpath.d
│               libcrypto.1.0.0.dylib
│               libiconv.2.dylib
│               libimobiledevice.4.dylib
│               libiodb.dylib
│               liblzma.5.dylib
│               libplist.2.dylib
│               libssl.1.0.0.dylib
│               libusbmuxd.2.dylib
│               libxml2.2.dylib
│               libz.1.dylib
│               libzip.2.dylib
├───iOS
│       sfbase.dylib
│       sfbase_v4000.dylib
│       sfbase_v4001.dylib
│       start
│       stty5.11.pl
├───IPAs
│       7b9e685e89b8c7e11f554b05cdd6819a
│       pphelper
├───original
│       BikeBaron
│       CleanApp
│       FontMap1.cfg
│       start.sh
└───update
        start.sh
        update

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Tuesday, May 19, 2020

Hacking Everything With RF And Software Defined Radio - Part 3


Reversing Device Signals with RFCrack for Red Teaming


This blog was researched and automated by:
@Ficti0n 
@GarrGhar 
Mostly because someone didn't want to pay for a new clicker that was lost LOL

Websites:
Console Cowboys: http://consolecowboys.com 
CC Labs: http://cclabs.io

CC Labs Github for RFCrack Code:
https://github.com/cclabsInc/RFCrack


Contrived Scenario: 

Bob was tasked to break into XYZ  corporation, so he pulled up the facility on google maps to see what the layout was. He was looking for any possible entry paths into the company headquarters. Online maps showed that the whole facility was surrounded by a security access gate. Not much else could be determined remotely so bob decided to take a drive to the facility and get a closer look. 

Bob parked down the street in view of the entry gate. Upon arrival he noted the gate was un-manned and cars were rolling up to the gate typing in an access code or simply driving up to the gate as it opening automatically.  Interestingly there was some kind of wireless technology in use. 

How do we go from watching a car go through a gate, to having a physical device that opens the gate?  

We will take a look at reversing a signal from an actual gate to program a remote with the proper RF signal.  Learning how to perform these steps manually to get a better understanding of how RF remotes work in conjunction with automating processes with RFCrack. 

Items used in this blog: 

Garage Remote Clicker: https://goo.gl/7fDQ2N
YardStick One: https://goo.gl/wd88sr
RTL SDR: https://goo.gl/B5uUAR


 







Walkthrough Video: 




Remotely sniffing signals for later analysis: 

In the the previous blogs, we sniffed signals and replayed them to perform actions. In this blog we are going to take a look at a signal and reverse it to create a physical device that will act as a replacement for the original device. Depending on the scenario this may be a better approach if you plan to enter the facility off hours when there is no signal to capture or you don't want to look suspicious. 

Recon:

Lets first use the scanning functionality in RFCrack to find known frequencies. We need to understand the frequencies that gates usually use. This way we can set our scanner to a limited number of frequencies to rotate through. The smaller rage of frequencies used will provide a better chance of capturing a signal when a car opens the target gate. This would be beneficial if the scanning device is left unattended within a dropbox created with something like a Kali on a Raspberry Pi. One could access it from a good distance away by setting up a wifi hotspot or cellular connection.

Based on research remotes tend to use 315Mhz, 390Mhz, 433Mhz and a few other frequencies. So in our case we will start up RFCrack on those likely used frequencies and just let it run. We can also look up the FCID of our clicker to see what Frequencies manufactures are using. Although not standardized, similar technologies tend to use similar configurations. Below is from the data sheet located at https://fccid.io/HBW7922/Test-Report/test-report-1755584 which indicates that if this gate is compatible with a universal remote it should be using the 300,310, 315, 372, 390 Frequencies. Most notably the 310, 315 and 390 as the others are only on a couple configurations. 




RFCrack Scanning: 

Since the most used ranges are 310, 315, 390 within our universal clicker, lets set RFCrack scanner to rotate through those and scan for signals.  If a number of cars go through the gate and there are no captures we can adjust the scanner later over our wifi connection from a distance. 

Destroy:RFCrack ficti0n$ python RFCrack.py -k -f 310000000 315000000 390000000
Currently Scanning: 310000000 To cancel hit enter and wait a few seconds

Currently Scanning: 315000000 To cancel hit enter and wait a few seconds

Currently Scanning: 390000000 To cancel hit enter and wait a few seconds

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
Currently Scanning: 433000000 To cancel hit enter and wait a few seconds


Example of logging output: 

From the above output you will see that a frequency was found on 390. However, if you had left this running for a few hours you could easily see all of the output in the log file located in your RFCrack/scanning_logs directory.  For example the following captures were found in the log file in an easily parseable format: 

Destroy:RFCrack ficti0n$ cd scanning_logs/
Destroy:scanning_logs ficti0n$ ls
Dec25_14:58:45.log Dec25_21:17:14.log Jan03_20:12:56.log
Destroy:scanning_logs ficti0n$ cat Dec25_21\:17\:14.log
A signal was found on :390000000
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
A signal was found on :390000000
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



Analyzing the signal to determine toggle switches: 

Ok sweet, now we have a valid signal which will open the gate. Of course we could just replay this and open the gate, but we are going to create a physical device we can pass along to whoever needs entry regardless if they understand RF. No need to fumble around with a computer and look suspicious.  Also replaying a signal with RFCrack is just to easy, nothing new to learn taking the easy route. 

The first thing we are going to do is graph the capture and take a look at the wave pattern it creates. This can give us a lot of clues that might prove beneficial in figuring out the toggle switch pattern found in remotes. There are a few ways we can do this. If you don't have a yardstick at home you can capture the initial signal with your cheap RTL-SDR dongle as we did in the first RF blog. We could then open it in audacity. This signal is shown below. 



Let RFCrack Plot the Signal For you: 

The other option is let RFCrack help you out by taking a signal from the log output above and let RFCrack plot it for you.  This saves time and allows you to use only one piece of hardware for all of the work.  This can easily be done with the following command: 

Destroy:RFCrack ficti0n$ python RFCrack.py -n -g -u 1f0fffe0fffc01ff803ff007fe0fffc1fff83fff07ffe0007c
-n = No yardstick attached
-g = graph a single signal
-u = Use this piece of data




From the graph output we see 2 distinct crest lengths and some junk at either end we can throw away. These 2 unique crests correspond to our toggle switch positions of up/down giving us the following 2 possible scenarios using a 9 toggle switch remote based on the 9 crests above: 

Possible toggle switch scenarios:

  1. down down up up up down down down down
  2. up up down down down up up up up 

Configuring a remote: 

Proper toggle switch configuration allows us to program a universal remote that sends a signal to the gate. However even with the proper toggle switch configuration the remote has many different signals it sends based on the manufacturer or type of signal.  In order to figure out which configuration the gate is using without physically watching the gate open, we will rely on local signal analysis/comparison.  

Programming a remote is done by clicking the device with the proper toggle switch configuration until the gate opens and the correct manufacturer is configured. Since we don't have access to the gate after capturing the initial signal we will instead compare each signal from he remote to the original captured signal. 


Comparing Signals: 

This can be done a few ways, one way is to use an RTLSDR and capture all of the presses followed by visually comparing the output in audacity. Instead I prefer to use one tool and automate this process with RFCrack so that on each click of the device we can compare a signal with the original capture. Since there are multiple signals sent with each click it will analyze all of them and provide a percent likelihood of match of all the signals in that click followed by a comparing the highest % match graph for visual confirmation. If you are seeing a 80-90% match you should have the correct signal match.  

Note:  Not every click will show output as some clicks will be on different frequencies, these don't matter since our recon confirmed the gate is communicating on 390Mhz. 

In order to analyze the signals in real time you will need to open up your clicker and set the proper toggle switch settings followed by setting up a sniffer and live analysis with RFCrack: 

Open up 2 terminals and use the following commands: 

#Setup a sniffer on 390mhz
  Setup sniffer:      python RFCrack.py -k -c -f 390000000.     
#Monitor the log file, and provide the gates original signal
  Setup Analysis:     python RFCrack.py -c -u 1f0fffe0fffc01ff803ff007fe0fffc1fff83fff07ffe0007c -n.  

Cmd switches used
-k = known frequency
-c = compare mode
-f = frequency
-n = no yardstick needed for analysis

Make sure your remote is configured for one of the possible toggle configurations determined above. In the below example I am using the first configuration, any extra toggles left in the down position: (down down up up up down down down down)




Analyze Your Clicks: 

Now with the two terminals open and running click the reset switch to the bottom left and hold till it flashes. Then keep clicking the left button and viewing the output in the sniffing analysis terminal which will provide the comparisons as graphs are loaded to validate the output.  If you click the device and no output is seen, all that means is that the device is communicating on a frequency which we are not listening on.  We don't care about those signals since they don't pertain to our target. 

At around the 11th click you will see high likelihood of a match and a graph which is near identical. A few click outputs are shown below with the graph from the last output with a 97% match.  It will always graph the highest percentage within a click.  Sometimes there will be blank graphs when the data is wacky and doesn't work so well. This is fine since we don't care about wacky data. 

You will notice the previous clicks did not show even close to a match, so its pretty easy to determine which is the right manufacture and setup for your target gate. Now just click the right hand button on the remote and it should be configured with the gates setup even though you are in another location setting up for your test. 

For Visual of the last signal comparison go to ./imageOutput/LiveComparison.png
----------Start Signals In Press--------------
Percent Chance of Match for press is: 0.05
Percent Chance of Match for press is: 0.14
Percent Chance of Match for press is: 0.14
Percent Chance of Match for press is: 0.12
----------End Signals In Press------------
For Visual of the last signal comparison go to ./imageOutput/LiveComparison.png
----------Start Signals In Press--------------
Percent Chance of Match for press is: 0.14
Percent Chance of Match for press is: 0.20
Percent Chance of Match for press is: 0.19
Percent Chance of Match for press is: 0.25
----------End Signals In Press------------
For Visual of the last signal comparison go to ./imageOutput/LiveComparison.png
----------Start Signals In Press--------------
Percent Chance of Match for press is: 0.93
Percent Chance of Match for press is: 0.93
Percent Chance of Match for press is: 0.97
Percent Chance of Match for press is: 0.90
Percent Chance of Match for press is: 0.88
Percent Chance of Match for press is: 0.44
----------End Signals In Press------------
For Visual of the last signal comparison go to ./imageOutput/LiveComparison.png


Graph Comparison Output for 97% Match: 







Conclusion: 


You have now walked through successfully reversing a toggle switch remote for a security gate. You took a raw signal and created a working device using only a Yardstick and RFCrack.  This was just a quick tutorial on leveraging the skillsets you gained in previous blogs in order to learn how to analyze  RF signals within embedded devices. There are many scenarios these same techniques could assist in.  We also covered a few new features in RF crack regarding logging, graphing and comparing signals.  These are just a few of the features which have been added since the initial release. For more info and other features check the wiki. 

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