SOLDIERX.COM Nobody Can Stop Information Insemination

INTRODUCTION

WebSeekurity is a multi-platform tool that can be used to assess the security of Web applications that interact with a server via AMF/SOAP over HTTP. In particular, Adobe Flex applications can be audited thanks to this software.The tool acts as a client that can be used to communicate with the backend server to test. It enables to send requests to this server and to receive the corresponding responses. WebSeekurity attempts to discover and identify potential server-side vulnerabilities: weak authentication and authorization mechanisms, information leakage, vulnerability to SQL injections, etc.Several modes are proposed: Manual, Automatic and Fuzzing. The Manual mode enables to create a request from scratch. The Automatic mode is used to discover the services and methods made available by the application in an automated manner. Finally, fuzzing can be performed thanks to the last mode.WebSeekurity is released under the GNU GPLv2 license.

REQUIREMENTS:
Python 2.7 (not compatible with Python 3.0 or greater)
PyAMF
SOAPpy
pyparsing
Tcl-Tk

Mini MySqlat0r is a multi-platform application used to audit web sites in order to discover and exploit SQL injection vulnerabilities. It is written in Java and is used through a user-friendly GUI that contains three distinct modules.

The Crawler modules allows the user to view the web site structure and gather all tamper able parameters. These parameters are then sent to the Tester module that tests all parameters for SQL injection vulnerabilities. If any are found, they are then sent to the Exploiter module that can exploit the injections to gather data from the database.

Mini MySqlat0r can be used on any platform running the Java environment and is distributed under licence GPL.

REQUIREMENTS:

The Java runtime environment is necessary to use Mini MySqlat0r:
Java JRE

XSSploit is a multi-platform Cross-Site Scripting scanner and exploiter written in Python. It has been developed to help discovery and exploitation of XSS vulnerabilities in penetration testing missions.

When used against a website, XSSploit first crawls the whole website and identifies encountered forms. It then analyses these forms to automatically detect existing XSS vulnerabilities as well as their main characteristics.

REQUIREMENTS
The following elements are required by XSSploit:

Python 2.5
wxPython GUI toolkit

Overview

Pin is a dynamic binary instrumentation framework for the IA-32 and x86-64 instruction-set architectures that enables the creation of dynamic program analysis tools. Some tools built with Pin are VTune Amplifier XE, Inspector XE, Advisor XE and SDE. The tools created using Pin, called Pintools, can be used to perform program analysis on user space applications in Linux and Windows. As a dynamic binary instrumentation tool, instrumentation is performed at run time on the compiled binary files. Thus, it requires no recompiling of source code and can support instrumenting programs that dynamically generate code.

Pin provides a rich API that abstracts away the underlying instruction-set idiosyncrasies and allows context information such as register contents to be passed to the injected code as parameters. Pin automatically saves and restores the registers that are overwritten by the injected code so the application continues to work. Limited access to symbol and debug information is available as well.

Pin was originally created as a tool for computer architecture analysis, but its flexible API and an active community (called "Pinheads") have created a diverse set of tools for security, emulation and parallel program analysis.

Distribution

Pin is proprietary software developed and supported by Intel and is supplied free of charge for non-commercial use. Pin includes the source code for a large number of example instrumentation tools like basic block profilers, cache simulators, instruction trace generators, etc. It is easy to derive new tools using the examples as a template.

LFI_Fuzzploit is a simple tool to help in the fuzzing for, finding,and exploiting local file inclusions in Linux based PHP applications. Using special encoding and fuzzing techniques lfi_fuzzploit will scan for some known and some not so known LFI filter bypasses and exploits using some advanced encoding/bypass methods to try to bypass security and achieve its goal which is ultimately, exploiting a Local file inclusion.In addition to LFI_fuzzploit's fuzzing and encoding techniques, it also has built in methods for LFI exploitation including /proc/self/environ shell exploit, File descriptor shell and LFI shell via log injection. LFI_fuzzploit injects code using different command injection functions in the event that certain functions are disabled. Coded by nullbyt3.

FTimes is a system baselining and evidence collection tool. The primary purpose of FTimes is to gather and/or develop topographical information and attributes about specified directories and files in a manner conducive to intrusion and forensic analysis.FTimes is a lightweight tool in the sense that it doesn't need to be "installed" on a given system to work on that system, it is small enough to fit on a single floppy, and it provides only a command line interface.Preserving records of all activity that occurs during a snapshot is important for intrusion analysis and evidence admissibility. For this reason, FTimes was designed to log four types of information: configuration settings, progress indicators, metrics, and errors. Output produced by FTimes is delimited text, and therefore, is easily assimilated by a wide variety of existing tools.FTimes basically implements two general capabilities: file topography and string search. File topography is the process of mapping key attributes of directories and files on a given file system. String search is the process of digging through directories and files on a given file system while looking for a specific sequence of bytes. Respectively, these capabilities are referred to as map mode and dig mode.FTimes supports two operating environments: workbench and client-server. In the workbench environment, the operator uses FTimes to do things such as examine evidence (e.g., a disk image or files from a compromised system), analyze snapshots for change, search for files that have specific attributes, verify file integrity, and so on. In the client-server environment, the focus shifts from what the operator can do locally to how the operator can efficiently monitor, manage, and aggregate snapshot data for many hosts. In the client-server environment, the primary goal is to move collected data from the host to a centralized system, known as an Integrity Server, in a secure and authenticated fashion.

PyFlag features a rich FeatureList which include the ability to load many different log file formats, Perform forensic analysis of disks and images. PyFlag can also analyze network traffic as obtained via tcpdump quickly and efficiently.Since PyFLAG is web based, it is able to be deployed on a central server and shared with a number of users at the same time. Data is loaded into cases which keeps information separated.

bulk_extractor is a C++ program that scans a disk image, a file, or a directory of files and extracts useful information without parsing the file system or file system structures. The results are stored in feature files that can be easily inspected, parsed, or processed with automated tools. bulk_extractor also creates histograms of features that it finds, as features that are more common tend to be more important.

Foremost is a console program to recover files based on their headers, footers, and internal data structures. This process is commonly referred to as data carving. Foremost can work on image files, such as those generated by dd, Safeback, Encase, etc, or directly on a drive. The headers and footers can be specified by a configuration file or you can use command line switches to specify built-in file types. These built-in types look at the data structures of a given file format allowing for a more reliable and faster recovery.

The Volatility Framework is a completely open collection of tools, implemented in Python under the GNU General Public License, for the extraction of digital artifacts from volatile memory (RAM) samples. The extraction techniques are performed completely independent of the system being investigated but offer visibilty into the runtime state of the system. The framework is intended to introduce people to the techniques and complexities associated with extracting digital artifacts from volatile memory samples and provide a platform for further work into this exciting area of research.