Black Hat USA 2014 | Arsenal Returning bigger than ever for 2014, Black Hat is pleased to once again present Arsenal--a Tool/Demo area where independent researchers and the open source community will showcase some awesome weapons. See below for the full list and descriptions of each of these tools. Hours and Location: August 6, 2014 | 10:00 - 18:00 | Breakers JK August 7, 2014 | 10:00 - 18:00 | Breakers JK Android Device Testing Framework The Android Device Testing Framework ("dtf") is a data collection and analysis framework to help individuals answer the question: "Where are the vulnerabilities on this mobile device?" Automated Memory Analysis Automated Memory Analysis is a set of new innovative Cuckoo Sandbox plugins that adds new dynamic and memory analysis abilities such as: Demonstrations will cover how the plugins can help security researchers analyze advanced malware. Malware samples such as Snake (Uroburos), Stuxnet, and friends that evaded analysis will be dissected live to demonstrate the toolkit abilities.
Predictive Analytics, Data Mining, Self-service, Open source - RapidMiner Packet Carving with SMB and SMB2 | Chris Sanders One of the more useful network forensic skills is the ability to extract files from packet captures. This process, known as packet data carving, is crucial when you want to analyze malware or other artifacts of compromise that are transferred across the network. That said, packet data carving has varying degrees of difficulty depending on the type of traffic you are attempting to extract data from. Carving files from simple protocols like HTTP and FTP is something that can be done in a matter of minutes and is usually cut and dry enough that it can be done in an automated fashion with tools like Foremost and Network Miner. There are articles all over the Internet about carving files from simple protocols so I won’t rehash those. Instead, I want to take a look at a two more complex protocols that are extremely common in production networks. Carving Files from SMB Packets The first version of SMB is in use on all modern Microsoft operating systems prior to Windows Vista. Conclusion
Top 30 Free Statistical software - Predictive Analytics Today | Predictive Analytics Today Top 30 Free Statistical software: List of 40+ open source statistical software. Statistical software are programs which are used for the statistical analysis of the collection, organization, analysis, interpretation and presentation of data. GNU Octave, ADaMSoft, BV4.1, PSPP, R, pbdR, Shogun, CSPro, CumFreq, Gretl. Here is a list of some of the Top Free Statistical software from the open source vendors. Top 30 Free Statistical software 1.GNU Octave GNU Octave is for numerical computations and it provides a command-line interface for solving linear and nonlinear problems and for performing other numerical experiments. GNU Octave Octave 2.ADaMSoft ADaMSoft is an open source statistical software developed in Java which supports Neural Networks MLP, Graphs, Data Mining, Linear regression, Logistic regression, Statistical classification, Record linkage methods, Decision trees, Cluster analysis, Data Editing and imputation, Principal component analysis and Correspondence analysis. ADaMSoft 6. pbdR 7.
eDetective download - eDetective - Find Out The Truth About Anyone - win7dwnld.com Data Conversion | Find Replace | Search | Word Hyperlinks - DataMystic.com Packet Data Mining Tasks Dialog Box - DC RUM 12.2 Documentation - Dynatrace Community Use the Packet Data Mining Tasks dialog box to list the captures previously made, captures still in progress, and captures scheduled to run in the future. This list displays tasks from all users, not only the current user. Type part of a task name in the box to list only the tasks that match what you typed. Click in any task row to display all trace files associated with that task. If nothing is listed, hover the mouse pointer over the status icon to review the status of reporting devices. Click to collapse the trace list for that task. The table of scheduled tasks displays the following information: Tasks The task name, task description, the user who created the task, the task start time, and time remaining or task duration are all listed for each task. indicates that the capture files associated with the task are not password protected. indicates that all capture files associated with the task are password protected. indicates that the task is in progress. Possible task statuses: Files
Top 13 Data Mining Software - Predictive Analytics Today | Predictive Analytics Today Top 13 Data Mining Software 4.74/5 (94.74%) 19 ratings Top 13 Data Mining Software : List of 13+ Data Mining software from the propriety vendors. IBM SPSS Modeler, SAS Enterprise Miner, Angoss Knowledge STUDIO, Microsoft Analysis Services, Oracle Data Mining, Think Analytics, Viscovery, Portrait Software, IBM DB2 Intelligent Miner, STATISTICA Data Miner, QIWare, LIONsolver and KXEN Modeler.Data Mining is the process of extracting information from a data set and transforming it into an understandable structure for further use. Here is a list of some of the Top 13+ Data Mining Software from the key propriety software vendors: You may also like to review the top free data analysis freeware software list : Top Free Data Analysis Software or the top free data mining software list: Top Free Data Mining Software Top data mining software 1.IBM SPSS Modeler IBM SPSS Modeler is a data mining software application provided by IBM. IBM SPSS Modeler 2.SAS Data Mining SAS Enterprise Miner SAS Enterprise Miner
Free Computer Tools for Network and Email Forensics Home » Featured Articles » Free Computer Tools for Network and Email Forensics In the first article in this series we looked at free tools for data mirroring and in the second installment we looked at tools available for registry forensics, followed by an examination of some tools available for disk forensics. Now we move on to network forensics, which is related to the monitoring and analysis of computer network traffic for the purposes of information gathering, legal evidence, or intrusion detection. We will also examine some tools for email forensics. The ultimate goal of network forensics is to provide sufficient evidence to allow the criminal perpetrator to be successfully prosecuted. The practical application could be in areas such as hacking, insurance companies, fraud, defamation, etc. Tool: Wireshark Wireshark, a network analysis tool formerly known as Ethereal, captures packets in real time and display them in human-readable format. Tool: Network Miner Email Forensics Resources:
Weka 3 - Data Mining with Open Source Machine Learning Software in Java Weka is a collection of machine learning algorithms for data mining tasks. It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization. Found only on the islands of New Zealand, the Weka is a flightless bird with an inquisitive nature. Weka is open source software issued under the GNU General Public License. We have put together several free online courses that teach machine learning and data mining using Weka. Weka supports deep learning!