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.NET Core July 2019 Updates – 2.1.12 and 2.2.6

.NET Core July 2019 Updates – 2.1.12 and 2.2.6

Today, we are releasing the .NET Core July 2019 Update. These updates contain security and reliability fixes. See the individual release notes for details on updated packages. NOTE: If you are a Visual Studio user, there are MSBuild version requirements so use only the .NET Core SDK supported for each Visual Studio version. Information needed to make this choice will be seen on the download page. If you use other development environments, we recommend using the latest SDK release. .NET Core 2.2.6 and .NET Core SDK ( Download | Release Notes ) .NET Core 2.1.12 and .NET Core SDK ( Download | Release Notes ) Security CVE-2019-1075: ASP.NET Core Spoofing Vulnerability Microsoft is releasing this security advisory to provide information about a vulnerability in ASP.NET Core 2.1 and 2.2. This advisory also provides guidance on what developers can do to update their applications to remove this vulnerability. Microsoft is aware of a spoofing vulnerability that exists in ASP.NET Core that could lead to an open redirect. An attacker who successfully exploited the vulnerability could redirect a targeted user to a malicious website. To exploit the vulnerability, an attacker could send a link that has a specially crafted URL and convince the user to click the link. The update addresses the vulnerability by correcting how ASP.NET Core parses URLs. Getting the Update The latest .NET Core updates are available on the .NET Core download page. This update is also included in the Visual Studio 15.9.14, 16.0.6 and 16.1.6 updates. Choose Check for Updates in the Help menu. See the .NET Core release notes (  |  ) for details on the...
Liverpool are using incredible data science during matches, and effects are extraordinary – Liverpool.com

Liverpool are using incredible data science during matches, and effects are extraordinary – Liverpool.com

87 minutes of football had been played in North London last Saturday, as Jose Mourinho’s Tottenham Hotspur clamoured in a desperate search for an equalising goal. Liverpool managed to gain a lead earlier in the contest through Roberto Firmino but had been unable to add to their tally, resulting in the final stages of the match descending into chaos, with ball moving rapidly up and down the pitch, and Spurs missing a pair of excellent chances through Heung-min Son and Giovani Lo Celso. But in one moment, Liverpool managed to kill Spurs’ momentum dead. As Dele Alli took control of possession of the ball near the halfway line, Jürgen Klopp’s team morphed into a solid, narrow block and gave their opponents a simple ultimatum – ‘go around us’. 10 players wearing red had positioned themselves in the centre of the field, separated from back-to-front and from side-to-side by a total of no more than 20 yards. Unsurprisingly, the ploy worked and the contest ended with Liverpool securing their sixth clean sheet in a row. The Reds have now conceded at least seven fewer goals than any other Premier League outfit this season, and that record stems from the team’s ability to control the pitch. The large majority of football clubs have data analysis departments, but very few, if any at all, incorporate such knowledge into top-level decision-making and processes to the extent that Liverpool do. Michael Edwards, the club’s sporting director, is a former analyst himself having previously spent time at Portsmouth and Spurs. He’s since been promoted through the ranks at Anfield, with his current role centred around...
Can AI and ML Cause Disruptive Innovation In Mobile App Development?

Can AI and ML Cause Disruptive Innovation In Mobile App Development?

Today every business wants to work on to build a base of new customers all while retaining the existing ones through their mobile applications. This can only become possible if the business manages to satisfy the needs of its target audience and potential customers. This is the reason why the mobile app development businesses should work towards presenting the idea of their business to the users as well as convey what the app actually stands for in the first place. So the question arises– when you can actually find all the information on Google, why take the effort to download and install an app which is focused on serving a particular need? Now, this is the traditional method of collecting information about the users and by using mobile applications which focuses on fulfilling particular needs of the users in which you also get a better chance to know more about what goes on in their minds. By making use of artificial intelligence along with machine learning, the market is building up a strong competition now to come up with smarter mobile applications. As per PwC study conducted on 2500 US business decision makers and consumers, 72% believe that AI has the power of offering a business advantage. Mobile app developers pose themselves as the controller of mobile technology but the real work today is done by artificial intelligence technology and machine learning algorithms which work on to turn these mobile applications into awesome things for users. The way these mobile apps are built and used have changed with the introduction of these two technologies. Find the ways in which...
AutoPentest-DRL – Automated Penetration Testing Using Deep Reinforcement Learning

AutoPentest-DRL – Automated Penetration Testing Using Deep Reinforcement Learning

AutoPentest-DRL is an automated penetration testing framework based on Deep Reinforcement Learning (DRL) techniques. The framework determines the most appropriate attack path for a given network, and can be used to execute a simulated attack on that network via penetration testing tools, such as Metasploit. AutoPentest-DRL is being developed by the Cyber Range Organization and Design (CROND) NEC-endowed chair at the Japan Advanced Institute of Science and Technology (JAIST) in Ishikawa, Japan. An overview of AutoPentest-DRL is shown below. The framework can use network scanning tools, such as Nmap, to find in the target network; otherwise, user input is employed instead. The MulVAL attack-graph generator is used to determine potential attack trees, which are then fed in a simplified form into the DQN Decision Engine. The attack path that is produced as output can be fed into penetration testing tools, such as Metasploit, to conduct an attack on a real target network, or used with a logical network instead, for example for educational purposes. In addition, a topology generation algorithm is used to produce multiple network topologies that are used to train the DQN. Next we provide brief information on how to setup and use AutoPentest-DRL. For details, please refer to the User Guide that we also make available. Prerequisites Several external tools are needed in order to use AutoPentest-DRL, as follows: Nmap: Network scanner used by AutoPentest-DRL to determine vulnerabilities in a given real network. The command needed to install nmap on Ubuntu is given below: sudo apt-get install nmap Setup AutoPentest-DRL has been developed mainly on the Ubuntu 18.04 LTS operating system; other OSes may work, but...
Running .NET Core on Docker

Running .NET Core on Docker

It’s a new era for Microsoft and for .NET, and that is not an overstatement. If you haven’t been following, here are some of the things that happened over the last year: .NET Framework and C# language has been open-sourced and is now being developed in the open on GitHub .NET now officially runs on Windows, Linux, Mac OS X, iOS, Android and you can get full development experience on any OS too Microsoft is bringing native Linux experience into Windows And with the new .NET Foundation the whole ecosystem is not even owned by Microsoft anymore.Putting all of this together you get a full experience where you can develop with C# on either Windows or Mac, use proper command-line UNIX-based developer tools even on Windows, and happily deploy to Linux servers. Basically .NET/C# has overtaken Java as the true cross-platform development ecosystem. Plan In order to get experience with the new toys, I’ve come up with the following plan: Create a “hello world” web service using .NET Core and C# on Mac Run it in docker Deploy it to AWS container service Let’s get our hands dirty… Step 1: Set up .NET Core So I decided to use Mac OSX rather than Windows to make it more interesting (plus it will make life easier when trying to run docker). Installing .NET is super easy just following the steps here .NET Core installation steps That gives you dotnet command line tool which you can use to create, build, run projects without any IDE. Here is how you create and run a new “Hello World” console app: Visual Studio Code...
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