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The Trojan-Banker.AndroidOS.Faketoken malware has been known about for already more than a year.

Throughout the time of its existence, it has worked its way up from a primitive Trojan intercepting mTAN codes to an encrypter. Not so long ago, thanks to our colleagues from a large Russian bank, we detected a new Trojan sample, Faketoken.q, which contained a number of curious features.
Extension that surreptitiously steals bank passwords uploaded twice in 17 days.
The NetSarang server software is used by hundreds of companies worldwide.
Like the various Linux server and desktop distributions, the container-oriented Linux distributions mix and match various projects and components to construct a complete container infrastructure.

These distros generally combine a minimal OS kernel, an ...
Do you use this suite? If yes: A July 18 update screwed over your security Researchers at Kaspersky Lab have found a well-hidden backdoor in NetSang's server management software.…
ShadowPad backdoor found embedded in a software product used by major organizations around the globe to manage their Linux, Windows, and Unix servers.
Advanced ShadowPad malware lurked in digitally signed products sold by NetSarang.
Researchers at Kaspersky Lab said today that the update mechanism for Korean server management software provider NetSarang was compromised and serving a backdoor called ShadowPad.
In July 2017, during an investigation, suspicious DNS requests were identified in a partnerrsquo;s network.

The source of the queries was a software package produced by NetSarang. Our analysis showed that recent versions of the software had been surreptitiously modified to include an encrypted payload that could be remotely activated by a knowledgeable attacker.
Google is offering an open source, hardware-accelerated library for machine learning that runs in a browser.

The library is currently supported only in the desktop version of Google Chrome, but the project is working to support more devices. The Deeplearn.js library enables training of neural networks within a browser, requiring no software installation or back end. “A client-side ML library can be a platform for interactive explanations, for rapid prototyping and visualization, and even for offline computation,” Google researchers said. “And if nothing else, the browser is one of the worldrsquo;s most popular programming platforms.”[ Learn how to write apps that take full advantage of machine learning: Data in, intelligence out: Machine learning pipelines demystified • Googlersquo;s machine-learning cloud pipeline explained • R and Python drive SQL Server 2017 into machine learning. | Keep up with hot topics in programming with InfoWorldrsquo;s App Dev Report newsletter. ]Using the WebGL JavaScript API for 2D and 3D graphics, Deeplearn.jsnbsp; can conduct computations on the GPU.

This offers significant performance, thus getting past the speed limits of JavaScript, the researchers said.To read this article in full or to leave a comment, please click here
Alexander Stigsen is co-founder and CEO of Realm.It has been a decade since the launch of the iPhone, but for developers, it can feel like wersquo;re still trapped in 2007.
If yoursquo;re doing anything interesting with a mobile app, you run into a pernicious and frustrating reality: Your mobile development experience was in large part determined by the web technologies that preceded mobile and still persist today.So when we talk about building mobile apps, what we really mean is building mobile apps that interface with server technologies.

And that means interacting with a stack that was designed for a world of desktop computers connected with ethernet cables. While the world has moved beyond big screens and wired connections, mobile developers are the ones who have had to accept endless compromises in order to ship the experiences they want.To read this article in full or to leave a comment, please click here