Black Hat 2018: Voice Authentication is Broken, Researchers Say

LAS VEGAS – We live in a world increasingly dominated by voice-enabled smart digital assistants. More and more we rely on Amazon’s Alexa to tell us if we have any new messages. We ask Google Home smart speakers to remind us of calendar appointments. Some banks even allow users to use their voice ...

This Week in Security News: Hijacks and Healthcare

Welcome to our weekly roundup, where we share what you need to know about the cybersecurity news and events that happened over the past few days. This week, Singapore looks into the effectiveness of virtual browsers in an attempt to reduce cyberattacks on healthcare systems. Also, cybercriminals...

Protecting the protector: Hardening machine learning defenses against adversarial attacks

Harnessing the power of machine learning and artificial intelligence has enabled Windows Defender Advanced Threat Protection Windows Defender ATP next-generation protection to stop new malware attacks before they can get started often within milliseconds. These predictive technologies are central...

Detecting Phishing Sites with Machine Learning

Really interesting article: A trained eye or even a not-so-trained one can discern when something phishy is going on with a domain or subdomain name. There are search tools, such as Censys.io, that allow humans to specifically search through the massive pile of certificate log entries for sites...

Podcast: enSilo CEO on Black Hat USA 2018 Trends

Las Vegas – Threatpost’s Lindsey O’Donnell sits down with enSilo CEO Roy Katmor to talk about the top trends that we are seeing this week at Black Hat USA 2018 – from machine learning to connected-car security. Download here:...

Protecting the modern workplace from a wide range of undesirable software

Security is a fundamental component of the trusted and productive Windows experience that we deliver to customers through modern platforms like Windows 10 and Windows 10 in S mode. As we build intelligent security technologies that protect the modern workplace, we aim to always ensure that...

ThreatList: Financial Services Firms Lag in Patching Habits

Almost half 45 percent of financial services firms in a recent survey have reported a data breach in the last two years – with many of those attacks being completely avoidable if known vulnerabilities were patched. In a Ponemon Institute survey of nearly 3,000 cybersecurity professionals at...

Identifying People by Metadata

Interesting research: "You are your Metadata: Identification and Obfuscation of Social Media Users using Metadata Information," by Beatrice Perez, Mirco Musolesi, and Gianluca Stringhini. Abstract: Metadata are associated to most of the information we produce in our daily interactions and...

This Week in Security News: Scams and Security Risks

Welcome to our weekly roundup, where we share what you need to know about the cybersecurity news and events that happened over the past few days. This week, the EU and Japan finalized an agreement enabling the cross-border transfer of data. Also, businesses are turning to machine learning to comb...

What’s the real value—and danger—of smart assistants?

You've heard them called virtual assistants, digital personal assistants, voice assistants, or smart assistants. Operated by artificial intelligence, technologies such as Siri, Alexa, Google Assistant, and Cortana have become ubiquitous in our culture. But what exactly do they do? And how serious...

How To Leverage Data Access Analytics for Effective Breach Detection

Detecting and preventing data breaches is a challenge for most, if not all, enterprises. In fact, according to a study released in 2017, 78% of all CISOs are concerned that data breaches go undetected, while only 19% admit they are effective at breach prevention. Simply put, breaches happen almos...

Android Gets New Anti-Spoofing Feature to Make Biometric Authentication Secure

Google just announced its plan to introduce a new anti-spoofing feature for its Android operating system that makes its biometric authentication mechanisms more secure than ever. Biometric authentications, like the fingerprint, IRIS, or face recognition technologies, smoothen the process of...

Clustering App Attacks with Machine Learning Part 2: Calculating Distance

In our previous post in this series we discussed our motivation to cluster attacks on apps, the data we used and how we enriched it by extracting more meaningful features out of the raw data. We talked about the many features that can be extracted from IP and URL. In this blog post we’ll discuss...

Machine learning vs. social engineering

Machine learning is a key driver in the constant evolution of security technologies at Microsoft. Machine learning allows Microsoft 365 to scale next-gen protection capabilities and enhance cloud-based, real-time blocking of new and unknown threats. Just in the last few months, machine learning h...

Clustering App Attacks with Machine Learning Part 1: A Walk Outside the Lab

A lot of research has been done on clustering attacks of different types using machine learning algorithms with high rates of success. Much of it from the comfort of a research lab, with specific datasets and no performance limitations. At Imperva, our research is done for the benefit of real...

Reverse Engineering the Analyst: Building Machine Learning Models for the SOC

Many cyber incidents can be traced back to an original alert that was either missed or ignored by the Security Operations Center SOC or Incident Response IR team. While most analysts and SOCs are vigilant and responsive, the fact is they are often overwhelmed with alerts. If a SOC is unable to...

Automatic Machine Learning Penetration Test Tool: Deep Exploit

DeepExploit is fully automated penetration tool linked with Metasploit. It identifies the status of all opened ports on the target server and executes the exploit at pinpoint using Machine Learning. DeepExploit consists of the machine learning model A3C and Metasploit . The A3C executes exploit t...

Adversarial Robustness Toolbox: ART

The Adversarial Robustness Toolbox ART, an open source software library, supports both researchers and developers in defending deep neural networks against adversarial attacks, making AI systems more secure. Its purpose is to allow rapid crafting and analysis of attack and defense methods for...

A week in security (May 21 – May 27)

Last week we told you about a Mac cryptominer using XMRig, an overview of Dreamcast related scams, part 1 of decoding Emotet, and what to do about bad coding habits that die hard. We also published the results of our second CrackMe contest. Other news How a pioneer of machine learning became one ...

GyoiThon - A Growing Penetration Test Tool Using Machine Learning

GyoiThon is a growing penetration test tool using Machine Learning. GyoiThon identifies the software installed on web server OS, Middleware, Framework, CMS, etc... based on the learning data. After that, it executes valid exploits for the identified software using Metasploit. Finally, it generate...