Deep Learning to Find Malicious Email Attachments

Google presented its system of using deep-learning techniques to identify malicious email attachments: At the RSA security conference in San Francisco on Tuesday, Google's security and anti-abuse research lead Elie Bursztein will present findings on how the new deep-learning scanner for documents...

Gmail Is Catching More Malicious Attachments With Deep Learning

Users of Gmail get 300 billion attachments each week. To separate legitimate documents from harmful ones, Google turned to AI—and it’s working...

Deep learning rises: New methods for detecting malicious PowerShell

Scientific and technological advancements in deep learning, a category of algorithms within the larger framework of machine learning, provide new opportunities for development of state-of-the art protection technologies. Deep learning methods are impressively outperforming traditional methods on...

Defining Wallarm API-specific Rules

Case Study Using SugarCRM API As an Example A unique Wallarm AI feature is its ability to automatically detect and parse complicated API protocols and then set up security rules based on specific data or parameters deep inside the API. Once parsed, the system creates the rules-based both on where...

Partner Perspectives: Better Together: Blue Hexagon Deep Learning-Powered Network Security and Carbon Black Endpoint Security

Tom Guerrette is the Director of Solutions Architecture for Blue Hexagon. It’s no surprise to any of us in the security industry that the threat landscape has transformed in the last 5 years in both speed and volume of attacks. According to The AV-Test Security Report, in 2017, 121.6 million new...

Securing the future of AI and machine learning at Microsoft

Artificial intelligence AI and machine learning are making a big impact on how people work, socialize, and live their lives. As consumption of products and services built around AI and machine learning increases, specialized actions must be undertaken to safeguard not only your customers and thei...

What are Deep Neural Networks Learning About Malware?

An increasing number of modern antivirus solutions rely on machine learning ML techniques to protect users from malware. While ML-based approaches, like FireEye Endpoint Security’s MalwareGuard capability, have done a great job at detecting new threats, they also come with substantial development...

Defending Elections from Foreign Adversaries: Election Buster

Election Buster is an open source tool created in 2014 to identify malicious domains masquerading as candidate webpages and voter registration systems. During 2016, fake domains were used to compromise credentials of a Democratic National Committee DNC IT services company, and foreign adversaries...

Meet MyloBot malware turning Windows devices into Botnet

By Waqas The IT security researchers at deep learning cybersecurity firm Deep This is a post from HackRead.com Read the original post: Meet MyloBot malware turning Windows devices into Botnet...

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...

Machine Learning Penetration Testing: GyoiThon

GyoiThon is a growing penetration test tool using Deep Learning. Deep Learning improves classification accuracy in proportion to the amount of learning data. Therefore, GyoiThon will be taking in new learning data during every scan. Since GyoiThon uses various features of software included in HTT...

Wallarm Joins NVIDIA AI Virtual Accelerator

We are thrilled to announce that Wallarm has joined the NVIDIA Inception program, which is designed to nurture startups revolutionizing industries with advancements in AI and data sciences. NVIDIA’s Inception program is a virtual accelerator that helps startups during critical stages of product...

A Deep Learning Approach for Password Guessing: PassGAN

State-of-the-art password guessing tools, such as HashCat and John the Ripper JTR, enable users to check billions of passwords per second against password hashes. In addition to straightforward dictionary attacks, these tools can expand dictionaries using password generation rules. Although these...

Intel Deep Learning Training Tool Elevation of Privilege Vulnerability

Intel Deep Learning Training Tool Beta is a set of deep learning training tools from Intel USA. The tool supports visual tuning and running deep learning algorithms. An elevation of privilege vulnerability exists in Intel Deep Learning Training Tool Beta 1. A remote attacker could exploit this...

Design/Logic Flaw

A vulnerability in the Intel Deep Learning Training Tool Beta 1 allows a network attacker to remotely execute code as a local user...

CVE-2017-5719

A vulnerability in the Intel Deep Learning Training Tool Beta 1 allows a network attacker to remotely execute code as a local user...

CVE-2017-5719

The CVE-2017-5719 entry pertains to Intel Deep Learning Training Tool Beta 1 and is supported by CNVD records describing an elevation-of-privilege vulnerability that could let a remote attacker execute code as a local user. Public details in the connected CNVD item indicate an elevation-of-privil...

CVE-2017-5719

A vulnerability in the Intel Deep Learning Training Tool Beta 1 allows a network attacker to remotely execute code as a local user...

Intel® Deep Learning Training Tool Beta 1 security vulnerability

Summary: A vulnerability in the Intel® Deep Learning Training Tool Beta 1 allows a network attacker to remotely execute code as a local user. Description: A vulnerability in the Intel® Deep Learning Training Tool Beta 1 allows a network attacker to remotely execute code as a local user. High 8.3...

Deep-Learning PassGAN Tool Improves Password Guessing

Artificial intelligence and deep learning are creeping into information security, and one of the early applications of those approaches has emerged and is focused on passwords. Researchers from the Stevens Institute of Technology and the New York Institute of Technology have recently published so...