Source
msrc-blog
Machine learning (ML) is an increasingly valuable tool in cyber security as adversaries continually evolve their tactics and techniques to evade detection. As machine learning has advanced and sophisticated ML models have been developed to assist security professionals in protecting the cloud, adversaries have been busy developing malware designed to evade ML models.
Machine learning (ML) is an increasingly valuable tool in cyber security as adversaries continually evolve their tactics and techniques to evade detection. As machine learning has advanced and sophisticated ML models have been developed to assist security professionals in protecting the cloud, adversaries have been busy developing malware designed to evade ML models.
This blog post outlines the work that Microsoft is doing to eliminate uninitialized stack memory vulnerabilities from Windows and why we’re on this path. This blog post will be broken down into a few parts that folks can jump to: Uninitialized Memory Background Potential Solutions to Uninitialized Memory Vulnerabilities InitAll – Automatic Initialization Interesting Findings with InitAll Performance Optimizations Impact for Customers Forward Looking Plans None of this work would have been possible without close partnership between the Visual Studio organization, the Windows organization, and MSRC.
This blog post outlines the work that Microsoft is doing to eliminate uninitialized stack memory vulnerabilities from Windows and why we’re on this path. This blog post will be broken down into a few parts that folks can jump to: Uninitialized Memory Background Potential Solutions to Uninitialized Memory Vulnerabilities InitAll – Automatic Initialization Interesting Findings with InitAll Performance Optimizations Impact for Customers Forward Looking Plans None of this work would have been possible without close partnership between the Visual Studio organization, the Windows organization, and MSRC.
2020 年 5 月 13 日 (日本時間)、マイクロソフトは以下のソフトウェアのセキュリティ更新プログラムを公開しまし
The Azure Sphere Security Research Challenge is an expansion of Azure Security Lab, announced at Black Hat in August 2019. At that time, a select group of talented researchers was invited to come and do their worst, emulating criminal hackers in a customer-safe cloud environment. This new research challenge aims to spark new high impact security research in Azure Sphere, a comprehensive IoT security solution delivering end to end security across hardware, OS and the cloud.
The Azure Sphere Security Research Challenge is an expansion of Azure Security Lab, announced at Black Hat in August 2019. At that time, a select group of talented researchers was invited to come and do their worst, emulating criminal hackers in a customer-safe cloud environment. This new research challenge aims to spark new high impact security research in Azure Sphere, a comprehensive IoT security solution delivering end to end security across hardware, OS and the cloud.
Our team, DeisLabs, recently released a new piece of software called Krustlet, which is a tool for running WebAssembly modules on the popular, open-source container management tool called Kubernetes. Kubernetes is used quite extensively to run cloud software across many vendors and companies and is primarily written in the Go programming language.
Our team, DeisLabs, recently released a new piece of software called Krustlet, which is a tool for running WebAssembly modules on the popular, open-source container management tool called Kubernetes. Kubernetes is used quite extensively to run cloud software across many vendors and companies and is primarily written in the Go programming language.
Following the second Security Researcher Quarterly Leaderboard and the 2020 MSRC Most Valuable Security Researchers criteria we published in February 2020, we are excited to announce the 2020 First Quarter (Q1) Security Researcher Leaderboard, listing our top contributing researchers for the last quarter. The top three researchers of the last quarter are: Zhiniang Peng (2870 points), Yuki Chen (1550 points), and Ashar Javed (1520 points).