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Microsoft Secure

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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 has helped us to protect hundreds of thousands of customers against ransomware,...

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Adding transparency and context into industry AV test results

  Corporate Vice President Brad Anderson recently shared his insights on how Windows Defender Advanced Threat Protection (Windows Defender ATP) evolved to achieve important quality milestones. Our Windows Defender ATP team is committed to delivering industry-leading protection, customer choice, and transparency on the quality of our solutions. In the continued spirit of these principles, we...

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Why Windows Defender Antivirus is the most deployed in the enterprise

Statistics about the success and sophistication of malware can be daunting. The following figure is no different: Approximately 96% of all malware is polymorphic – meaning that it is only experienced by a single user and device before it is replaced with yet another malware variant. This is because in most cases malware is caught...

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Sharing research and discoveries at PWN2OWN

The annual PWN2OWN exploit contest at the CanSecWest conference in Vancouver, British Columbia, Canada, brings together some of the top security talent from across the globe in a friendly competition. For the participants, these events are a platform to demonstrate world-class skills and vie for significant cash prizes. For companies like Microsoft, where we have...

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Phishers unleash simple but effective social engineering techniques using PDF attachments

Modern social engineering attacks use non-portable executable (PE) files like malicious scripts and macro-laced documents. Every month, Windows Defender AV detects non-PE threats on over 10 million machines. Learn how machine learning drives next-gen protection capabilities and cloud-based, real-time blocking of new and unknown threats: Machine learning vs. social engineering The Gmail phishing attack is...

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Exploit kits remain a cybercrime staple against outdated software – 2016 threat landscape review series

Despite the disruption of Axpergle (Angler), which dominated the landscape in early 2016, exploit kits as a whole continued to be a threat to PCs running unpatched software. Some of the most prominent threats, from malvertising to ransomware, used exploit kits to infect millions of computers worldwide in 2016. The prevalence of exploit kits as...

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No slowdown in Cerber ransomware activity as 2016 draws to a close

The trend towards increasingly sophisticated malware behavior, highlighted by the use of exploits and other attack vectors, makes older platforms so much more susceptible to ransomware attacks. From June to November 2017, Windows 7 devices were 3.4 times more likely to encounter ransomware compared to Windows 10 devices. Read our latest report: A worthy upgrade:...

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Twin zero-day attacks: PROMETHIUM and NEODYMIUM target individuals in Europe

Targeted attacks are typically carried out against individuals to obtain intellectual property and other valuable data from target organizations. These individuals are either directly in possession of the targeted information or are able to connect to networks where the information resides. Microsoft researchers have encountered twin threat activity groups that appear to target individuals for...

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