keen team | Breaking Cybersecurity News | The Hacker News

The Tencent Keen Security Lab Team from China has won a total prize money of $215,000 in the 2016 Mobile Pwn2Own contest run by Trend Micro's Zero Day Initiative (ZDI) in Tokyo, Japan. Despite the implementation of high-security measures in current devices, the famous Chinese hackers crew has successfully hacked both Apple's iPhone 6S as well as Google's Nexus 6P phones. Hacking iPhone 6S For hacking Apple's iPhone 6S, Keen Lab exploited two iOS vulnerabilities – a use-after-free bug in the renderer and a memory corruption flaw in the sandbox – and stole pictures from the device, for which the team was awarded $52,500 . The iPhone 6S exploit successfully worked despite the iOS 10 update rolled out by Apple this week. Earlier this week, Marco Grassi from Keen Lab was credited by Apple for finding a serious remote code execution flaw in iOS that could compromise a victim's phone by just viewing "a maliciously crafted JPEG" image. However, a...

The Keen Team – a mysterious group of Chinese hackers who hacked Apple's Safari Mac OS X Mavericks system in just 20 seconds and Windows 8.1. Adobe Flash in only 15 seconds during Pwn2Own Hacking Competition this year, are no more mysterious as the team revealed its members identity. In an interview with a Chinese newspaper on this 13 April, the key member of the Keen team and co-founder as well as chief operating officer of the team's Shanghai-based parent company, Lv Yiping said half of his team members are the top scoring students in the national college entrance examination, half of them are majored in mathematics, and half are from Microsoft. He also added that the team's eight core members are the top hackers in the country. The Kean team is the first Chinese hackers group to have won the prestigious title at the world hacking contest held in Vancouver this year in March. Back in 2013, they also took part in the Mobile Pwn2Own contest held in Tokyo and succe...

In recent years, artificial intelligence (AI) has begun revolutionizing Identity Access Management (IAM), reshaping how cybersecurity is approached in this crucial field. Leveraging AI in IAM is about tapping into its analytical capabilities to monitor access patterns and identify anomalies that could signal a potential security breach. The focus has expanded beyond merely managing human identities — now, autonomous systems, APIs, and connected devices also fall within the realm of AI-driven IAM, creating a dynamic security ecosystem that adapts and evolves in response to sophisticated cyber threats. The Role of AI and Machine Learning in IAM AI and machine learning (ML) are creating a more robust, proactive IAM system that continuously learns from the environment to enhance security. Let's explore how AI impacts key IAM components: Intelligent Monitoring and Anomaly Detection AI enables continuous monitoring of both human and non-human identities , including APIs, service acc...