iPhone exploit | Breaking Cybersecurity News | The Hacker News

A Chinese hacking group has been found leveraging a new exploit chain in iOS devices to install a spyware implant targeting the Uyghur Muslim minority in China's autonomous region of Xinjiang. The findings, published by digital forensics firm Volexity , reveal that the exploit — named "Insomnia" — works against iOS versions 12.3, 12.3.1, and 12.3.2 using a flaw in WebKit that was patched by Apple with the release of iOS 12.4 in July 2019. Volexity said the attacks were carried out by a state-sponsored hacking group it calls Evil Eye , the same threat actor that it said was behind a series of attacks against the Uyghurs last September following a bombshell disclosure by Google's Project Zero team . China has long considered Xinjiang a breeding ground for " separatists, terrorists and religious extremists ," with the residents of the region — ethnically Turkic Muslims — thrown into concentration camps , and subjected to persecution and high-tech surv...

It's 2018, and just a few lines of code can crash and restart any iPhone or iPad and can cause a Mac computer to freeze. Sabri Haddouche , a security researcher at encrypted instant messaging app Wire, revealed a proof-of-concept (PoC) web page containing an exploit that uses only a few lines of specially crafted CSS & HTML code. Beyond just a simple crash, the web page, if visited, causes a full device kernel panic and an entire system reboot. The Haddouche's PoC exploits a weakness in Apple's web rendering engine WebKit , which is used by all apps and web browsers running on the Apple's operating system. Since the Webkit issue failed to properly load multiple elements such as "div" tags inside a backdrop filter property in CSS, Haddouche created a web page that uses up all of the device's resources, causing shut down and restart of the device due to kernel panic. You can also watch the video demonstration published by the researcher, which s...

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...