Spectre-NG | Breaking Cybersecurity News | The Hacker News

Security researchers from Microsoft and Google have discovered a fourth variant of the data-leaking Meltdown-Spectre security flaws impacting modern CPUs in millions of computers, including those marketed by Apple. Variant 4 comes weeks after German computer magazine Heise reported about a set of eight Spectre-class vulnerabilities in Intel CPUs and a small number of ARM processors, which may also impact AMD processor architecture as well. Variants 1 and 2 (CVE-2017-5753 and CVE-2017-5715), known as Spectre, and Variant 3 (CVE-2017-5754), known as Meltdown, are three processor vulnerabilities disclosed by Google Project Zero researchers in January this year. Now, Microsoft and Google researchers have disclosed Variant 4 (CVE-2018-3639), dubbed Speculative Store Bypass , which is a similar Spectre variant that takes advantage of speculative execution that modern CPUs use to potentially expose sensitive data through a side channel. Speculative execution is a core component...

A team of security researchers has reportedly discovered a total of eight new " Spectre-class " vulnerabilities in Intel CPUs, which also affect at least a small number of ARM processors and may impact AMD processor architecture as well. Dubbed Spectre-Next Generation , or Spectre-NG , the partial details of the vulnerabilities were first leaked to journalists at German computer magazine Heise, which claims that Intel has classified four of the new vulnerabilities as "high risk" and remaining four as "medium." The new CPU flaws reportedly originate from the same design issue that caused the original Spectre flaw , but the report claims one of the newly discovered flaws allows attackers with access to a virtual machine (VM) to easily target the host system, making it potentially more threatening than the original Spectre vulnerability. "Alternatively, it could attack the VMs of other customers running on the same server. Passwords and secret k...

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...