web servers | Breaking Cybersecurity News | The Hacker News

Cybercriminals have figured out a way to abuse widely-used Memcached servers to launch over 51,000 times powerful DDoS attacks than their original strength, which could result in knocking down of major websites and Internet infrastructure. In recent days, security researchers at Cloudflare , Arbor Networks , and Chinese security firm Qihoo 360 noticed that hackers are now abusing "Memcached" to amplify their DDoS attacks by an unprecedented factor of 51,200. Memcached is a popular open-source and easily deployable distributed caching system that allows objects to be stored in memory and has been designed to work with a large number of open connections. Memcached server runs over TCP or UDP port 11211. The Memcached application has been designed to speed up dynamic web applications by reducing stress on the database that helps administrators to increase performance and scale web applications. It's widely used by thousands of websites, including Facebook, Flickr,...

Thousands of computers and web servers running Linux and FreeBSD operating systems have been infected over past five years with sophisticated malware that turn the machines into spambots. The new Linux malware, discovered by the security researchers from the antivirus provider Eset, has been dubbed " Mumblehard " because it is Muttering spam from your servers , says Eset 23-page long report (PDF) titled "Unboxing Linux/Mumblehard." Researchers have logged more than 8,500 unique IP addresses during the seven months period of research that were hit by Mumblehard Linux malware and found over 3,000 machines joined them in the past three weeks. Mumblehard features two basic components: Backdoor  Spamming daemon  Both written in the Perl programming language and "feature the same custom packer written in assembly language." The backdoor allows hackers to infiltrate into the system and control the command and control servers, and t...

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...