Tomcat Server | Breaking Cybersecurity News | The Hacker News

If your web server is running on Apache Tomcat, you should immediately install the latest available version of the server application to prevent hackers from taking unauthorized control over it. Yes, that's possible because all versions (9.x/8.x/7.x/6.x) of the Apache Tomcat released in the past 13 years have been found vulnerable to a new high-severity (CVSS 9.8) ' file read and inclusion bug '—which can be exploited in the default configuration. But it's more concerning because several proof-of-concept exploits ( 1 , 2 , 3 , 4  and more ) for this vulnerability have also been surfaced on the Internet, making it easy for anyone to hack into publicly accessible vulnerable web servers. Dubbed ' Ghostcat ' and tracked as CVE-2020-1938 , the flaw could let unauthenticated, remote attackers read the content of any file on a vulnerable web server and obtain sensitive configuration files or source code, or execute arbitrary code if the server allows file uploa...

The Apache Tomcat team has recently patched several security vulnerabilities in Apache Tomcat, one of which could allow an unauthorised attacker to execute malicious code on affected servers remotely. Apache Tomcat, developed by the Apache Software Foundation (ASF), is an open source web server and servlet system, which uses several Java EE specifications like Java Servlet, JavaServer Pages (JSP), Expression Language, and WebSocket, and provides a "pure Java" HTTP web server environment for Java concept to run in. Unlike Apache Struts2 vulnerabilities , which have recently been exploited to breach the systems of American credit reporting agency Equifax , Apache Tomcat flaws are less likely to be exploited. The critical Remote Code Execution (RCE) vulnerability (CVE-2017-12617) discovered in Apache Tomcat is due to insufficient validation of user-supplied input by the affected software. Only systems with HTTP PUTs enabled (via setting the "read-only" initi...

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...