BIG-IQ | Breaking Cybersecurity News | The Hacker News

Multiple security vulnerabilities have been disclosed in F5 BIG-IP and BIG-IQ devices that, if successfully exploited, to completely compromise affected systems. Cybersecurity firm Rapid7 said the  flaws  could be abused to remote access to the devices and defeat security constraints. The issues impact BIG-IP versions 13.x, 14.x, 15.x, 16.x, and 17.x, and BIG-IQ Centralized Management versions 7.x and 8.x. The two high-severity issues, which were reported to F5 on August 18, 2022, are as follows - CVE-2022-41622  (CVSS score: 8.8) - A cross-site request forgery ( CSRF ) vulnerability through iControl SOAP, leading to unauthenticated remote code execution. CVE-2022-41800  (CVSS score: 8.7) - An iControl REST vulnerability that could allow an authenticated user with an Administrator role to bypass  Appliance mode  restrictions. "By successfully exploiting the worst of the vulnerabilities (CVE-2022-41622), an attacker could gain persistent root access...

Enterprise security and network appliance vendor F5 has released patches for more than  two dozen security vulnerabilities  affecting multiple versions of BIG-IP and BIG-IQ devices that could potentially allow an attacker to perform a wide range of malicious actions, including accessing arbitrary files, escalating privileges, and executing JavaScript code. Of the 29 bugs addressed, 13 are high-severity flaws, 15 are rated medium, and one is rated low in severity. Chief among them is  CVE-2021-23031  (CVSS score: 8.8), a vulnerability affecting BIG-IP Advanced Web Application Firewall and BIG-IP Application Security Manager that allows an authenticated user to perform a privilege escalation. "When this vulnerability is exploited, an authenticated attacker with access to the Configuration utility can execute arbitrary system commands, create or delete files, and/or disable services. This vulnerability may result in complete system compromise," F5 said in its advis...

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...