RARlab | Breaking Cybersecurity News | The Hacker News

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) on Tuesday added a recently disclosed security flaw in the UnRAR utility to its Known Exploited Vulnerabilities Catalog, based on evidence of active exploitation. Tracked as CVE-2022-30333 (CVSS score: 7.5), the issue concerns a path traversal vulnerability in the Unix versions of UnRAR that can be triggered upon extracting a maliciously crafted RAR archive. This means that an adversary could exploit the flaw to drop arbitrary files on a target system that has the utility installed simply by decompressing the file. The vulnerability was  revealed  by SonarSource researcher Simon Scannell in late June. "RARLAB UnRAR on Linux and UNIX contains a directory traversal vulnerability, allowing an attacker to write to files during an extract (unpack) operation," the agency  said  in an advisory. Although the flaw affects any Linux application that uses UnRAR to extract an archive file, a successful exploi...

A new security vulnerability has been disclosed in RARlab's UnRAR utility that, if successfully exploited, could permit a remote attacker to execute arbitrary code on a system that relies on the binary. The flaw, assigned the identifier CVE-2022-30333, relates to a path traversal vulnerability in the Unix versions of UnRAR that can be triggered upon extracting a maliciously crafted RAR archive. Following responsible disclosure on May 4, 2022, the shortcoming was addressed by RarLab as part of  version 6.12  released on May 6. Other versions of the software, including those for Windows and Android operating systems, are not impacted. "An attacker is able to create files outside of the target extraction directory when an application or victim user extracts an untrusted archive," SonarSource researcher Simon Scannell  said  in a Tuesday report. "If they can write to a known location, they are likely to be able to leverage it in a way leading to the execution of arb...

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...