SSRF | Breaking Cybersecurity News | The Hacker News

Multiple critical security flaws have been disclosed in the Judge0 open-source online code execution system that could be exploited to obtain code execution on the target system. The three flaws, all critical in nature, allow an "adversary with sufficient access to perform a sandbox escape and obtain root permissions on the host machine," Australian cybersecurity firm Tanto Security said in a report published today. Judge0 (pronounced "judge zero") is  described  by its maintainers as a "robust, scalable, and open-source online code execution system" that can be used to build applications that require online code execution features such as candidate assessment, e-learning, and online code editors and IDEs. According to its website, the service is used by 23 customers like AlgoDaily, CodeChum, and PYnative, among others. The project has been  forked 412 times on GitHub  to date. The flaw...

Threat actors are leveraging a recently disclosed security flaw impacting Ivanti Connect Secure, Policy Secure, and ZTA gateways to deploy a backdoor codenamed  DSLog  on susceptible devices. That's according to  findings  from Orange Cyberdefense, which said it observed the exploitation of CVE-2024-21893 within hours of the public release of the proof-the-concept (PoC) code. CVE-2024-21893, which was  disclosed  by Ivanti late last month alongside CVE-2024-21888, refers to a server-side request forgery (SSRF) vulnerability in the SAML module that, if successfully exploited, could permit access to otherwise restricted resources sans any authentication. The Utah-based company has since acknowledged that the flaw has limited targeted attacks, although the exact scale of the compromises is unclear. Then, last week, the Shadowserver Foundation  revealed  a surge in exploitation attempts targeting the vulnerability originating from over 170 uniqu...

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...