Apache Airflow | Breaking Cybersecurity News | The Hacker News

Cybersecurity researchers have shared details of a now-patched security vulnerability in Amazon Web Services (AWS) Managed Workflows for Apache Airflow ( MWAA ) that could be potentially exploited by a malicious actor to hijack victims' sessions and achieve remote code execution on underlying instances. The vulnerability, now addressed by AWS, has been codenamed  FlowFixation  by Tenable. "Upon taking over the victim's account, the attacker could have performed tasks such as reading connection strings, adding configurations and triggering directed acyclic graphs (DAGS)," senior security researcher Liv Matan  said  in a technical analysis. "Under certain circumstances such actions can result in RCE on the instance that underlies the MWAA, and in lateral movement to other services." The root cause of the vulnerability, per the cybersecurity firm, is a combination of  session fixation  on the web management panel of AWS MWAA and an AWS domain misconfigur...

Cybersecurity researchers on Monday discovered misconfigurations across older versions of Apache Airflow instances belonging to a number of high-profile companies across various sectors, resulting in the exposure of sensitive credentials for popular platforms and services such as Amazon Web Services (AWS), Binance, Google Cloud Platform (GCP), PayPal, Slack, and Stripe. "These unsecured instances expose sensitive information of companies across the media, finance, manufacturing, information technology (IT), biotech, e-commerce, health, energy, cybersecurity, and transportation industries," Intezer said in a report shared with The Hacker News. Originally launched in June 2015,  Apache Airflow  is an open-source workflow management platform that enables programmatic scheduling and monitoring of workflows on AWS, GCP, Microsoft Azure, and other third-party services. It's also one of the most popular task orchestration tools, followed by Luigi, Kubeflow, and MLflow. It...

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...