Microsoft Defender Experts identified a coordinated developer-targeting campaign delivered through malicious repositories disguised as legitimate Next.js projects and technical assessment materials.

This transcript was prepared by a transcription service. This version may not be in its final form and may be updated. Ryan Knutson: Do you guys want to start out by introducing yourselves? Ben Cohen: ...

The React team has released fixes for two new types of flaws in React Server Components (RSC) that, if successfully exploited, could result in denial-of-service (DoS) or source code exposure. The team ...

A critical remote code execution vulnerability in React.js has been identified. React.js is a JavaScript library for building fast, interactive user interfaces (UIs) using reusable components. The ...

Facepalm: A widely used web technology is affected by a serious security vulnerability that can be exploited with minimal effort to compromise servers. Known as "React2Shell," the flaw may require ...

A maximum severity vulnerability, dubbed 'React2Shell', in the React Server Components (RSC) 'Flight' protocol allows remote code execution without authentication in React and Next.js applications.

The cybersecurity industry is on high alert following the disclosure of a critical React vulnerability that can be exploited by a remote, unauthenticated attacker for remote code execution. React ...

Security defenders are girding themselves in response to the disclosure of a maximum-severity vulnerability disclosed Wednesday in React Server, an open-source package that’s widely used by websites ...

Critical vulnerability in React library should be treated by IT as they did Log4j - as an emergency, warns one expert. Developers using the React 19 library for building application interfaces are ...

A maximum-severity security flaw has been disclosed in React Server Components (RSC) that, if successfully exploited, could result in remote code execution. The vulnerability, tracked as ...

Abstract: Code generation models based on large language models (LLMs) have gained wide adoption, but challenges remain in ensuring safety, accuracy, and controllability, especially for complex tasks.