The widely used Axios HTTP client library, a JavaScript component used by developers, was recently hacked to distribute malware via a compromised account. Attackers exploited a hijacked account on npm ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

The JavaScript innovation train is really picking up momentum lately, driven—as always—by the creativity of the JavaScript developer community. The emerging local-first SQL datastores crystalize ideas ...

Cybersecurity researchers have discovered a JScript-based command-and-control (C2) framework called PeckBirdy that has been put to use by China-aligned APT actors since 2023 to target multiple ...

EmeraldGraph, a domain-specific Knowledge Graph, its schema and the full pipeline for its construction EmeraldDB, a document store extracted from ESG reports for text-based retrieval Claim grounding, ...

Two high-severity vulnerabilities in Chainlit, a popular open-source framework for building conversational AI applications, allow reading any file on the server and leaking sensitive information. The ...

BERLIN — For the 13 years since its founding, the nationalist Alternative for Germany (AfD) party — labeled “right-wing extremist” by the country’s domestic intelligence agency and accused by others ...

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 ...

Abstract: Predicting high-energy proton flux is essential for radiation-effect protection of satellite devices. We introduce a dual-prediction framework based on Graph Neural Networks (GNN) to model ...

For years, JavaScript has reigned as the undisputed language of the web, powering everything from single-page apps to massive enterprise systems through frameworks like React, Angular, and Vue. But ...

Abstract: In this work, we focus on the task of learning the promising graph for clustering and present a novel Tensorized Graph Learning (TGL) framework, which synergizes the neighbor and ...