Leaked source code reveals how AI music company Suno actually assembled substantial portions of its training library.

Stolen and leaked credentials lead to Node.js packages from AsyncAPI and Jscrambler Code Integrity being poisoned with ...

Threat actors compromised AsyncAPI packages and weaponized trusted CI/CD workflows to distribute malware through npm. This ...

A hack of Suno AI music exposed its source code, showing it scraped millions of songs from YouTube, Deezer, and Genius to train its song generator.

The hack allegedly confirms the suspicions of record labels and artists that their music is used in the creation of AI music.

A file for YouTube Music notes that Suno had consumed 2,013,545 YouTube Music clips at the point it was last updated.

The hacker used an employee's credentials to access source code, which revealed how Suno scraped decades of audio.

I tested Claude Code, Codex, and OpenCode on real full-stack work: a Next.js feature, a backend bug, a legacy refactor, and ...

A threat actor has published hundreds of fake GitHub repositories impersonating legitimate software and security projects to ...

State of Open Source Report. The DHTMLX Gantt Community Edition team announced an analysis of recent open-source adoption ...

State of Open Source Report. According to the 2025 Open Source Security and Risk Analysis (OSSRA) Report from Black Duck, ...

Big AI breakthroughs aren't the only interesting things happening.