Multiple weaponized proof-of-concept (PoC) exploits on GitHub delivered a Python-based remote access trojan (RAT) called ChocoPoC that can execute commands and steal sensitive data. However, ChocoPoC ...

Operation Navy Ghost is targeting Python developers who build Telegram bots by hiding backdoors inside trojanized Pyrogram forks uploaded to PyPI. The campaign has been active since November 2025, ...

Attackers can inject indirect prompts in normal-looking repositories to trick Claude Code into spawning a reverse shell.

Mozilla researchers revealed a new attack that tricks Claude Code into running hidden commands from seemingly harmless GitHub ...

Researchers warn malicious GitHub repositories can trick AI coding agents into running hidden malware through trusted setup steps, risking developer systems and credentials. Google - Gemini A newly ...

An agentic coding tool tasked with cloning and setting up a seemingly benign GitHub repository could execute a malicious ...

Life without Python’s ‘dead batteries ’ Python’s a “batteries included” language, but some of those batteries have been dead for a while. Python 3.13 ripped ‘em out and sent ’em sailing. But what to ...

Git isn't hard to learn, and when you combine Git and GitHub, you've just made the learning process significantly easier. This two-hour Git and GitHub video tutorial shows you how to get started with ...

Imagine having a coding partner at your side who knows more languages than you, fully comprehends all the technical documentation, completely understands your codebase and is willing to do all the low ...

The ides of security March are upon us — Qualys reports the discovery by their threat research unit of vulnerabilities in the Linux AppArmor system used by SUSE, Debian, Ubuntu, and Kubernetes as an ...

The GlassWorm malware campaign is being used to fuel an ongoing attack that leverages the stolen GitHub tokens to inject malware into hundreds of Python repositories. "The attack targets Python ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...