Clean GitHub repo tricks AI coding agents into running malware

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

Mozilla Warns Clean GitHub Repositories Can Trick Claude Code Into Running Malware

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

North Korea-Linked macOS Malware Uses Prompt Injection to Evade AI Analysis

SentinelOne says macOS.Gaslight uses prompt injection to mislead AI-based malware analysis, steal data, and use Telegram for ...
How-To Geek on MSN

I used NotebookLM to wrangle a month of research—here's where it fell apart

This AI research tool saved me hours organizing technical notes, but it has one fatal flaw at scale.
Bleeping Computer

ChocoPoc malware delivered via trojanized exploits on GitHub

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 ...
InfoWorld

Write cleaner and faster Python code

Check out Python’s powerful new linters and profiling tools, and learn how virtual environments can save you time and trouble.

The AI coding craze gave GitHub its best month ever, executive tells employees

Usage of the company's Copilot AI coding tool surged after GitHub changed how it bills customers, the executive said.
Forbes

AI Coding Agents Write 180% More Code But Ship Only 30% More Software

TOKYO, JAPAN - FEBRUARY 3: Open AI CEO Sam Altman speaks during a talk session with SoftBank Group CEO Masayoshi Son at an event titled "Transforming Business through AI" in Tokyo, Japan, on February ...
Tom's Hardware on MSN

AI coding agents can be tricked into installing malware via 'clean' GitHub repositories

Three levels of indirection, all with seemingly innocuous steps, will catch a bot off-guard.
eLife

TopoMetry systematically learns and evaluates the latent geometry of single-cell data

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...