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.
Tech Times

Cursor’s GitHub Rival Origin and New SpaceX Model Raise Code Custody Stakes

Cursor Origin git platform launched at Compile alongside a 1.5-trillion-parameter model in training and a new iOS app, as ...
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 ...

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.
Digital Trends

NotebookLM can now write code, build spreadsheets, and find sources for you

Google has upgraded NotebookLM with a new reasoning engine, expanded file output options, and a more flexible research workflow, giving the AI notebook tool a broader set of capabilities for handling ...
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 ...