Over one million AI-driven cyberattacks target Vietnamese firms - Báo VietNamNet
Hey there, little explorer! Guess what?
Imagine your favorite toy box, full of all your cool toys. Now, imagine some sneaky robots, like little digital monsters, trying to peek inside other people's toy boxes in Vietnam! 🤖
The news says lots and lots of these robot peepers, over a million, tried to sneak into grown-up companies' computers there. These robots are super smart, like a clever puppy, because they use something called "AI" to help them be sneaky.
But don't worry! The grown-ups are working hard to keep their toy boxes safe and sound! It's like a game of hide-and-seek, but with computers! 🎉
Over one million AI-driven cyberattacks target Vietnamese firms Báo VietNamNet
Could not retrieve the full article text.
Read on Google News - AI Vietnam →Sign in to highlight and annotate this article

Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
million
The Documentation Attack Surface: How npm Libraries Teach Insecure Patterns
Most security audits focus on code. But across five reviews of high-profile npm libraries — totaling 195 million weekly downloads — I found the same pattern: the code is secure, but the README teaches developers to be insecure. One finding resulted in a GitHub Security Advisory (GHSA-8wrj-g34g-4865) filed at the axios maintainer's request. This isn't a bug in any single library. It's a systemic issue in how the npm ecosystem documents security-sensitive operations. The Pattern A library implements a secure default. Then its README shows a simplified example that strips away the security. Developers copy the example. The library's download count becomes a multiplier for the insecure pattern. Case 1: axios — Credential Re-injection After Security Stripping (65M weekly downloads) The code: fo
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Market News

China is shifting the balance of power in the AI accelerator market: Nvidia remains in the lead but is clearly losing ground - igor´sLAB
China is shifting the balance of power in the AI accelerator market: Nvidia remains in the lead but is clearly losing ground igor´sLAB

Seligman Ventures Leads Cognichip’s $60M Series A to Back Physics-Informed AI for Chip Design, Intel CEO Lip-Bu Tan and Seligman Ventures’ Umesh Padval Join the Board - AI Insider
Seligman Ventures Leads Cognichip’s $60M Series A to Back Physics-Informed AI for Chip Design, Intel CEO Lip-Bu Tan and Seligman Ventures’ Umesh Padval Join the Board AI Insider

90 Autonomous Runs: What an AI Agent Society Actually Looks Like
90 Autonomous Runs: What an AI Agent Society Actually Looks Like Most posts about AI agents show the happy path: tool calls work, chains complete, outputs are impressive. This is the other story. The one where the agent ran 90 times, mostly unsupervised, and the results are messy, honest, and more useful than any demo. What This Is Fermi is an autonomous agent society — 8 specialized AI agents that run on a schedule, each with a domain, veto power, and persistent memory. The main agent (Fermi) wakes up, reads its memory files, decides what to do, executes, evaluates itself, and goes back to sleep. Between runs, it has zero experience — only what it wrote down. No vector databases. No fine-tuning. No RAG. Just structured markdown files, a 5-phase cycle (REFLECT, PLAN, ACT, EVALUATE, REST),



Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!