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After Binance Attack: How Hackers Use Meme Coins for Money Laundering
Original headline: Nach Binance-Angriff: Wie die Hacker Meme-Coins zur Geldwäsche nutzen

Medium attention
2
Articles
0
Tone index · Strongly negative
100%
Negative articles
Attention, 0–100: how loudly the story is being told right now — its reach, spread and speed.
Topics of this story
— AI summary —
Reports say hackers linked to the Binance attack are using meme coins to launder cryptocurrency. One headline attributes the activity to North Korea and names Elon Musk-themed and cartoon-themed meme coins, alleging the billions in crypto were stolen from Binance. The headlines differ on attribution: one states it as an allegation, the other frames it as a method of laundering proceeds from the attack.
Written by AI from the headlines of the domains covering the story. Not investment advice.
— Sentiment Overview —
This story’s tone, quantified
How this story’s coverage reads — positive, neutral or negative — as the model rated it: 2 articles
Disclosures, scheduled launches, factual updates
Hacks, enforcement, lawsuits, major outflows
— About this story —
This story in Global Attention
Global Attention reads news domains and wires, merges articles from different domains about the same news into stories, and rates their tone.
A story is every article from different domains about the same news, merged into one, so an item copied by forty sites counts once. This page shows how much attention it draws, how its coverage reads and who carries it, each headline linking to its publisher: the text stays with them.
Attention runs from 0 to 100: how loudly the story is being told right now, from its reach, spread and speed. The word under the figure names its band: Peak from 40, High 20–39, Medium 8–19 and Low below 8.
According to Global Attention, 2 domains cover “After Binance Attack: How Hackers Use Meme Coins for Money Laundering”, first seen Nov 9, 06:24 PM UTC. Attention: 9/100. The tone of the coverage is 0/100 (Strongly negative): 0% positive, 100% negative, based on 2 rated articles.
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How the index is calculated
A model rates the tone of every article, and the index is the gap between the positive and negative shares, put on a 0 to 100 scale: 50 means they balance, and neutral articles are left out. The usual level is the mean daily index over the last 30 days.
More in the methodology →02
How the media write about AI and tech
Which domains write about AI and tech more positively and which more negatively: the tone index of each domain’s articles over the last 30 days.
See the domain ranking →03
The tone of news about AI and tech by country
Which countries the news about AI and tech is about, and in what tone: the tone index of articles by the country they cover, over the last 24 hours.
Mood map by country →04
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