North Korean ‘fake Zoom’ crypto hacks now a daily threat: SEAL

cointelegraphPubblicato 2025-12-15Pubblicato ultima volta 2025-12-15

Introduzione

A North Korean hacking group is conducting multiple fake Zoom meeting scams daily to steal cryptocurrency, according to cybersecurity nonprofit SEAL. The attack begins with a message from a compromised Telegram account of someone the victim knows, luring them into a fake Zoom call. Before the call, a malicious link is shared that appears legitimate. During the call, hackers pretend to have audio issues and send a malware-infected file. Once executed, the malware compromises the victim’s device, enabling theft of crypto, passwords, private keys, and Telegram accounts. Security researcher Taylor Monahan warns these attacks have already stolen over $300 million. If infected, users should immediately disconnect their device from the internet, transfer crypto to new wallets, change all passwords, enable two-factor authentication, and perform a full device wipe. It is also critical to secure Telegram accounts and alert all contacts to prevent further spread.

Cybersecurity nonprofit Security Alliance (SEAL) warns they’re now seeing multiple daily attempts by North Korean hackers to scam victims using fake Zoom meetings.

The scam involves tricking victims into downloading malware during a fake Zoom call, which enables hackers to steal sensitive data, including passwords and private keys. Security researcher Taylor Monahan warned that the tactic has already looted over $300 million from users.

Source: Security Alliance

How the fake Zoom call scam works

Monahan said the scam starts with a message from a Telegram account of someone known to the victim, who is lulled into a false sense of security due to familiarity. The conversation then leads to an invitation to catch up over Zoom.

“They’ll share a link before the call that is usually masked to look real. There you can see the person + some of their partners/colleagues. These videos are not deepfakes as widely reported. They are real recordings from when they got hacked or public sources (podcasts),” she said.

However, once the call begins, the hackers feign audio issues and send a patch file, which, when opened, infects devices with malware. The hackers then end the sham call under the guise of rescheduling for another day.

Related: Upbit hack puts Binance’s emergency freeze policy under scrutiny

“Unfortunately, your computer is already compromised. They just play it cool to prevent detection. They will eventually take all your crypto. And your passwords. And your company/protocol's shit. And your Telegram account. Then you will go on to rekt all your friends.”

Here’s what to do if you’ve clicked the malware link

Monahan warns that anyone who has clicked on a link shared during a suspicious Zoom call should immediately disconnect from WiFi and turn off the affected device.

Then, use another device to transfer crypto to new wallets, change all passwords, activate two-factor authentication where possible, and perform a full memory wipe on the infected device before using it again.

She also stresses it’s “critical” to secure Telegram accounts to prevent the bad actors from gaining control by opening on a phone, going into settings, devices, terminating all other sessions, changing the password and adding or updating multifactor authentication.

Monahan said the hackers are gaining control of Telegram accounts and using the stored contacts to find and scam new victims.

Source: Taylor Monahan
“Lastly, if they hack your telegram, you need to TELL EVERYONE ASAP. You are about hack your friends. Please put your pride aside and SCREAM about it.”

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Crypto di tendenza

Letture associate

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

The AI boom is facing an unexpected bottleneck: a severe shortage of skilled construction workers and electricians. As tech giants like Meta, OpenAI, and Alphabet race to build massive data centers—such as OpenAI's $16 billion "Stargate" project—they are hitting a critical labor wall. The U.S. needs an estimated 130,000 more electricians, 240,000 construction workers, and 150,000 supervisors by 2030 for AI infrastructure alone, but tens of thousands of electrician jobs go unfilled each year. While AI companies offer high premiums, with electricians earning up to $280,000 annually, worker scarcity still causes massive losses—delays on a single project can cost $14.2 million per month. The complexity of building AI data centers, which require immense power (equivalent to powering hundreds of thousands of homes), sophisticated electrical systems, and advanced liquid cooling solutions, demands highly skilled technicians who are in short supply. To combat this, companies are investing heavily in training. Meta has committed $115 million to a free training school offering tuition, housing, and stipends, targeting 5,000 new workers. OpenAI is partnering with unions to secure skilled labor. These efforts are paying off, with a significant rise in Gen Z interest in trade schools over college. However, the power demands are staggering. AI data centers are driving a rapid surge in electricity consumption, projected to account for up to 12% of U.S. power use by 2028 and raising costs for consumers. Furthermore, the construction boom is project-based, leading to a potential future glut of trained workers once building peaks, which could depress wages industry-wide. The race for AI supremacy now depends as much on skilled hands as on advanced chips.

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OpenAI No Longer Sells Its Most Expensive Model for Profit

OpenAI is shifting its business strategy away from promoting its most expensive, flagship models for every task. Recent price cuts—80% for GPT-5.6 Luna and 20% for Terra—signal a deeper change: the company now actively advises users that many tasks don't require the most powerful model. Instead, OpenAI recommends a tiered approach: use the high-end GPT-5.6 Sol for complex planning and analysis, then delegate execution to cheaper models like Luna. This mirrors moves by Anthropic, which recently launched Claude Opus 5 at half the price of its top model, Fable 5. Both companies are de-emphasizing flagship models as primary revenue drivers, using them instead for brand prestige and technological showcases. The industry is entering a "mass-market" phase, similar to automotive, where high-volume, cost-effective models handle daily operations and drive scale. OpenAI's price reductions are partly enabled by AI models themselves optimizing underlying code and infrastructure, creating a self-reinforcing cycle of efficiency gains and cost reduction. Competition is shifting from "who is smartest" to "who offers the best value." The goal is no longer selling individual models but fostering widespread API adoption and ecosystem lock-in. By making AI calls cheap and ubiquitous, companies like OpenAI aim to become the indispensable, utility-like infrastructure powering automated workflows—the "water and electricity" of software, quietly embedded everywhere.

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