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Flash

first_img Trump will emphasize combating overseas cryptocurrency fraud at the White House event

U.S. President Trump will emphasize his administration's actions against overseas cryptocurrency fraud at a cybercrime prevention event at the White House on Wednesday. According to Reuters citing White House officials, these overseas criminal networks lure Americans into participating in fraudulent cryptocurrency investments. Trump and cabinet members plan to point out that the government has shut down multiple fraudulent cryptocurrency investment websites and is working to close down online impersonation scams. Secretary of Homeland Security Markwayne Mullin, FBI Director Kash Patel, Secretary of Defense Pete Hegseth, and Attorney General Todd Blanche are expected to attend.The event follows an executive order from March this year, where Trump instructed the Department of Justice to prioritize identifying and prosecuting cyber fraudsters, followed by a memorandum requiring the Department of Homeland Security to collaborate with private companies to monitor foreign criminal hacker organizations. FBI data shows that in 2025, over 1 million cyber fraud complaints were submitted by the American public, a 17% increase from 2024, with record losses. Cryptocurrency fraud accounted for more than half of the losses, with the FBI's Internet Crime Complaint Center recording 181,565 cryptocurrency-related complaints, resulting in losses of $11.366 billion, with cryptocurrency investment fraud causing $7.2 billion in losses.Most of the fraud activities trace back to organized crime groups in Southeast Asia, involving Cambodia, Laos, and Myanmar, where criminals exploit trafficking victims as forced labor in scam operations. Americans aged 60 and above bear the heaviest losses, with cryptocurrency-related losses reaching $4.43 billion. Cryptocurrency ATM fraud caused losses of $389 million, a 58% increase from 2024; secondary scams targeting previous victims caused an additional $1.4 billion in losses. The FBI's "Operation Upgrade" notified 3,780 victims suffering from cryptocurrency investment fraud in 2025, estimated to recover $225.8 million.

first_img The Zcash development team plans to allocate independent keys for each ZEC exchange to prevent quantum cracking

The Zakura team, which operates the Zcash network, released a technical article stating that they plan to allocate a unique viewing key for each ZEC exchange completed through NEAR Intents, in order to block future quantum computers from exploiting public refund addresses to piece together user payment histories. NEAR Intents supports cross-chain token exchanges, and when users exchange the privacy coin ZEC for USDC, the service will publish a Zcash address for the user on the NEAR public blockchain, which will be used to return any unused ZEC.The Zcash address contains a public key generated by the wallet's viewing key, which cannot be reverse-engineered by ordinary computers, but large quantum computers running Shor's algorithm could theoretically deduce the key from the address. Zcash wallets can generate multiple seemingly unrelated addresses, but they typically share the same viewing key. Once an attacker cracks it, they can associate all payments received by the account and read the amounts and notes. Zakura's solution allocates a unique viewing key for each exchange, while the spending key remains in the user's main account. Even if the future refund address is compromised, the attacker would only be able to see payments related to that specific exchange.This design also addresses a practical issue: wallets conducting hundreds of exchanges would generate hundreds of keys, requiring each key to scan the entire Zcash chain during backup recovery. Zakura's solution is a privately queryable database that uses private information retrieval technology, so when the wallet inquires about the refund destination, the database will not know the address being queried. Zakura claims that wallets built on its open-source library (including Vizor) will be able to add this feature in the coming weeks, and hardware wallets will follow after firmware support, ahead of the January quantum-resistant payment target set by Zcash developers this month.

first_img Bill Gates: AI is the most dangerous invention of humanity, and the future year may see a large number of negative events in cybersecurity

On the 11th, Microsoft co-founder Bill Gates stated in a television interview that AI is the most dangerous technology ever invented by humanity, with risks exceeding those of cars, airplanes, and pharmaceuticals. He mentioned that the real threat at present is not AI going out of control, as that scenario is still years away from becoming a reality; rather, the more immediate threat is criminals using AI to carry out extortion, manipulate the stock market, and other crimes.Gates indicated that as criminals crack and bypass the security protections of the latest AI models, there will be a significant number of negative events in the cybersecurity field over the next year. He also mentioned concerns about biosecurity, stating that AI has significant implications for fields such as healthcare, but the potential risks still outweigh those of traditional industries that are already under strict regulation. Currently, there is no effective regulatory framework established globally, and within the next year, industry governance will have to move beyond mere self-regulation, while existing resource investments are far from sufficient.According to reports cited by the Financial Associated Press, Ken McCallum, the director of the UK's MI5, stated in the annual threat assessment that AI is exacerbating the cyber offense and defense game and may change the risk landscape of biological weapons. MI5 has announced the establishment of an AI threat assessment center. Additionally, reports indicate that executives from laboratories such as OpenAI and Anthropic have recently privately simulated disaster response plans, believing that a likely scenario involves cyberattacks impacting financial services, internet connectivity, or water and electricity supply.

The success rate of the Zhipu legal model is nearly three times higher, and the testing cost is about one-seventieth of that of its competitors

The artificial intelligence company Zhipu released a legal-specific model GLM-Legal, which is further trained based on GLM-5.3-Flash. In the Harvey LAB evaluation covering 24 categories of legal services, the task pass rate increased from 6.7% to 19.2%, nearly tripling the original version, surpassing models like Kimi K3 and Claude Fable 5, and ranking seventh on the Vals AI leaderboard.When reviewing software service contracts, GLM-Legal suggested shortening the termination notice period from 60 days to 30 days and required service providers to offer up to 90 days of handover support. In another software project dispute involving 40 documents, it found that the company reported to the client that the project was 60% complete, while internal records indicated only about 41%. It also identified emails from the CEO requesting to conceal risks and continue charging, and analyzed potential legal liabilities in conjunction with contract terms.According to independent evaluations by Vals AI, the cost for GLM-Legal to complete a test is $0.15, while the closely performing Gemini 4 Argon costs $10.55, a cost difference of about 70 times. GLM-Legal took an average of 72 minutes, while the latter took 44 minutes. Zhipu stated that the model was trained specifically on legal data and conducted reinforcement learning in tens of thousands of simulated legal environments. Currently, GLM-Legal requires an API trial application.
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