US Stock Market Close: SK Hynix fell more than 7%, Apple's market capitalization approaches $5 trillion.
According to market data from BIT (bit.com), U.S. stocks closed on Monday: the Dow Jones Industrial Average rose 0.5%, the S&P 500 gained 0.02%, and the Nasdaq fell 0.18%. Apple (AAPL) climbed 1%, with its market capitalization approaching $5 trillion. Micron Technology (MU) dropped 2%, SanDisk (SNDK) fell 11%, NVIDIA (NVDA) declined 5%, and SK Hynix (SKHY) was down 7.5%.
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UBS: Microsoft may face 'high spending, low growth' dilemma in upcoming earnings report, cuts target price to $480
UBS analysts noted that Microsoft (MSFT)’s recent stock pullback has priced in some risks ahead of its Q4 fiscal results, leaving relatively limited downside. The firm maintained a "Buy" rating on Microsoft, though it cut the target price from $510 to $480, citing that Microsoft may raise its capital expenditure outlook while keeping Azure’s growth guidance unchanged rather than hiking it. This mix of high spending and limited revenue growth expectations appears less favored by the market. Beyond discussions on capital expenditure and return on investment, Microsoft also faces multiple pressures: its exposure to OpenAI, substitution risks from open-source models, and skepticism surrounding its flagship productivity software business. The analysts wrote: "All in all, we maintain a 'Buy' rating, but take a more balanced view on this earnings report."
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Trump administration close to finalizing voluntary AI review framework
According to a report by The Information, three people familiar with the matter disclosed that the Trump administration is on the verge of finalizing a voluntary framework mandating AI companies to submit their most advanced models to the government prior to public release. The sources noted that the White House Office of the National Cyber Director circulated a draft framework to OpenAI, Anthropic, and Google (GOOG.O) roughly two weeks ago, with all three firms submitting their respective revisions. An AI-related executive order signed by Trump in early June set August 1 as the deadline for developing this framework, which is designed to establish a more standardized review process for powerful new AI models capable of rapidly detecting cybersecurity vulnerabilities. As the deadline draws near, some AI companies have raised concerns in meetings with White House agencies over how the framework will define frontier models and whether it will differentiate between closed-source and open-source models, two sources said. Another outstanding question is the actual level of voluntariness of the framework in practice, particularly after the White House imposed export controls on Anthropic. The Trump administration maintains that compliance with the framework is not mandatory. (Jinshi)
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A U.S. organization projects that AI will discover twice as many cybersecurity vulnerabilities this year as it did last year.
The number of software security vulnerabilities found in popular tech products in 2026 is projected to be roughly double the 2025 count, with this surge largely attributed to the growing capabilities of artificial intelligence (AI) systems. The U.S. National Vulnerability Database (NVD) shows that 45,207 vulnerabilities have been logged between January and this Monday, a figure nearly matching the total for all of 2025. Last year, the database recorded an all-time high in vulnerabilities. Oracle (ORCL.N) reported that its July monthly software update fixed 1,449 security vulnerabilities, an all-time high, compared to just 309 fixes in the same period last year. Microsoft (MSFT.O) disclosed 642 security vulnerabilities in July, also an all-time high, nearly five times the number from the same period a year ago. Google (GOOG.O) discovered and fixed 433 such vulnerabilities in its latest Chrome browser update, versus only 11 in the equivalent update a year prior. Gabriel Shapiro, a distinguished AI research scientist at cybersecurity firm SentinelOne, noted: “We must face the reality that these tools are boosting people’s ability to uncover software vulnerabilities.” Doug Turner, Google’s Chrome engineering director, said vulnerabilities are being found at an “unprecedented scale and speed” due to advances in AI models and corresponding investments.
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Apple faces a lawsuit over a crypto wallet scam on the App Store, with users losing more than $1.8 million.
Apple is being sued by the U.S. District Court for the Northern District of California over allegations it failed to effectively prevent cryptocurrency scam apps on the App Store. Three users allege Apple’s security review mechanisms were flawed, leading them to download fake crypto wallet apps that resulted in total losses exceeding $1.8 million. The lawsuit claims the apps in question impersonate the Bitcoin wallet "Sparrow Wallet", while the official Sparrow Bitcoin Wallet is not actually available on iOS. The three users suffered asset losses after transferring Bitcoin to the fake apps: one lost roughly $875,000, another around $840,000, and the third about $120,000. Plaintiffs argue Apple has long marketed its strict App Store review process as a security advantage, claiming its closed ecosystem reduces malware and scam risks, and thus should be held liable for fraudulent apps on the platform. The lawsuit also cites public criticism from the founder of Sparrow Bitcoin Wallet, stating Apple previously allowed imposter apps to appear on the App Store. The three plaintiffs are seeking a jury trial, restitution of their losses plus additional damages, and demanding Apple enhance risk warnings and security disclosures on the App Store. Apple responded that impersonating other apps violates App Store rules, and the company quickly removes such apps, adding that no imposter Sparrow Wallet apps currently exist on the App Store. Apple previously released data showing its review team rejected over 371,000 app submissions in 2025 that involved impersonation, spam, or user deception.
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