A critical Cosmos EVM balance flaw was exploited on six chains after Cosmos Labs confirmed all Cosmos EVM chains were affected.
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GiveWP WordPress donation plugin flaw lets hackers execute server commands
A maximum-severity vulnerability in the GiveWP plugin for WordPress allows an unauthenticated attacker to execute arbitrary commands on the hosting server.
The security issue is identified as CVE-2026–82222 and affects GiveWP through version 4.16.7.1. It was reported by bug researcher Udin Chan on July 28 through the Patchstack vulnerability intelligence platform.
The GiveWP plugin has more than 100,000 installs and allows collecting donations and managing fundraising campaigns.
Toy-making giant Hasbro disclose data breach affecting employees
Hasbro, one of the world’s largest toy and game companies, has disclosed that attackers have accessed the personal and financial information of an undisclosed number of employees.
Founded in 1923, Hasbro is a publicly traded American multinational entertainment conglomerate on the NASDAQ and owns many brands, including Monopoly, Clue, Nerf, Transformers, Play-Doh, Peppa Pig, Scrabble, Magic: The Gathering, Dungeons & Dragons, and many others.
The company has filed data breach notification letters with the Massachusetts Attorney General’s Office, but didn’t disclose the total number of affected individuals or when the incident was detected.
Catastrophic AI Risk Study Finds 18 Major AI Threats Could Escalate Within 5 Years
MIT FutureTech and the University of Queensland surveyed 272 AI experts from 37 countries on 24 categories of catastrophic AI risk, defined as over 1 million deaths, over $100 billion in losses, or civilizational-scale damage. Under current development trajectories, 18 of 24 risk categories cleared a 10% five-year probability threshold. Even with pragmatic mitigations applied, 5 categories remained above that bar. Weapons, cyberattacks, and power concentration topped the list.
Catastrophic AI risk has mostly lived in op-eds and open letters. This study puts numbers on it instead. MIT FutureTech and the University of Queensland’s School of Psychology surveyed 272 international AI experts, drawn from industry, academia, government, and civil society across 37 countries, asking them to evaluate 24 distinct AI risk categories, according to MIT Sloan’s release of the working paper. A catastrophic outcome was defined precisely: more than 1 million deaths, more than $100 billion in financial loss, or civilizational-scale intangible impacts.
Under a business-as-usual trajectory, experts judged 18 of the 24 risk categories to carry at least a 10% probability of a catastrophic outcome within five years, according to the University of Queensland’s summary of the findings. Even after applying pragmatic mitigations, the kind of cost-effective interventions governments and companies could plausibly adopt, 5 categories still cleared that bar. Catastrophic AI risk at that level would be treated as intolerable in almost any other mature industry, which is exactly the comparison MIT FutureTech’s own director drew.
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