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124 million passwords added to breach database. Yours may be in there, too

PCWorld

PCWorld reports that Have I Been Pwned added 56 million email addresses and 124 million passwords from infostealer malware targeting Windows PCs. These credentials were stolen directly from infected devices rather than corporate breaches, with users often unaware of the ongoing data theft. Immediate password changes, two-factor authentication, and unique passwords for each service are essential to protect against these prevalent cybercriminal tools. The data breach notification service Have I Been Pwned (HIBP) has added a large number of compromised login credentials to its database. In total, 56.3 million email addresses and 124 million passwords have been added. What makes this dataset notable is its origin. Unlike many previous entries, it does not stem from a single cyberattack on an online service. Instead, HIBP says the information was extracted directly from infected computers and devices.


FBI says Russian hackers hijacked old Wi-Fi routers

FOX News

This material may not be published, broadcast, rewritten, or redistributed. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset . Powered and implemented by FactSet Digital Solutions . Mutual Fund and ETF data provided by LSEG . Grandparents are identity theft's biggest payday Do not click fake'account recovery' Amazon email Is Apple Intelligence on your iPhone really secure? Americans need protection against'warrantless surveillance': Rep Chip Roy Spencer Pratt's use of AI to boost campaign sparks debate China approves world's first commercial brain chip Kurt Knutsson unveils his top Father's Day gift picks FBI releases list of'most wanted fraudsters' as crackdown continues Fox News Flash top headlines are here.


Edge's Master Password is gone. Your face now protects your passwords

PCWorld

Microsoft Edge has eliminated its Master Password feature, now requiring Windows Hello biometric authentication (fingerprint, face, or PIN) to access saved passwords. PCWorld reports this change, implemented June 4th, 2026, represents Microsoft's broader shift toward passwordless security and passkey adoption. Windows Hello provides enhanced protection by linking authentication to the physical device rather than relying on traditional master passwords. Microsoft has made a major change to its Edge browser, removing support for the so-called Master Password feature. The Master Password (also known as the Custom Primary Password) was a single "master password" that you had to enter before using password manager features like auto-fill and showing saved login credentials.


Are bank text codes enough to protect you?

FOX News

This material may not be published, broadcast, rewritten, or redistributed. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset . Powered and implemented by FactSet Digital Solutions . Mutual Fund and ETF data provided by LSEG . You have a credit freeze; it still isn't enough Turning 65? Month-by-month plan to protect yourself China's AI growth is about'economic and political leverage,' Rep Hinson says Expert warns'red-green-green alliance' helping China gain AI edge AI's impact on jobs, economy debated as youth express growing fears Jury dismisses Elon Musk's lawsuit against OpenAI and Sam Altman China does not'innovate,' they'replicate': Former DHS spokeswoman Trump to press Xi to'open up' China as tech CEOs join key summit Smart and Safe Tech Are bank text codes enough to protect you?


Robot mower flaw could open your home network

FOX News

Yarbo robot mowers reportedly contain serious security flaws that could expose owners to remote access, live camera viewing and Wi-Fi credential theft, a new report says.


World Password Day: Check if your passwords are safe

FOX News

World Password Day is the perfect time to update old or reused passwords. Credential stuffing attacks make even one weak password a risk to multiple accounts.


Stress-Testing Capability Elicitation With Password-Locked Models

Neural Information Processing Systems

To determine the safety of large language models (LLMs), AI developers must be able to assess their dangerous capabilities. But simple prompting strategies often fail to elicit an LLM's full capabilities. One way to elicit capabilities more robustly is to fine-tune the LLM to complete the task. In this paper, we investigate the conditions under which fine-tuning-based elicitation suffices to elicit capabilities. To do this, we introduce password-locked models, LLMs fine-tuned such that some of their capabilities are deliberately hidden.


CarGurus breach linked to ShinyHunters exposes 12.4M records

FOX News

This material may not be published, broadcast, rewritten, or redistributed. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset . Powered and implemented by FactSet Digital Solutions . Mutual Fund and ETF data provided by LSEG .