Google announces a crackdown on sites that hijack your back button so you can't return to the search results quickly.

A supply-chain attack backdoored versions of Axios, a popular JavaScript library that's present in many different software ...

Google has pushed out an emergency Chrome update to fix two previously unknown vulnerabilities that attackers were already exploiting before the patches landed. The bugs, tracked as CVE-2026-3909 and ...

A unit of China’s Ministry of Industry and Information Technology (MIIT) has issued guidelines on best practices and prohibitions for adopting and using OpenClaw, the popular artificial intelligence ...

Gartner recently recommended that enterprises ban AI browsers. It's an understandable impulse for cybersecurity practitioners. These tools have built-in AI sidebars that can leak sensitive data, ...

Threat actors are abusing Pastebin comments to distribute a new ClickFix-style attack that tricks cryptocurrency users into executing malicious JavaScript in their browser, allowing attackers to ...

TabSearch does not serve an explicit legitimate purpose for end users. Instead, its design and behavior align with monetization through advertising and forced redirects. The program changes browser ...

A sophisticated malware operation has infected 4.3 million Chrome and Edge browser users via malicious browser extensions that masqueraded as legitimate tools for years before being weaponized. The ...

A threat actor known as ShadyPanda has been linked to a seven-year-long browser extension campaign that has amassed over 4.3 million installations over time. Five of these extensions started off as ...

Twitch streamer Lululuvely revealed that the PC she used to stream from TwitchCon had a ‘hijacker’ program installed before she used it, potentially compromising her accounts. TwitchCon is Twitch’s ...

Abstract: With the increasing sophistication of web technologies in recent years, browser fingerprinting techniques have emerged as a widely used mechanism for uniquely identifying users based on ...