@www.webroot.com
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References:
www.eweek.com
, www.webroot.com
Cybercriminals are increasingly using sophisticated tactics to deceive individuals and steal sensitive information. One common method involves sending fraudulent text messages, known as smishing, that impersonate legitimate businesses like delivery services or banks. These scams often entice victims to click on malicious links, leading to identity theft, financial loss, or the installation of malware. Webroot emphasizes mobile security, particularly protecting phones from text scams with potential identity theft and malware planting. The Federal Trade Commission reported that consumers lost $470 million to scams initiated through text messages in 2024.
Google is intensifying its efforts to combat these online threats by integrating artificial intelligence across its various platforms. The company is leveraging AI in Search, Chrome, and Android to identify and block scam attempts more effectively. Google's AI-powered defenses are capable of detecting 20 times more scam pages than before, significantly improving the quality of search results. Furthermore, AI is used to identify fraudulent websites, app notifications, calls, and direct messages, helping to safeguard users from various scam tactics. A key component of Google's enhanced protection is the integration of Gemini Nano, a lightweight, on-device AI model, into Chrome. This allows for instant identification of scams, even those that haven't been previously encountered. When a user navigates to a potentially dangerous page, Chrome evaluates the page using Gemini Nano, which extracts security signals to determine the intent of the page. This information is then sent to Safe Browsing for a final verdict, adding an extra layer of protection against evolving online threats. Recommended read:
References :
info@thehackernews.com (The@The Hacker News
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Google Chrome is set to integrate on-device AI, leveraging the 'Gemini Nano' large-language model (LLM), to proactively detect and block tech support scams while users browse the web. This new security feature aims to combat malicious websites that deceive users into believing their computers are infected with viruses or have other technical issues. These scams often manifest as full-screen browser windows or persistent pop-ups, designed to make them difficult to close, with the ultimate goal of tricking victims into calling a bogus support number.
Google is addressing the evolving tactics of scammers, who are known to adapt quickly to exploit unsuspecting users. These deceptive practices include expanding pop-ups to full-screen, disabling mouse input to create a sense of urgency, and even playing alarming audio messages to convince users that their computers are locked down. The 'Gemini Nano' model, previously used on Pixel phones, will analyze web pages for suspicious activity, such as the misuse of keyboard lock APIs, to identify potential tech support scams in real-time. This on-device processing is crucial as many malicious sites have a very short lifespan. When Chrome navigates to a potentially harmful website, the Gemini Nano model will activate and scrutinize the page's intent. The collected data is then sent to Google’s Safe Browsing service for a final assessment, determining whether to display a warning to the user. To alleviate privacy and performance concerns, Google has implemented measures to ensure the LLM is used sparingly, runs locally, and manages resource consumption effectively. Users who have opted-in to the Enhanced Protection setting will have the security signals sent to Google's Safe Browsing service. Recommended read:
References :
info@thehackernews.com (The@The Hacker News
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Google is integrating its Gemini Nano AI model into the Chrome browser to provide real-time scam protection for users. This enhancement focuses on identifying and blocking malicious websites and activities as they occur, addressing the challenge posed by scam sites that often exist for only a short period. The integration of Gemini Nano into Chrome's Enhanced Protection mode, available since 2020, allows for the analysis of website content to detect subtle signs of scams, such as misleading pop-ups or deceptive tactics.
When a user visits a potentially dangerous page, Chrome uses Gemini Nano to evaluate security signals and determine the intent of the site. This information is then sent to Safe Browsing for a final assessment. If the page is deemed likely to be a scam, Chrome will display a warning to the user, providing options to unsubscribe from notifications or view the blocked content while also allowing users to override the warning if they believe it's unnecessary. This system is designed to adapt to evolving scam tactics, offering a proactive defense against both known and newly emerging threats. The AI-powered scam detection system has already demonstrated its effectiveness, reportedly catching 20 times more scam-related pages than previous methods. Google also plans to extend this feature to Chrome on Android devices later this year, further expanding protection to mobile users. This initiative follows criticism regarding Gmail phishing scams that mimic law enforcement, highlighting Google's commitment to improving online security across its platforms and safeguarding users from fraudulent activities. Recommended read:
References :
@PCWorld
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References:
BleepingComputer
, Anonymous ???????? :af:
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Google Chrome has introduced a new layer of security, integrating AI into its existing "Enhanced protection" feature. This update provides real-time defense against dangerous websites, downloads, and browser extensions, marking a significant upgrade to Chrome's security capabilities. The AI integration allows for immediate analysis of patterns, enabling the identification of suspicious webpages that may not yet be classified as malicious.
This AI-powered security feature is an enhancement of Chrome's Safe Browsing. The technology apparently enables real-time analysis of patterns to identify suspicious or dangerous webpages. The improved protection also extends to deep scanning of downloads to detect suspicious files. Recommended read:
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