Lucid WEB
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Overview

Lucid Web - Issues a warning when: Phishing, Scam, Malware, Adult or Gaming risks exists

Lucid Web is based on 5 efficient filters: 1. Anti Scam - Based on several factors, such as the domain age, its backlinks footprint, domain rank, certificates, etc. the extension predicts the risk of a shopping scam for a given website. Efficient against 0-day scam websites and known scam websites. 2. Anti-Phishing - APHISHI protection filter. APHISHI uses image-similarity algorithms to avoid phishing risks. The web-page screenshot is matched against leading Login-Screens of top websites such as Amazon, Goggle, Bing, Yahoo etc, If a match exists and the URL does not belong to these leading domains the page triggers a phishing warning. This approach is efficient especially against 0-day phishing attacks. 3. Anti Malware - To avoid viruses, trojan-horses, warms and/or other malware attacks, based on Google-Safe-Browsing and other platforms for estimating malware risks. 4. Adult Content - Optionally avoid adult content, based on website's declared rating and NLP classifiers for the text of the page, adult-content risk is triggered, whenever such risk is evident. 5. Gaming/Gambling - Optionally warn against gambling websites. Based on top gaming websites list and NLP on the text content of the page.

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Details

  • Version
    1.3
  • Updated
    August 30, 2021
  • Offered by
    Shadow Technologies
  • Size
    297KiB
  • Languages
    English
  • Developer
    Email
    support@shadow.com
  • Non-trader
    This developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.

Privacy

Lucid WEB has disclosed the following information regarding the collection and usage of your data. More detailed information can be found in the developer's privacy policy.

Lucid WEB handles the following:

Web history
Website content

This developer declares that your data is

  • Not being sold to third parties, outside of the approved use cases
  • Not being used or transferred for purposes that are unrelated to the item's core functionality
  • Not being used or transferred to determine creditworthiness or for lending purposes

Support

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