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PhishGuard - AI Phishing Detector

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Overview

Detects phishing in emails using Deep Learning (LSTM + CNN).

PhishGuard - Advanced Phishing Detection System This extension represents a modern client-side cybersecurity solution designed to protect users against social engineering attacks. Unlike traditional solutions that rely on static blacklists, PhishGuard leverages the power of Deep Learning to identify new, previously unknown malicious patterns ("zero-day" attacks). Hybrid Architecture: The system integrates two specialized neural models working in parallel: Semantic Analysis (NLP): A Bidirectional LSTM model that "reads" the email body to detect attack-specific language (induced urgency, threats, financial requests). Structural Analysis (URL): A 1D CNN network that scans links at the character level to identify obfuscation, typosquatting (e.g., g00gle.com), and atypical structures. Privacy by Design: Built on TensorFlow.js, the extension executes all calculations locally within the user's browser. No emails and no links ever leave the device, effectively eliminating the risk of personal data leakage to third-party servers.

Details

  • Version
    1.1.1
  • Updated
    February 14, 2026
  • Offered by
    Khatteryna
  • Size
    3.23MiB
  • Languages
    English
  • Developer
    Email
    irimiakhatteryna@gmail.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

Manage extensions and learn how they're being used in your organization

PhishGuard - AI Phishing Detector 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.

PhishGuard - AI Phishing Detector handles the following:

Authentication information
Personal communications
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

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