With our real-time risk scores and colour coding system, you can make informed decisions when interacting with Tron, Bitcoin (BTC), and Ethereum (ETH) wallets.

Key features:
🔗 Domain Tracking: Explore the other domains associated with a wallet address, providing valuable context and insights into its activity.
💼 ENS Integration: Effortlessly identify trusted addresses through integration with ENS (Ethereum Name Service), enhancing your security measures.
🛡Comprehensive Risk Assessment: Our advanced algorithm analyses factors such as fraud, reputation, and lending scores to provide you with a comprehensive risk assessment score.
🚦Real-time Colour Coding: Wallets are colour-coded based on their risk scores, allowing you to quickly identify potential risks.
🔐Enhanced User Awareness: View security risk screening along with a detailed description of the risk category associated with each wallet address.
🔍Wide Range of Risk Factors: Our risk scoring factors include engagement with suspicious and high-risk wallets, sanctioned wallets or entities, phishing scams, pump-and-dump schemes, rug pulls, hackers, and other individuals or groups that have been identified as high-risk.
💻Seamless Integration: Download and install the Wallet Highlighter Edge extension effortlessly.

How Wallet Highlighter Works:
Wallet Highlighter scans visible text on a webpage for wallet addresses using specific patterns.
Identified wallet addresses are transmitted to a secure risk endpoint for retrieval of risk-related information.
Colour codes are assigned to each wallet address based on its risk score.
Concise explanations outline the reasons for categorising each address under a specific risk category.
Wallet addresses found within the webpage are highlighted.
Hovering over a highlighted address provides a brief description of the associated risk category.
Enhances user awareness and real-time security.

Additional Resources:
Website: https://www.wallethighlighter.com/
Github: https://github.com/w5h10
Twitter: https://twitter.com/W_Highlighter