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  • Risk Scanning
  • Advanced Threat Detection
  • Digital Footprint Checker
  • Advanced Forensics
  1. ECOSYSTEM

Veritas Explorer (B2C)

PreviousUnderstanding Known-Plaintext Attacks and How to Prevent ThemNextVeritas Audit (B2B)

Last updated 5 months ago

Risk Scanning

Risk scanner enables users to perform in-depth asset and smart contract analyses across multiple blockchain networks with ease and speed.

Key features:

  • Multi-chain compatibility: Scan assets and contracts on various blockchain networks seamlessly.

  • Rapid analysis: Deliver results within seconds, ensuring real-time protection.

  • Concise reporting: Provide easy-to-understand analysis reports, breaking down complex security concepts into accessible information.

  • Broad coverage: Examine a wide range of potential vulnerabilities and risks associated with digital assets and smart contracts.

This tool democratizes blockchain security, allowing even non-technical users to make informed decisions about their digital assets and interactions with smart contracts.

Advanced Threat Detection

Advanced Threat Detection system serves as a proactive shield against a wide array of malicious activities in the blockchain space. This feature leverages machine learning algorithms to identify and mitigate potential threats before they can cause harm.

Key capabilities:

  • Phishing campaign detection: Identify and flag suspicious websites and communications attempting to steal user credentials or assets.

  • Fraudulent dApp identification: Analyze decentralized applications to detect those with malicious intent or vulnerabilities.

  • Scam project recognition: Utilize pattern recognition and behavioral analysis to identify potential scam projects before they can attract victims.

  • Real-time monitoring: Continuously scan the blockchain ecosystem for emerging threats and new attack vectors.

  • Predictive analysis: Use historical data and AI to anticipate potential future threats and vulnerabilities.

By providing users with early warnings and detailed threat assessments, this feature significantly reduces the risk of falling victim to blockchain-related scams and frauds.

Digital Footprint Checker

Digital footprint checker is an advanced tool designed to provide users with a comprehensive overview of their internet presence and activity. This feature is offering deep insights into a user's digital identity and interactions across the web.

Key functionalities:

  • DIgita footprint analysis: Automatically enumerate a user's digital presence across various platforms and websites.

  • Wallet address profiling: Collect and analyze linked address labels, providing a detailed characterization of wallet activity.

  • ENS name integration: Incorporate Ethereum Name Service data for a more human-readable and comprehensive profile.

  • Behavioral analysis: Examine transaction patterns, timing, and involved entities to build a detailed picture of user activity.

  • Risk assessment: Identify potential security risks based on historical interactions and connections.

This tool serves dual purposes. For individual users, it offers unprecedented visibility into their own web activities, helping them understand their digital footprint and identify any potential security risks. For investigators and security professionals, it provides a powerful means of tracking and analyzing the activities of potential threat actors.

Advanced Forensics

Veritas Protocol's forensics tool is a sophisticated system designed for in-depth investigation of cryptocurrency transactions and movements. This feature combines on-chain and off-chain data analysis to provide a comprehensive view of digital asset flows and interactions.

Key capabilities:

  • Transaction tracing: Follow the path of cryptocurrency transactions across multiple wallets and exchanges.

  • Cross-chain analysis: Track assets as they move between different blockchain networks.

  • Temporal mapping: Visualize transaction timelines to identify patterns and anomalies.

  • Entity identification: Link transactions to known entities, including exchanges, mixers, and other services.

  • Off-chain data integration: Incorporate relevant off-chain data sources to provide context and enhance investigative capabilities.

  • Anomaly detection: Utilize machine learning algorithms to flag unusual transaction patterns or behaviors.

This powerful forensics tool is invaluable for a range of users, from individual investors tracking their own assets to law enforcement agencies investigating financial crimes.

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