AISECURITY

Research Summary

The report by OneKey Security Team and OKX Web3 Wallet Security Team discusses the risks associated with various physical devices used for cryptocurrency transactions and storage. It provides real-life examples of device risks, preventive measures, and professional recommendations for physical device security. The report also explores the potential risks of emerging virtual technologies like AI deepfakes and offers strategies to mitigate these risks.

Key Takeaways

Real-life Cases of Device Risks

  • Hardware Wallet Tampering: The report highlights a case where a user purchased a hardware wallet from an unauthorized platform, which led to significant losses due to tampered firmware. The report recommends purchasing hardware wallets from official or trusted channels and performing a complete official verification process before use.
  • Phishing Attacks: Another case involved a user falling victim to a phishing attack, losing all assets. The report advises against entering private keys or recovery phrases on unverified websites and using the hardware wallet’s screen to verify all transaction and operation information.
  • Malicious Software: A user downloaded malicious software from an unverified source, leading to asset loss. The report suggests downloading software from official channels, regularly updating related software and firmware, and using antivirus software and firewalls for protection.

Physical Device Risks

  • Device Loss or Damage: Loss or damage to hardware wallets or computers may result in the loss of private keys, making it impossible to access crypto assets.
  • Physical Intrusion: Unauthorized physical access to devices can lead to the direct acquisition of private keys or sensitive information.

Network Security Risks

  • Malware and Viruses: User devices can be attacked through malware to steal private keys or sensitive information.
  • Phishing Attacks: Deceptive attempts to trick users into providing private keys or login credentials by posing as legitimate services.
  • Man-in-the-middle (MITM) Attacks: Communication between users and the blockchain network can be intercepted and tampered with.

Private Key Security Measures

  • Secure Storage Devices: The report recommends using reliable hardware wallets or other cold storage devices to reduce the risk of private keys being stolen by network attacks.
  • Security Awareness Education: Enhancing awareness and protection of private key security is crucial. Users should be cautious of any webpage or program requiring private key input.
  • Secure Storage of Mnemonic Phrases and Private Keys: Users should avoid taking photos, screenshots, or recording mnemonic phrases online. Instead, they should write them down on paper and store them in a safe place.

Emerging Virtual Technology Risks

  • AI Forgery Risks: The report discusses the risks of AI deepfakes and suggests using AI deepfake detection products and tools to educate users on identifying deepfakes.
  • Data and Privacy Risks: The use of large models in various fields brings risks to user data and privacy. Users should protect personal privacy information when interacting with chatbots.
  • Content Generation Abuse Risks: To mitigate the risks of misinformation and intellectual property issues caused by content generation abuse, some products can detect whether text content is AI-generated.

Actionable Insights

  • Secure Purchase and Verification: Users should purchase hardware wallets from official or trusted channels and perform a complete official verification process before use.
  • Enhanced Security Measures: Users should enhance their security measures by downloading software from official channels, regularly updating related software and firmware, and using antivirus software and firewalls for protection.
  • Private Key Security: Users should use reliable hardware wallets or other cold storage devices, enhance awareness and protection of private key security, and securely store mnemonic phrases and private keys.
  • AI Deepfake Detection: Users should use AI deepfake detection products and tools to educate themselves on identifying deepfakes to mitigate AI forgery risks.
  • Data Privacy Protection: Users should protect personal privacy information when interacting with chatbots and avoid directly entering sensitive information like private keys, API keys, or passwords.
Categories

Related Research