🛠️ 6.Core Features Demonstration & Case Studies
✨ 6.1 Malicious Contract Detection Example
🧠 Scenario: A user attempts to interact with a newly deployed, unaudited smart contract.
🔍 ChainGuard Detection Flow:
Real-time analysis of contract code structure and behavioral patterns.
Comparison against a historical malicious contract database.
Identification of high-risk behaviors (e.g., infinite approvals, forced transfers) triggers a red alert.
🛡️ Response Action: Warns the user to abort or automatically blocks the transaction based on preset rules.
✨ 6.2 High-Risk Transaction Alert Demonstration
⚡ Scenario: A large on-chain asset transfer occurs alongside abnormal price fluctuations.
🔎 ChainGuard Detection Flow:
Captures high-value transactions and correlates them with market price anomalies.
Detects potential pump-and-dump or wash trading activities.
📢 Response Action: Sends urgent alert notifications to users and recommends raising transaction approval thresholds.
✨ 6.3 Intelligent Automation Operation Use Case
🤖 Scenario: A user sets a rule to automatically sell half of a token's holdings if its price increases by more than 30%.
⚙️ ChainGuard Execution Flow:
Monitors the token's real-time market performance.
When conditions are met, automatically initiates a partial sell and records the transaction.
🎯 Result: Helps users secure profits without constantly monitoring markets, reducing manual intervention risks.
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