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<p>The following findings represent complex logical vulnerabilities detected through advanced AI analysis, including problematic code identification and suggested remediation.</p>
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<h4>🧠 DeepLogic: Potential Unfair Reward Capture via Transactional Liquidity</h4>
<p>The <code>claim_rewards</code> function calculates a user's reward share based on their instantaneous contribution to <code>pool_state.total_liquidity</code>. There appears to be no time-lock, vesting, or snapshot mechanism to ensure the liquidity was provided for a minimum duration. This makes the system vulnerable to flash-deposit/withdraw attacks within a single transaction, allowing an attacker to unfairly claim a large portion of accrued rewards.</p>
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<h5class="risk-title">⚠️ Risk Scenario:</h5>
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<p>An attacker with significant capital could execute an atomic transaction: 1) deposit massive liquidity, 2) call <code>claim_rewards</code>, 3) withdraw massive liquidity. This exploits the instantaneous calculation, draining rewards from genuine, long-term liquidity providers.</p>
let rewards_to_claim = pool_state.accumulated_rewards * user_share;
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// ... further logic using rewards_to_claim ...</code></pre>
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<h5class="section-title">💡 Explanation of Fix:</h5>
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<p>The proposed fix introduces the concept of time-weighted liquidity. Instead of using the current liquidity amount, the system would track how much liquidity a user has provided over time. This requires modifying <code>get_user_liquidity</code> and potentially adding new state fields to the <code>Pool</code> and <code>User</code> structs (e.g., <code>last_deposit_time</code>, <code>cumulative_liquidity_seconds</code>). A simplified <code>get_time_weighted_user_liquidity</code> and <code>total_time_weighted_liquidity</code> are placeholder for the necessary new logic.</p>
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