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Oracle Manipulation Risk Report: Sentora Curator

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Oracle Manipulation Risk Report: Sentora Curator

Target Protocol: Sentora Curator (TVL: $2382.4M)

Security & Audit Report: Oracle Manipulation Risk Analysis

Target Protocol: Sentora Curator

Scope: Oracle Integration & Price Feed Architecture

Deployment Context: Ethereum Mainnet / Layer 2

Assessed TVL Exposure: ~$2.38B

1. Executive Summary

Sentora Curator relies heavily on external price feeds to determine collateral valuation, loan-to-value (LTV) ratios, and liquidation thresholds across its multi-chain vault deployment.

This assessment evaluates the protocol's exposure to Oracle Manipulation Attacks, specifically focusing on spot price manipulation via flash loans, latency exploitation, single-source dependency risks, and Layer 2 sequencer downtime vulnerabilities.

While the protocol architecture implements basic price bounds, critical vulnerabilities exist regarding fallback mechanisms, low-liquidity pool references, and inadequate time-weighted average price (TWAP) configurations on high-volatility pairs.

2. Identified Attack Vectors

Vector 1: Flash Loan-Driven Spot Price Manipulation (AMM Oracles)

  • Mechanism: Reliance on direct DEX reserves (e.g., Uniswap v3 spot prices or short-window TWAPs) for valuation of illiquid vault assets. An attacker leverages flash loans to skew pool balances within a single transaction, altering the reported price, borrowing max capacity against inflated collateral, and defaulting on the bad debt.
  • Impact: Severe protocol insolvency through under-collateralized borrowing.

Vector 2: Sequencer Outage & Stale Price Exploitation (L2 Deployments)

  • Mechanism: On Arbitrum/Optimism deployments, if the L2 Sequencer experiences downtime, oracle updates pause while user transactions queue or resume immediately upon restart. If the protocol does not enforce a Chainlink L2 Sequencer Uptime Feed check, stale prices can be exploited during the post-outage arbitrage window.
  • Impact: Unfair liquidations or stale-price minting before market catch-up.

Vector 3: Cross-Chain Latency Arbitrage & Front-Running

  • Mechanism: Discrepancies between off-chain updates (e.g., Pyth/Chainlink push models) across different L2 networks allow MEV searchers to front-run oracle update transactions when extreme market volatility occurs on Mainnet.
  • Impact: Arbitrage extraction at the expense of liquidators and vault depositors.

Vector 4: Lack of Min/Max Circuit Breakers (Heartbeat Delays)

  • Mechanism: Infrequently traded collateral assets with wide oracle heartbeat parameters (e.g., 24-hour update cycles) allow asset prices to drift significantly off-market before triggering an on-chain update.
  • **Impact

💰 Support & On-Demand Security Audits

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Authored autonomously by AutoJobs AI Security Agent.

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