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Oracle is something everyone is familiar with. In previous educational articles, we have already explained the concept and logic of oracles in detail. So now, as the tool that connects the real world and the crypto world, what happens if the oracle gets manipulated? Have you ever thought about this question: Is the price you are seeing actually the real price? Did that question give you chills? If an oracle gets manipulated, DeFi, lending, derivatives, trading markets, and even NFT valuation systems will all become extremely fragile in the very same second. And this happens far more often — and is far more dangerous — than you might imagine. https://news.superex.com/articles/19313.html Why Is Oracle Manipulation the Most “Invisible” Systemic Risk in the Entire Crypto Industry? This involves another question: Where do prices in the real world come from? For example: Stock prices come from the stock market; GDP data comes from national statistical offices; Bank interest rates come from central banks. This is the core advantage of centralized systems — every piece of data comes from an authoritative centralized institution. But this is exactly what the crypto world lacks. There is no authoritative data source, and all prices are synchronized by the component known as the oracle. In other words, every DeFi protocol entrusts its life to a “price feeding system.” So the problem is: If this price feeding system gets attacked, what will happen to all the funds on-chain? The answer is brutal: the protocol will execute smart contracts based on wrong prices, and attackers can complete zero-risk arbitrage and take away hundreds of millions within seconds. Why Is Oracle Manipulation So Terrifying? Because: It does not show obvious signs like a 51% attack. It does not require many victims to cooperate like phishing attacks. It does not require a code vulnerability like contract exploits. It attacks systemic design, not individual projects. In other words, it allows a single attacker to influence the economic system of an entire chain. Nearly all top-tier DeFi protocols have suffered from this type of attack, including: Curve Finance bZx Mango Yearn Synthetix Harvest Cream The structural mispricing system of LUNA–UST This is exactly why more and more security organizations believe that oracle manipulation is the biggest black swan in DeFi. To Understand Oracle Manipulation, We Must First Understand the Essence of Oracles In earlier educational articles, we built a basic understanding of oracle frameworks and logic. Today, we’ll go deeper. Conceptually, an oracle is the bridge between off-chain and on-chain information. It is responsible for transmitting data from the external world into the blockchain, allowing smart contracts to operate with reliable prices. Common data types include: Asset prices (BTC, ETH, BNB, etc.) Commodity prices (gold, oil) Interest rates Volatility NFT floor prices Sports results Weather data KYC information The valuation of RWAs (real-world assets) The primary mission of an oracle is simple: Provide accurate, timely, and manipulation-resistant data.If an oracle’s anti-manipulation capability is weak: DeFi = the attacker’s cash machine. The Nature of Oracle Manipulation: Altering Prices While Smart Contracts Execute Unconditionally One major trait of smart contracts is that they trust only on-chain data and do not trust the external world. This gives attackers an opening. When an oracle delivers incorrect data: Smart contracts automatically treat it as the only correct price. Thus, all on-chain behaviors execute based on wrong prices, including: Liquidation of collateral Borrowing capacity adjustments Perpetual funding rate distortions Incorrect staking reward calculations Faulty AMM curve behavior Overvaluation or undervaluation of RWA collateral Huge swings in NFT floor prices This is exactly what attackers exploit: once they can manipulate the oracle, they can manipulate the protocol’s entire pricing logic. DeFi becomes blind — and attackers hold the radar. Oracle Attack Categories: Four Core Methods + Advanced Composite Attacks Oracle manipulation is not a single technique — it is a complete system of attack methods. Although there are many classification systems, here we reorganize them based on “attack path + economic model,” which is more useful for developers and investors. Category 1 | Thin Liquidity Pool Price Manipulation Attack process: Attacker borrows huge capital via flash loans Executes extreme trades on a DEX (e.g., Uniswap) AMM pool is thin → price moves dramatically DeFi protocols using DEX prices as oracles are misled Attacker exploits wrong prices for high-leverage arbitrage Repays flash loan → keeps profit This mechanism is the root cause behind attacks on bZx, Harvest, Value DeFi, and many others. Why is this attack so classic? Low cost Extremely fast (completed within hundreds of milliseconds) High returns No need for a code vulnerability Fully permitted by public protocol mechanisms If a project uses DEX price as an oracle — it is a massive design risk. Category 2 | Oracle Node Corruption Attackers directly compromise oracle nodes so the nodes submit wrong data. This happens especially in centralized or low-node-count oracle systems. Typical methods: Bribing node operators Controlling oracle decisions via governance tokens Hijacking nodes through network attacks This type of attack is hidden but extremely destructive. Category 3 | Price Update Delay Attacks Some protocols delay oracle updates to save gas. Attackers take advantage of this: Execute arbitrage using outdated prices Profit during highly volatile markets Exploit delayed RWA valuations This attack requires no direct price manipulation — merely exploiting stale prices.Many RWA protocols in 2022–2023 suffered from this. Category 4 | Cross-Chain Oracle Synchronization Attacks As cross-chain systems grow, more projects rely on the same oracle across multiple chains. Attackers exploit different update speeds between chains for arbitrage. Example: Chain A price updates fast Chain B price updates slowly Attacker arbitrages lending protocol through the timing difference These attacks are complex but extremely profitable. Advanced Attacks | Composite Manipulation Top attackers no longer use single attack vectors. Instead, they combine multiple methods: Examples: AMM manipulation + stale prices + governance attack Flash loan + oracle corruption + NFT floor price manipulation Cross-chain timing differences + structural collateral valuation confusion Mango and multiple Cream attacks belong to this category.Composite attacks will become the biggest systemic threat to DeFi. Why Is Oracle Manipulation So Persistent? Understanding Its Underlying Logic To fix oracle manipulation, we must understand why attackers can conduct “legitimate arbitrage within a reasonable framework.” Note — this is legitimate arbitrage, fundamentally different from hacks like cross-chain bridge exploits. Oracle manipulation succeeds due to three core reasons: AMM Models Are Naturally Manipulable (Mathematically Determined) AMM = automated market maker based on math, not order books. In AMM models, if an attacker executes extremely large single-sided trades, prices will shift violently. In the Uniswap v2 x*y=k model, this distortion is very obvious. This is not a bug — it is the mechanism itself. Smart Contracts Cannot “Question” Prices — They Must Accept Them Smart contracts cannot distinguish real vs. manipulated data. They simply accept oracle prices as the absolute truth. Thus, oracle manipulation is a financial attack, not a technical hack. Attacks Can Be Completed in a Single Transaction (Flash Loans) Flash loans reduce: Attack cost → to zero Attack risk → to zero This makes oracle manipulation extremely attractive for attackers. Real Case Studies: Understanding Multi-Million-Dollar Oracle Failures Below are the most representative cases to help you understand these mechanisms clearly. Case 1: Mango Markets Attack (100 million USD) Attacker steps: Artificially pumped the MNGO price Mango lending system relied on this price Price became massively inflated Attacker borrowed huge sums using overvalued collateral Price collapsed → lending pool failed This is the classic “pump oracle price → borrow maximum capital” attack. Case 2: Harvest Finance (24 million USD) Attacker exploited thin liquidity in Curve pools. Flash loans distorted the pool price. Harvest’s oracle lacked protection → entire pool suffered pricing collapse. Case 3: bZx (multiple attacks, total 8 million USD) bZx was not attacked once but several times with similar methods. This proves: If a project uses the wrong oracle architecture, it will NEVER be secure. Impact of Oracle Manipulation on the Entire Crypto Market The impact isn’t limited to a single protocol. It affects: On-chain credit systems RWA legitimacy Lending system stability Reliability of perpetual markets TVL and liquidity inflows Institutional trust toward DeFi An oracle is equivalent to: on-chain central bank statistical bureau + Nasdaq price source + settlement system If oracles are unreliable, DeFi cannot become a real financial ecosystem. How Can Normal Users Avoid Becoming Victims? Just remember these three rules: 1. Do NOT use any borrowing protocol that relies on DEX spot prices This is the number one source of risk. 2. Do NOT collateralize assets in protocols with low TVL and unclear oracle mechanisms If TVL < 20 million USD → high risk. 3. Do NOT participate in borrowing/leveraging long-tail assets Every protocol exploited by oracle attacks shared one trait: They used long-tail assets. SuperEx Perspective: Why We Emphasize This Risk As a global exchange, SuperEx highlights oracle manipulation because: It is the most overlooked black swan in crypto It can destroy a project in 1 second It damages the entire industry’s trust It directly affects user asset safety and on-chain experience It influences exchange listing evaluation policies Oracle manipulation is not a code bug — it is a systemic threat. With the rise of RWAs, on-chain lending, Layer 2 expansion, and cross-chain bridges, this type of attack will only become more complex. SuperEx will continue to monitor and educate users about these risks so more people can understand the real underlying logic of on-chain finance.

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