How did the XPL attackers use Hyperliquid's rules to teach all DEXs a lesson worth tens of millions of dollars?

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6 hours ago

Author: Carrot

This is not hacking, it's a conspiracy

A few days ago, a textbook-level "precision strike" took place on Hyperliquid, with the protagonist being a token called $XPL. In the end, the attacker managed to trigger a large-scale short liquidation with a cost of less than $200,000, profiting over ten million dollars.

The key point is: this was not a hacking attack; the attacker did not exploit any code vulnerabilities.

On the contrary, they utilized the proud feature of DEXs—complete transparency. This was a hunt conducted in broad daylight, fully compliant with the protocol rules. This incident served as a mirror, reflecting the structural weaknesses hidden beneath the shiny exterior of all current on-chain exchanges (DEXs).

Part One: The Trilogy of Attack: How Did the Hunt Happen?

To understand this attack, you need to know a core mechanism of perpetual contract exchanges: Price Feed. Simply put, contract platforms need a "real price" to determine who profits, who loses, and who should be liquidated. This "real price" usually comes from external sources, such as on-chain spot markets.

The attacker’s script revolves around this "Price Feed" mechanism in a trilogy:

Step One: Finding the Perfect Prey
The attacker found $XPL. The perfection of this token lies in the fact that its perpetual contracts have trading volume on Hyperliquid, but its spot trading is almost entirely concentrated in a small exchange called Zebra on the Arbitrum chain, with extremely low liquidity. This means that with very little money, they could drive the spot price sky-high.

Step Two: Polluting the Price Source
According to on-chain data, the attacker spent about $184,000 in WETH to frantically buy XPL spot on Zebra. The result was immediate, with the spot price being driven up nearly 8 times in a short period. Hyperliquid's price feed mechanism referenced this spot price, thus successfully polluting the "real price" in the contract, artificially pushing it to an absurd height.

Step Three: Harvesting the Short Army
When the contract price soared abnormally, all short positions were forced to face liquidation. On a completely transparent order book platform like Hyperliquid, who would be liquidated at which price level is almost a semi-public secret. The attacker watched this "liquidation map" and precisely pushed the price past the trigger point. A large number of shorts were forcibly liquidated, and the attacker, who had already set up an ambush, easily collected these blood-soaked chips, ultimately profiting about $15 million.

Part Two: Is DEX's "Complete Transparency" a Blessing or a Curse?

This incident raises a soul-searching question: Is the transparency that DEXs pride themselves on a good thing or a curse?

It is a sharp double-edged sword.

For ordinary users, transparency means fairness, verifiability, and no backroom dealings. But in the eyes of attackers, a transparent order book is an attack map, and automated smart contracts are executioners carrying out sentences.

The protocol is neutral; it cannot distinguish between good and evil. As long as you play by the rules, it executes faithfully. This "absolute neutrality" becomes a cash machine for whales in the face of low liquidity markets. This is why, in the face of such naked attacks, the protocol itself is powerless.

Part Three: So, is it safe to retreat to CEX?

Since DEXs are so dangerous, how about returning to the embrace of CEX?

CEXs do have their "firewalls." Strict KYC, internal risk control teams, and price limit mechanisms can effectively increase the difficulty of such attacks. Trying to manipulate a token's contract price with $200,000 on Binance is almost a pipe dream.

But does that mean it's safe? No. CEX merely transforms the risk from "transparent evil" to "invisible evil."

On DEXs, the rules are public, and the risks are calculable. In CEXs, you face a black box. Your biggest risk is no longer external snipers but the exchange itself. The stories of FTX and Alameda Research are the best proof—when self-dealing occurs, you will know nothing until everything goes to zero.

Therefore, the key issue has never been which is better, DEX or CEX, but how to learn from both and create a more evolved species.

Part Four: Finding Answers from the Architectural Foundation - Taking QuBitDEX as an Example

The $XPL incident tells us that simply moving trading on-chain is far from enough. The future of the industry must address these fundamental issues from an architectural level.

First, the price feed mechanism must evolve. A single, low-liquidity spot market can never be the sole basis for determining the life and death of tens of millions of dollars in positions. For example, one of the core principles that QuBitDEX has explored and established since its inception is to aggregate depth data streams from multiple leading CEXs and combine them with a time-weighted average price (TWAP) mechanism, fundamentally making the cost of polluting prices rise exponentially.

Second, absolute transparency needs to be rethought. Is there a possibility to ensure the verifiability of settlements while protecting traders' strategic privacy? This is also the direction QuBitDEX is exploring through its native Layer-1 ZK compatibility. Hybrid trading models like on-chain dark pools can effectively prevent malicious sniping without sacrificing the foundational trust of decentralization.

Finally, the protocol itself must become "smarter." It needs to possess native risk management capabilities, not just be a passive executor. The architecture described in the QuBitDEX white paper features a native AI layer designed as a real-time risk engine capable of dynamically analyzing the market, identifying abnormal trading patterns, and providing a basis for protocol-level risk control. This approach of embedding risk management into the protocol's DNA represents an important evolutionary direction for DEX architecture.

Final Conclusion

The XPL incident has taught everyone a lesson worth millions of dollars: the next generation of DEXs can no longer be simple on-chain replicas. The future of the industry belongs to those protocols that can deeply understand and address these structural vulnerabilities.

True innovation comes from platforms that can deeply synthesize the mature risk control concepts of CEXs with the verifiable and decentralized spirit of DEXs.

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