Loss Exceeds $7.5 Million: Analysis of the Honeypot Attack Targeting MEV Bot and Tracking of Stolen Funds

marsbitPublished on 2026-06-22Last updated on 2026-06-22

Abstract

On June 21, Jaredfromsubway.eth, one of Ethereum's most active MEV bots, suffered a sophisticated honeypot attack, losing over $7.5 million in crypto assets. Attackers deployed a complex contract system, including a coordinator, trigger, and fake token/pair contracts, to exploit the bot's arbitrage logic. The core attack trick involved baiting the bot with transactions: small trades appeared normal and consumed token approvals, while larger trades preserved these approvals by using fake swaps. This left the bot with large, unused approvals for assets like USDC, USDT, and WETH. The attacker then drained these approvals in a final step. The stolen funds—$2.87M USDC, $2.04M USDT, and 1,474 WETH—were consolidated and partially laundered through Tornado Cash. This incident highlights that MEV bots must not rely solely on simulated profits for security. Extra caution is required with unfamiliar contracts or custom wrappers in arbitrage paths, and post-transaction allowance checks are strongly recommended.

On June 21, Jaredfromsubway.eth, one of the most active MEV Bots on the Ethereum network, fell victim to a meticulously orchestrated "honeypot attack," resulting in the loss of over $7.5 million worth of crypto assets. The following is Beosin Security Team's analysis of this attack and tracking of the stolen fund flow.

Attack Process Analysis

Attack Contract Family

- Coordinator Contract (0xb84db016324e8f2bfdd8dd9c260338aee0a8df52): Responsible for recording whether the current block is in an 'armed' state and, in the final stage, cyclically calling sub-contracts to drain funds.
- Trigger Contract (0x4de8c729a064ff6087cc84a4152969349e4feb98): Responsible for setting the state of fake trading pairs within the same block, making the arbitrage path appear executable.
- Sub-contract / Fake Token Contract: Disguised as a normal ERC-20 token, used to obtain genuine approvals.
- Hub Contract: Responsible for paying out a small amount of real profit, making the MEV Bot believe the opportunity is profitable.
- Ring V2 Pair: Fake Uniswap v2 trading pair.
- Fake Intermediate Token Contract: Used to construct multi-hop arbitrage paths, such as fCAP, fUSDC.

The Key to the Attack: Deceiving Approvals

By analyzing on-chain transactions, the attacker constructed multiple sets of bait transactions:

- Large USDC: The bot profited about 36.997120 USDC, but left behind an approval for 20 USDC.
- Large USDT: The bot profited about 37.053440 USDT, but left behind an approval for 20 USDT.
- Large WETH: The bot profited about 0.0179 WETH, but left behind an approval for 16 WETH.
- Small transactions behaved normally, with the approval consumed within the same transaction to reduce suspicion.

In small transactions, after the bot authorized a real token allowance, the sub-contract would immediately transfer the real tokens away. The approval was consumed, appearing completely normal.

In large transactions, however, the sub-contract would not call `transferFrom` to move the real tokens. Instead, it would directly mint fake tokens via the fake trading pair. The bot thought it had completed the normal pre-swap steps, but the real token approval remained intact.

This is the core of the entire attack: small transactions normally consume approvals, while large transactions preserve them.

Attack Procedure

Taking the attack transaction targeting USDC as an example:

(1) The attacker calls the coordinator to set the current block as 'armed'.
(2) The attacker calls the trigger to update the state of multiple fake Ring V2 pairs.
(3) The MEV Bot detects the arbitrage opportunity and executes the transaction.

The internal process of the MEV Bot transaction is roughly as follows:

(1) The MEV Bot contract approves a large USDC allowance to a specific sub-contract.
(2) The MEV Bot calls the `wrapTo`/`wrap` function of the sub-contract.
(3) Because the current state is 'armed', the sub-contract does not consume real USDC. Instead, it mints fake tokens to the pair, and the USDC approval is preserved.
(4) The MEV Bot continues by calling the `swap` function on the fake pair.
(5) The second-hop pair sends the tokens to the MEV Bot.
(6) The hub contract pays a small amount of real USDC profit to the MEV Bot.

approval example

tx hash: 0x0121e07a916c06eea3e7daf11893f3f0b95b9e1684124545ae14c32aee6029bb

The result seen by the MEV Bot: A successful arbitrage transaction yielding real USDC profit. However, the USDC approval was retained by the sub-contract.
This process was repeated for USDC, USDT, and WETH, ultimately accumulating numerous approvals.

The attack transaction hash is:

0x2be8704f5a59b69e0b71f64aefdb99eb0e8ae9fb3926147c581910d71bcf3e65

The attacker calls the `drain loop` function of the coordinator contract. The calldata contains 66 sub-contract addresses and the MEV Bot contract address. For any sub-contract to which the MEV Bot contract had previously left an allowance, that sub-contract could directly transfer the corresponding real tokens to the attacker.

Final Result:

- The entire 20 USDC large allowance was drained.
- The entire 16 WETH large allowance was drained.
- Part of the USDT allowance still exists, but the USDT balance is insufficient.

Fund Flow Analysis

After succeeding, the attacker's address (0x3e37f4A10d771Ba9dE44b6d301410b1BEdeA65d0) received $2.87M USDC, $2.04M USDT, and 1,474 WETH. Subsequently, the attacker exchanged the stablecoins for ETH and transferred it to the following 4 addresses:

- 0xe3Da36E4bd1a5738fa5D6Ef4F0e4dF40bDeB5f17 (approx. 1,000 ETH)
- 0x74Dc5b93586D248D5Aec64b3586736FF0A0D0e65 (1,001 ETH)
- 0xd8C125efCBc99408eC8723E9BBd81d1E8D39D845 (1,001 ETH)
- 0x71d4416A7A85e08a5Fe7227Ca3B44Fc639e94e97 (1,423 ETH)

Among these, 0xe3Da3 has transferred 1,000 ETH to Tornado Cash. The ETH at the other three addresses has not seen further movement. The fund flow chart is shown below:

Conclusion

This attack demonstrates a highly sophisticated method: instead of directly attacking contract code, the attacker, based on the business logic of MEV Bots, constructed corresponding arbitrage scenarios to mislead the MEV Bot into making seemingly harmless approvals, and then transferred its assets. For arbitrage bots and MEV Bots, relying solely on simulated profits to judge the safety of a route is insufficient. Especially when an arbitrage path involves unfamiliar contracts, fake tokens, or custom wrappers, caution is essential. Consider enforcing checks on allowance changes after transactions.

View Original Article

Trending Cryptos

Related Questions

QWhat was the total loss suffered by the MEV bot Jaredfromsubway.eth in the honeypot attack on June 21st?

AThe total loss exceeded 7.5 million US dollars worth of crypto assets.

QWhat was the core mechanism used in the honeypot attack to exploit the MEV bot?

AThe core mechanism was deceiving the bot into granting excessive token approvals (allowances). Small, normal-looking trades consumed the approval, while larger trades left the approval intact. The attacker later exploited these retained approvals to drain the bot's funds.

QWhich specific real-world assets (tokens) did the MEV bot lose in this attack?

AThe bot lost USDC, USDT, and WETH. Specifically, it lost $2.87M USDC, $2.04M USDT, and 1,474 WETH (which was later converted to more ETH).

QWhat was one of the final destination addresses for the stolen ETH, as mentioned in the fund flow analysis?

AOne of the final destinations was the privacy mixer Tornado Cash, where 1,000 ETH from address 0xe3Da36E4bd1a5738fa5D6Ef4F0e4dF40bDeB5f17 was sent.

QWhat key security recommendation does the article provide for MEV bots and arbitrage robots to prevent similar attacks?

AThe article recommends that MEV bots should not rely solely on simulated profits to judge the safety of a route. They should be cautious with unfamiliar contracts, fake tokens, or custom wrappers in an arbitrage path. Furthermore, they should consider implementing mandatory checks for allowance changes after a transaction.

Related Reads

Research Report Analysis: Is Intel Making a Comeback with Apple? Bernstein's Calculations Show the Right Direction, but the Price Is Already Overvalued

Bernstein analyst Stacy A. Rasgon published a report on June 18 regarding Intel, assessing the potential impact of recent political support for a US-based PC chip design and manufacturing collaboration between Apple and Intel. The report views this as a significant signal for the foundry landscape shift but concludes the initial financial contribution would be minimal. Key conclusions: 1) An Apple deal is seen as a small-scale "proof of concept." Even if Intel wins 40% of Apple's premium notebook chip orders (~5 million units/year), Bernstein estimates it would generate only about $500M in annual revenue and ~$0.03 EPS, negligible against Intel's ~$55B revenue. 2) Political encouragement is not equivalent to enforceable mandates. Winning orders ultimately depends on Intel demonstrating competitive technology (like its 18A node), cost, and reliable supply. 3) The path from validation to large-scale production involves significant challenges, capital investment, and time. Due to these uncertainties, Bernstein maintains a Market-Perform (Hold) rating with a $100 price target, implying potential downside from the ~$121.10 price at the report date. The analysis highlights the tension between near-term validation value—serving as a crucial trust signal for Intel's foundry ambitions and US supply chain resilience—and the long-term opportunity to attract larger cloud and AI chip customers. The investment thesis hinges on successful 18A execution and sustained policy support, not on immediate financial gains from Apple.

marsbit4m ago

Research Report Analysis: Is Intel Making a Comeback with Apple? Bernstein's Calculations Show the Right Direction, but the Price Is Already Overvalued

marsbit4m ago

27-Year Reign Ends: SK Hynix Market Cap Surpasses Samsung for First Time, an AI-Driven Reshuffle of Korean Chip Power

On June 22, 2026, SK Hynix made history by surpassing Samsung Electronics in market capitalization, ending Samsung's 27-year reign as South Korea's most valuable company. This dramatic reversal is powered by the AI boom and SK Hynix's dominant position in High Bandwidth Memory (HBM), a critical component for AI model training. Once a heavily indebted firm on the brink of bankruptcy, SK Hynix bet early on HBM, which has evolved from a niche product to essential AI infrastructure. It now commands a 59% share of the global HBM market. Its financial performance is staggering, with Q1 2026 net profit soaring nearly fourfold year-over-year to KRW 40.35 trillion, translating to over 2 billion RMB in daily net profit. HBM now drives roughly 40% of its revenue with exceptionally high margins. In contrast, Samsung, with its broad portfolio spanning memory chips, smartphones, and foundry services, has lagged in the HBM race while facing headwinds in other divisions. This shift signifies a deeper restructuring of South Korea's economy, moving from consumer electronics to AI-driven growth. However, the future remains competitive. With major capacity expansions planned industry-wide by 2028 and Samsung aiming to catch up in HBM technology, the new market leader cannot afford complacency. This event marks a pivotal moment in the global semiconductor industry's ongoing power realignment.

marsbit15m ago

27-Year Reign Ends: SK Hynix Market Cap Surpasses Samsung for First Time, an AI-Driven Reshuffle of Korean Chip Power

marsbit15m ago

Why Does 'AGI Godfather' Ben Goertzel Believe the Future of AI Relies on Blockchain?

Ben Goertzel, known as the "AGI Godfather," argues that the future of Artificial General Intelligence (AGI) must be built on blockchain to prevent its control by a few corporations or venture capital firms. He believes the core AGI code should be free and open-source, but that this alone is insufficient without a decentralized infrastructure to run it affordably. His blockchain project, SingularityNET, and the broader Artificial Superintelligence Alliance aim to create a user-owned, decentralized network for hosting and deploying AGI, contrasting with the closed models of companies like OpenAI and Anthropic. Goertzel criticizes the shift of other labs from open to closed development. He argues that while a closed path is simpler, an open, decentralized model—akin to Linux and the internet—is both possible and ultimately better for humanity. He envisions an "Agent economy" where individuals orchestrate teams of AI agents to perform tasks, including transactions, on an open network rather than corporate clouds. While his current model relies on cryptocurrency, plans include offering paid AI services to businesses with the decentralized blockchain as the backend. Goertzel predicts human-level AGI could arrive by 2029 and warns that a gap in understanding and access to AGI could drastically worsen inequality. The first test of his decentralized approach will be the upcoming release of the Agent Omega Claw.

Foresight News46m ago

Why Does 'AGI Godfather' Ben Goertzel Believe the Future of AI Relies on Blockchain?

Foresight News46m ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of ETH (ETH) are presented below.

活动图片