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Home Research & Analysis Post Mortems

Resolv Labs Exploit Analysis Report

In Depth Breakdown of Uncollateralized USR Minting, Smart Contract Flaw, and 25 Million Dollar Fund Extraction

Saravana Kumar Mahendran by Saravana Kumar Mahendran
March 23, 2026
in Post Mortems
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Resolv Labs Exploit Analysis Report
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The Resolv Labs protocol was exploited for approximately $25 million on March 22, 2026. The attacker used only 200,000 USDC as initial capital to mint 80 million $USR tokens by exploiting a flaw in the completeSwap() function. The minted tokens were staked as wstUSR, swapped for stablecoins, and finally converted to ETH. The $USR token price dropped ~80% following the attack.

Item Value
Initial Capital Used 200,000 USDC
USR Minted (illicit) 80,000,000 USR
ETH held post-exploit 11,400 ETH (~$24M)
wstUSR remaining 20,000,000 wstUSR (~$1.3M)
$USR price drop 80%

Key Addresses & Transactions

Label Value
Transaction Hash 1 0xfe37f25efd67d0a4da4afe48509b258df48757b97810b28ce4c649658dc33743
Transaction Hash 2 0x41b6b9376d174165cbd54ba576c8f6675ff966f17609a7b80d27d8652db1f18f
Attacker Wallet 0x15CAd41e6BdCaDc7121ce65080489C92CF6de398
Exploit Contract (USR Counter) 0xa27a69Ae180e202fDe5D38189a3F24Fe24E55861
USDC Contract 0xa0b86991c6218b36c1d19d4a2e9eb0ce3606eb48
USDC Recipient Address 0xacb7027f271b03b502d65feba617a0d817d62b8e

Step by Step Attack Flow

Deposit 100,000 USDC into USR Counter (Both Transactions)

In both transactions, the attacker deposited 100,000 USDC (approximately 99,990.20 USD) into the Resolv USR Counter contract. This initiated a swap request with the following state changes:

  • swapRequests[30].state changed from 0 (PENDING) to 1 (CREATED)
  • collectedFee changed from 0 to 50,000,000,000,000,000,000 (5×10¹⁹)
  • USDC balance of USR Counter (0xa27a69…55861) changed from 100,000,000,000 to 0
  • USDC balance of 0xacb7027…62b8e changed from 0 to 100,000,000,000

Call completeSwap with Inflated Target Amount

The attacker called completeSwap with a manipulated target amount value far exceeding the actual collateral deposited. The contract did not validate the amount against real collateral. It only checked that the output was greater than or equal to the minimum expected amount.

  • Transaction 1 inflated amount resulted in 50,000,000 USR minted
  • Transaction 2 inflated amount resulted in 30,000,000 USR minted
  • Both mints came from the Null address (0x000…000) with zero real collateral backing
  • A boolean flag was flipped from false to true to bypass a validation guard

Transfer of 49,950,000 USR to Exploiter (Transaction 1)

From the 50,000,000 USR minted in Transaction 1:

  • 49,950,000 USR (approximately 13,967,518.50 USD) was transferred to the exploiter wallet
  • 50,000 USR was retained by the contract as a protocol fee

Net gain from Transaction 1 was 49,950,000 USR for only 100,000 USDC input, which is approximately 499 times amplification

Transfer of 29,970,000 USR to Exploiter (Transaction 2)

From the 30,000,000 USR minted in Transaction 2:

  • 29,970,000 USR (approximately 8,380,511.10 USD) was transferred to the exploiter wallet
  • 30,000 USR was retained by the contract as a protocol fee

Net gain from Transaction 2 was 29,970,000 USR for only 100,000 USDC input, which is approximately 299 times amplification

Combined total was approximately 79,920,000 USR stolen using only 200,000 USDC, resulting in about 125 times capital amplification

Stake USR into wstUSR for Liquidity Bypass

Direct USR liquidity on decentralized exchanges was very low, making a large direct swap impractical due to extreme price impact. The attacker converted all stolen USR into wstUSR (wrapped staked USR) to:

  • Access deeper liquidity pools available for wstUSR pairs
  • Avoid the thin liquidity of raw USR on chain
  • Reduce slippage and preserve more value

Swap wstUSR into Stablecoins and then into ETH

The attacker used decentralized exchange aggregators to convert wstUSR into stablecoins and then into ETH:

  1. Final holdings were 11,400 ETH (approximately 24 million USD) and 20,000,000 wstUSR (approximately 1.3 million USD)
  2. The large selling pressure caused the USR token to lose its peg by around 80 percent
  3. Most of the position was exited before the price fully collapsed
Resolv Labs Exploit
Resolv Labs Exploit

  • In the USDC contract at address 0xa0b86991c6218b36c1d19d4a2e9eb0ce3606eb48, the Resolv USR Counter balance dropped from 100000000000 to 0, showing a full drain.
  • At the same time, the attacker address 0xacb7027f271b03b502d65feba617a0d817d62b8e increased from 0 to 100000000000.
  • This confirms that 100000 USDC was transferred out of the contract to the attacker.
Resolv Labs Exploit
Resolv Labs Exploit
  • The storage slot 0xb9f73da47014b8fab2ad52a0cd90f07f1a54d801c4366b2e15d3931a3a5e3239 changed from false to true.
  • This indicates that a critical guard flag inside the contract was modified.
  • As a result, the attacker was able to bypass an important validation check.
Resolv Labs Exploit
Resolv Labs Exploit
  • In the TheCounter contract, swapRequests 30 state changed from 0 to 1, moving from pending to created.
  • This allowed the completeSwap function to be executed on that request.
  • The collectedFee also increased from 0 to 50000000000000000000 due to the inflated target amount.

Fund Flow Both Transactions

Resolv Labs Exploit

In the first transaction, the attacker transferred 100000 USDC worth approximately 99990.20 USD from the Resolv USR Counter to the recipient address 0xacB7027f…817D62b8e, effectively routing the deposit out. Following this, 50000000 USR tokens worth about 13981500 USD were minted from the null address to the USR Counter without any real collateral backing. Out of this, 49950000 USR worth approximately 13967518.50 USD was transferred to the exploiter, while a small portion was retained as a protocol fee.

Resolv Labs Exploit

In the second transaction, the attacker repeated the process by routing another 100000 USDC worth approximately 99990.20 USD from the USR Counter to the same recipient address. Then, 30000000 USR tokens worth about 8388900 USD were minted from the null address without collateral. From this amount, 29970000 USR worth approximately 8380511.10 USD was transferred to the exploiter, with a small portion again kept as a fee.

Across both transactions, the attacker used a total of 200000 USDC to mint 80000000 USR tokens from the null address without collateral. Out of this, 79920000 USR reached the exploiter, with a total estimated value of approximately 22.35 million USD. These assets were later swapped, resulting in a final exit of 11400 ETH valued at around 24 million USD.

Vulnerability Root Cause

The completeSwap() function accepts a caller-supplied _targetAmount but never verifies it against actual collateral deposited. It only checks that the output exceeds the user’s minimum expectation, not whether the mint amount is legitimate.

Resolv Labs Exploit

Record the actual collateral amount on-chain per swap ID at deposit time. Cap _targetAmount to that recorded value and reject anything higher.

Disclaimer: Cryip's content is strictly for educational and informational purposes and does not constitute financial, legal, or investment advice. Cryptocurrency involves significant risk, and readers assume full responsibility for their own financial decisions. Asset references are never endorsements.

To make complex crypto topics accessible to readers at all experience levels, our team uses AI tools strictly to refine language, correct grammar, and simplify terminology. AI is never used to draft facts, source information, or form conclusions. Every article is fact-checked and approved by a human editor before publication. Read our full AI Use & Content Policy.

Tags: Crypto Hacks
Saravana Kumar Mahendran

Saravana Kumar Mahendran

Saravana Kumar Mahendran is a crypto security analyst and blockchain researcher at Cryip, focusing on DeFi protocol exploits, Web3 security systems, and on-chain investigation. His research applies OSINT and fact-checking methodology to security incidents, drawing on certifications in cybersecurity and data analytics (LinkedIn Learning), and DeFi deep-dive training (Binance Academy). His work has been cited by Sherlock, Rekt.news, and Halborn Security.

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