Platypus Finance Hack

Platypus Finance Hack: The platform was targeted by a flashloan attack, resulting in an approximate $2 million loss. This sophisticated attack utilized flashloans alongside tactics to alter slippage calculations in various swaps, thereby manipulating the price of the swapped assets to benefit the attacker.

Platypus Finance Hack | The Attack Summary

At 12th Oct 2023, 06:32 UTC, an attacker on Avalanche C-Chain (addresses: 0x0cd4fd0eecd2c5ad24de7f17ae35f9db6ac51ee7 & 0x464073F659591507d9255B833D163ef1Af5ccc2C), performed multiple on-chain transactions via smart contracts deployed within the same transaction itself. We shall concentrate on a single instance on this attack, where the attacker profits around $570k. The operations performed are as follows:

Flash loan on AAVE
Deposit 1050k WAVAX
Deposit 316k sAVAX
Swap 600k sAVAX to 659k WAVAX
Withdraw 728k WAVAX

Swap 1200k WAVAX to 1250 sAVAX
Withdraw 34k WAVAX
Swap 600k sAVAX to 840k WAVAX
Withdraw 316k sAVAX
Repay AAVE Flash Loan

Note that the deposits and swaps are performed on a relatively novel “Stable Swap” AMM (Platypus).

Judging by the events that took place and by looking at calculations performed throughout the attack, we are fairly sure that the root cause of this attack occurs due to a manipulated slippage calculation. Moreover, the mechanism employed in calculating the slippage (and thus the price at which a swap takes place) is flawed, in cases where liability balance and cash balances are manipulated differently. When such a condition arises, the slippage manipulation can be in the attacker’s favor in both directions of the swap, thus breaking the invariant that the slippage is symmetric.

In order to understand the intimate mechanics of the protocol, let’s first back up and look the key features of the Platypus AMM and lending protocol:

  1. Unilateral Liquidity Provision: Platypus allows users to provide liquidity to just one side of a trading pair, rather than requiring liquidity for both tokens in a pair.
  2. Account-based Design: Instead of using pools for each token pair, the protocol uses accounts to record assets and liabilities, allowing for a more flexible and capital-efficient system.
  3. Coverage Ratio: Platypus uses a “coverage ratio” as an input parameter instead of simply focusing on liquidity. The coverage ratio is defined as the assets (A) divided by the liabilities (L) for a given token account. A higher ratio indicates lower default risk. This is a departure from Curve’s stableswap invariant and allows the token pool to grow based on organic demand and supply.
  4. Open Liquidity Pool: The protocol is designed to be extensible, allowing new tokens to be added to existing pools easily. For example, starting with a base of USDT, USDC, and DAI, more tokens like TUSD and FRAX can be added later.
  5. Price Oracle: Platypus uses external price oracles like Chainlink to track the exchange rate of each token in terms of USD. This is important for maintaining pegs and calculating exchange rates for swaps.
  6. Solvency Risk: The protocol aims to keep the coverage ratio above a certain level to mitigate the risk of default. If a withdrawal request exceeds the assets available in a specific token account, that could trigger a default.

Platypus Finance Hack | DETAILED DESCRIPTION

Now that we got a glimpse of the features, in this section we will discuss how prices are calculated.

Platypus Finance Hack

Platypus uses an Oracle to calculate the ideal prices between assets. When the assets are of the same variety (e.g., wrapped vs. staked versions), such a price Oracle is easily implemented. However, what the makes a big impact to the price in this exploit is the slippage calculation, which can benefit the attacker. The goal of the attacker was to amplify the slippage in their favor, by using a clever trick.

Normally, in this protocol, depositing and withdrawing increases or decreases, respectively, both assets (called cash) and liability in tandem. However, when a withdrawal takes place but there is not enough cash remaining to satisfy the withdrawal, the full liability amount is decreased, despite the asset amount partially decreasing. When this happens, the slippage amount is seemingly manipulated towards the attacker in both directions of a swap.

     * @notice Yellow Paper Def. 2.4 (Asset Slippage)
     * @dev Calculates -Si or -Sj (slippage from and slippage to)
     * @param k K slippage parameter in WAD
     * @param n N slippage parameter
     * @param c1 C1 slippage parameter in WAD
     * @param xThreshold xThreshold slippage parameter in WAD
     * @param cash cash position of asset in WAD
     * @param cashChange cashChange of asset in WAD
     * @param addCash true if we are adding cash, false otherwise
     * @return The result of one-sided asset slippage
    function _slippage(
        uint256 k,
        uint256 n,
        uint256 c1,
        uint256 xThreshold,
        uint256 cash,
        uint256 liability,
        uint256 cashChange,
        bool addCash
    ) internal pure returns (uint256) {
        uint256 covBefore = cash.wdiv(liability);
        uint256 covAfter;
        if (addCash) {
            covAfter = (cash + cashChange).wdiv(liability);
        } else {
            covAfter = (cash - cashChange).wdiv(liability);

        // if cov stays unchanged, slippage is 0
        if (covBefore == covAfter) {
            return 0;

        uint256 slippageBefore = _slippageFunc(k, n, c1, xThreshold, covBefore);
        uint256 slippageAfter = _slippageFunc(k, n, c1, xThreshold, covAfter);

        if (covBefore > covAfter) {
            return (slippageAfter - slippageBefore).wdiv(covBefore - covAfter);
        } else {
            return (slippageBefore - slippageAfter).wdiv(covAfter - covBefore);

     * @notice Yellow Paper Def. 2.5 (Swapping Slippage). Calculates 1 - (Si - Sj).
     * Uses the formula 1 + (-Si) - (-Sj), with the -Si, -Sj returned from _slippage
     * @dev Adjusted to prevent dealing with underflow of uint256
     * @param si -si slippage parameter in WAD
     * @param sj -sj slippage parameter
     * @return The result of swapping slippage (1 - Si->j)
    function _swappingSlippage(uint256 si, uint256 sj) internal pure returns (uint256) {
        return WAD + si - sj;

Decreasing Liability but Not Asset balance manipulates slippage


The more complex a protocol’s financial algorithms are, the more difficult it is to protect from design deficiencies being exploited. Platypus emphasized the ability to maintain a very low slippage and one-sided deposits, which are very hard to implement in a decentralized manner. The Platypus Finance Hack was a difficult one to follow, but there are still ways to improve the security of protocols like these.

One way we could help with similar protocols is by increasing the security posture, in multiple ways. Note that this attacker was relatively smart, and bypassed the mempool when exploiting the protocol, which renders simple mempool scanning techniques ineffective. At the same time the attacks on different pools happened in different transaction. Some vaults could have been paused more quickly had a sophisticated monitoring solution like Watchdog been employed. Finally the protocol’s financial design & calculations are to blame here, employing the services of specialist security firms like ours to conduct financial design audits could have prevented this attack.

The attacker themselves also made a mistake in the attack, and the Platypus team rescued $575 (such funds were transferred to 0x068e297e8ff74115c9e1c4b5b83b700fda5afdeb).

We wish the Platypus team good luck in getting the protocol up and running again, and recovering from this serious incident.

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