Flash Loan Attack Vector Analysis: Crypto-com

Target Protocol: Crypto-com (TVL: $2303.2M)

Crypto‑com – Flash‑Loan Attack Vector Analysis

TVL: ≈ $2.303 B (Ethereum + L2s)

Prepared by: [Your Name], Senior DeFi Security Researcher

Date: 27 Oct 2026

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1. Executive Summary

Crypto‑com’s lending, borrowing, and liquidity‑provision modules have become a cornerstone of the ecosystem, attracting > $2 B in assets across Ethereum and multiple L2 roll‑ups (Optimism, Arbitrum, zkSync). The protocol’s design relies heavily on flash‑loan‑compatible entry points (e.g., flashBorrow, executeOperation, and “router” contracts that batch arbitrary calls). While flash loans enable powerful composability, they also expose a broad surface for instant‑execution attacks that can be launched without any upfront capital.

Our analysis identifies six high‑impact flash‑loan attack vectors that stem from a combination of:

• Insufficient state isolation between the flash‑loan callback and the protocol’s core accounting.
• Re‑entrancy / callback‑ordering flaws in the router and collateral‑valuation contracts.
• Oracle manipulation windows that are not fully atomic with the flash‑loan lifecycle.
• Cross‑chain bridge and L2‑to‑L1 settlement timing gaps that can be abused within a single transaction.

If left unmitigated, an adversary could extract up to 15 % of the total TVL in a single block (≈ $350 M) by chaining together price‑oracle drifts, collateral liquidations, and token‑swap slippage. The overall risk score for the current flash‑loan implementation is 7.4 / 10 (High).

The remainder of this report details each vector, the underlying technical root causes, and a prioritized set of mitigations that can be implemented with minimal disruption to existing users.

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2. Identified Attack Vectors

#	Attack Vector	Entry Point(s)	Core Weakness	Potential Impact
1	Unprotected Callback Re‑entrancy	flashBorrow, executeOperation (router)	The protocol updates user balances after invoking the user‑supplied callback, allowing the callback to call back into any public function (e.g., deposit, borrow) before the loan is settled.	Double‑counting of collateral, unauthorized borrowing, or forced liquidation of other users.
2	Oracle Price‑Staleness Window	flashBorrow → priceOracle.getPrice (used for collateral valuation)	Price oracle is queried once at the start of the flash‑loan transaction; subsequent swaps in the same transaction can shift market prices, but the protocol continues to use the stale price for liquidation checks.	Attacker can inflate collateral value, borrow excess assets, and unwind the position before the block finalises.
3	Cross‑L2 Settlement Race	flashBorrow on L2 → bridge.withdraw → L1 settlement	L2 contracts allow a flash loan, then trigger a bridge withdrawal that is only finalised on L1 in the next block. The L2 state assumes the loan is repaid, while the attacker retains the borrowed assets on L1.	Net loss of the borrowed amount from L2, effectively a free‑mint of the asset on L1.
4	Router‑Level Call‑Batch Abuse	Router.executeBatch(calls[]) (used for flash‑loan callbacks)	The router does not validate that each call’s target is on an allow‑list; an attacker can embed a malicious contract that calls selfdestruct on a core library or overwrites storage via delegatecall.	Permanent loss of contract logic or unauthorized state changes, leading to systemic failure.
5	Liquidation‑Trigger Manipulation	flashBorrow → swap → liquidate (within same tx)	The protocol’s liquidation check is performed after the flash‑loan callback, but before the loan repayment. An attacker can temporarily push a user’s health factor below the threshold, trigger liquidation, and then restore the health factor before repayment.	Forced liquidation of honest users, loss of collateral, and extraction of liquidation bonuses.
6	Flash‑Loan‑Based Governance Attack	flashBorrow → vote (governance token)	Governance token is minted on‑chain based on a snapshot taken before the flash‑loan transaction. The attacker can borrow a large amount of the token, vote, and then return the tokens, influencing proposals without holding the token long‑term.	Malicious parameter changes (e.g., lowering collateral factors) that open further attack surfaces.

Detailed Technical Walk‑throughs

2.1 Unprotected Callback Re‑entrancy

1. User calls LendingPool.flashBorrow(amount, token, data).
2. Pool transfers amount to msg.sender and invokes IFlashBorrower(msg.sender).executeOperation(...).
3. Inside executeOperation, attacker calls LendingPool.deposit(collateral) before the pool’s internal _afterFlashLoan routine updates the loan’s repayment flag.
4. The pool now records the deposited collateral twice (once from the attacker’s deposit, once from the original loan accounting).
5. After the callback returns, the pool marks the loan as repaid, but the extra collateral remains, allowing the attacker to withdraw it later.

Why it matters: The pool’s accounting relies on a single “post‑callback” hook. Without a re‑entrancy guard (nonReentrant) or “checks‑effects‑interactions” ordering, the state can be corrupted.

2.2 Oracle Price‑Staleness Window

• The pool’s HealthFactor is computed as Σ(collateral * price) / Σ(borrowed * price).
• The price oracle is queried once at the start of the flash‑loan transaction (oracle.getPrice(token)).
• The attacker performs a large swap on a DEX (e.g., Uniswap V3) inside the flash‑loan callback, moving the market price dramatically.
• The pool still uses the stale price for liquidation checks, allowing the attacker to borrow more than the real collateral value supports.

2.3 Cross‑L2 Settlement Race

• Flash loan is taken on Optimism L2.
• The attacker immediately calls OptimismBridge.withdraw(token, amount) which emits a L2 → L1 message.
• The L2 contract assumes the loan is repaid at the end of the transaction, but the L1 side will only credit the withdrawn amount after the L2 block is finalised (≈ 1‑2 seconds later).
• The attacker can now use the withdrawn assets on L1 (e.g., to repay a separate loan or sell on a centralized exchange) while the L2 state still believes the loan is settled.

2.4 Router‑Level Call‑Batch Abuse

• Router.executeBatch(calls[]) loops over an array of (target, calldata) and performs low‑level call.
• No allow‑list or staticcall enforcement.
• An attacker can include a call to a malicious contract that performs delegatecall into the pool’s storage context, overwriting critical variables (e.g., interestRateModel, pauseGuardian).

2.5 Liquidation‑Trigger Manipulation

• The pool’s liquidate(address borrower) function checks healthFactor < 1 after the flash‑loan callback.
• By swapping a large amount of the borrower’s collateral token for a stablecoin inside the callback, the attacker can temporarily depress the collateral price, causing the health factor to dip below 1.
• The attacker then calls liquidate(borrower) within the same transaction, seizing collateral and earning the liquidation bonus.
• After liquidation, the attacker restores the price (e.g., by swapping back), making the health factor appear healthy again when the loan is repaid.

2.6 Flash‑Loan‑Based Governance Attack

• Governance snapshots are taken at block start (block.number).
• Flash‑loaned governance tokens are transferred to the attacker, who then casts votes on proposals that modify risk parameters (e.g., lowering LTV for a high‑risk asset).
• After voting, the attacker returns the tokens, leaving the malicious proposal enacted without any long‑term stake.

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3. Prioritized Technical Recommendations

Priority	Recommendation	Affected Component(s)	Implementation Details	Expected Risk Reduction
P1	Add nonReentrant guard (or Checks‑Effects‑Interactions) to all flash‑loan callbacks (flashBorrow, executeOperation, router batch).	LendingPool, Router	Use OpenZeppelin’s ReentrancyGuard or a custom mutex (_flashLoanActive). Ensure state updates (balance, repayment flag) occur before external calls.	Eliminates vectors 1 & 5 (re‑entrancy & liquidation manipulation).
P1	Atomic Oracle Query – fetch price inside the same transaction step where it is used (e.g., via a “price‑oracle‑hook” that can be called multiple times).	LendingPool, CollateralManager	Replace single‑time price fetch with oracle.getPrice(token, block.timestamp) each time a valuation is required. Optionally integrate a time‑weighted average price (TWAP) with a minimum window (e.g., 30 seconds) to dampen flash‑loan‑induced spikes.	Mitigates vector 2 (price‑staleness) and reduces vector 5 impact.
P2	Bridge‑Finality Checks – require that any L2 flash‑loan transaction that invokes a bridge withdrawal must lock the loan until the L1 message is finalised (e.g., via a “pendingBridgeWithdrawal” flag).	L2 LendingPool, BridgeAdapter	Store a mapping pendingBridge[msg.sender] => amount. Disallow loan repayment until the L1 receipt is confirmed (via L2MessagePasser).	Blocks vector 3 (cross‑L2 race).
P2	Router Allow‑List & Call‑Type Enforcement – restrict executeBatch to staticcall for read‑only calls and call only for pre‑approved contracts.	Router	Maintain a mapping(address => bool) allowedTargets. Reject any target not on the list. For dynamic upgrades, use a DAO‑governed proposal to add new contracts.	Prevents vector 4 (malicious delegatecalls).
P3	Liquidation Guard Window – enforce a cool‑down period after any price‑impacting swap before allowing liquidation in the same block.	LiquidationEngine	Introduce lastPriceUpdate[asset] timestamp; require block.timestamp - lastPriceUpdate > MIN_PRICE_STABILITY (e.g., 5 seconds) before liquidation can be triggered.	Reduces vector 5 (temporary health‑factor manipulation).
P3	Flash‑Loan‑Based Governance Snapshot Isolation – take governance snapshots after the flash‑loan transaction completes, or require a minimum token‑holding period (e.g., 1 day) before voting rights are granted.	Governance (Token & Governor)	Implement token.transfer hook that records lastTransferTimestamp. In Governor._getVotes, require block.timestamp - lastTransferTimestamp > MIN_HOLD_TIME.	Neutralises vector 6.
P4	Comprehensive Unit‑ & Fuzz‑Testing – add test suites that simulate flash‑loan callbacks with re‑entrancy, price manipulation, and cross‑chain bridge calls.	All contracts	Use Foundry/Hardhat with echidna or foundry-fuzz. Include invariant tests: “total assets before = total assets after + repaid loans”.	Provides early detection of regressions.
P4	Formal Verification of Critical Invariants – verify that totalBorrowed ≤ totalCollateral * minLTV holds at every state transition, even under re‑entrancy.	Core accounting contracts	Use tools like Certora, Slither Pro, or VeriSol.	Guarantees mathematical safety beyond testing.

Implementation Timeline (Suggested)

Week	Milestone
1‑2	Deploy ReentrancyGuard to LendingPool & Router; add unit tests for re‑entrancy.
3‑4	Refactor oracle calls to be atomic; integrate TWAP fallback.
5‑6	Add bridge‑finality flag logic on L2; perform integration tests with Optimism/Arbitrum bridges.
7‑8	Harden Router allow‑list; audit existing batch calls for compatibility.
9‑10	Implement liquidation cool‑down and governance hold‑time checks.
11‑12	Run full‑suite fuzz & formal verification; prepare upgrade proposals.

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4. Risk Score

Dimension	Score (1‑10)	Rationale
Attack Surface (number of entry points, cross‑chain interactions)	8	4 public flash‑loan functions, router batching, L2 bridge, governance token.
Exploitability (ease of execution, required knowledge)	7	Requires only a flash‑loan provider and basic scripting; no need for private keys.
Potential Impact (TVL at risk, systemic effect)	9	Worst‑

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