Monad Smart Contract Audit

A Monad smart contract audit is a security review of code deployed to Monad, carried out against the Ethereum Virtual Machine execution model and written in Solidity — covering both the bug classes shared across EVM Layer 1 systems and the failure modes specific to Monad.

Monad executes EVM transactions in parallel with deferred execution and asynchronous state finality. Bytecode compatibility means your contracts run; the execution model means the assumptions around them may not hold.

Auditing on Monad

Parallel execution and deferred state mean that contracts relying on immediate observability of state, or on the assumption that transactions in a block execute in a simple sequence, can behave differently. Sub-second blocks also compress every timing window written for twelve-second blocks.

We review the standard EVM surface, then focus on assumptions the parallel and deferred execution model breaks — ordering, state observability, oracle freshness and timing windows.

What we test that is specific to Monad

Parallel execution and ordering assumptions

Logic that depends on strict sequential visibility of state changes within a block.

Deferred execution and state observability

Reading state that has not yet been finalised, and integrations that assume immediate observability.

Sub-second block timing

TWAP windows, cooldowns and auction durations compressing dramatically at Monad block times.

High-throughput griefing

Attacks made affordable by very high throughput and low fees.

Shared EVM Layer 1 attack surface

Monad runs on Ethereum Virtual Machine, so it inherits the bug classes below from every system in that family.

Reentrancy across the call graph

External calls before state settles — including cross-function and read-only reentrancy through view functions used for pricing.

Proxy and storage-layout risk

Storage collisions between implementations, uninitialised implementations, and upgrade functions reachable without the intended authority.

ERC-20 integration assumptions

Missing return values, fee-on-transfer and rebasing tokens, and approval race conditions that break accounting.

Oracle and price-feed handling

Spot reads from manipulable pools, missing staleness and deviation checks, and fallback logic that degrades silently.

MEV and ordering dependence

Sandwichable swaps, unenforced deadlines, and liquidation or arbitrage paths that can be grief-front-run.

Gas griefing and unbounded loops

Iteration over user-controlled arrays, and push-payment patterns to addresses that can revert.

Tooling we use on this runtime

Monad contracts are written in Solidity. See our Solidity audit methodology.

How the engagement runs

  1. Scoping and threat modelling

    We fix a commit hash, agree the in-scope contracts and read your architecture docs, then build a threat model: who the actors are, what the trust boundaries are, and which invariants must never break. Nothing is reviewed against assumptions we have not written down.

  2. Manual review

    Line-by-line review by at least two auditors working independently, focused on authorisation, accounting, upgrade paths, external integrations and the gap between what the code does and what the documentation claims it does. Most critical findings come from this phase, not from tooling.

  3. Static and dynamic analysis

    Static analysers appropriate to the language, plus property-based fuzzing and invariant testing to push the system into states no unit test covers. Tooling is used to widen coverage, never to replace the manual pass.

  4. Exploit-path simulation

    Candidate findings are proven on a forked network with a working proof of concept. We report what an attacker can actually do and what it costs them, not a theoretical severity label.

  5. Reporting

    Every finding gets a severity rating, reproduction steps, the affected code, the impact in concrete terms and a specific remediation. You get a draft for discussion before anything is finalised.

  6. Fix review and re-test

    We re-test every remediation against the original proof of concept and check that the fix has not opened a new path. The final report is yours to publish.

What you receive

Monad audit: frequently asked questions

Will our Ethereum contracts work on Monad?

Bytecode compatibility means they run. Whether they are still safe depends on assumptions about ordering, state observability and timing — which is exactly what the deployment review covers.

What is the highest-risk area on Monad?

Timing and ordering assumptions. Anything tuned for twelve-second blocks and strictly sequential execution deserves a second look.

Do you test on a Monad environment?

Yes, against the actual execution environment rather than a generic EVM, because that is where the differences appear.

What do you need from us to start an audit?

A repository or contract address, a commit hash to freeze the scope, whatever architecture or spec documentation exists, and a point of contact who can answer design questions. If documentation is thin we will write our understanding of the system back to you and ask you to confirm it — that step alone catches design-level bugs.

How long does an audit take?

A single token contract is 24–48 hours. A typical dApp or mid-sized protocol runs one to two weeks. Large DeFi systems, L2s, bridges and ZK circuits are scoped per project after we have seen the code. We will give you a fixed timeline with the quote, not an estimate that moves.

Is a re-test included after we fix the issues?

Yes. Fix review is part of the engagement, not an upsell. We re-run the original proof of concept against your patched code and confirm the fix has not introduced a new path.

Audits on related chains

Get a fixed quote in 24 hours

Send the repository and a commit hash through the contact form, message @bugtester25 on Telegram, or book a 30-minute scoping call. 200+ protocols audited · $4B+ secured · 0 hacks post-audit. Prefer email? info@safeedges.in.