NEAR Smart Contract Audit

A NEAR smart contract audit is a security review of code deployed to NEAR, carried out against the Chain-specific execution environment execution model and written in Rust — covering both the bug classes shared across Chain-specific runtime systems and the failure modes specific to NEAR.

NEAR's asynchronous, sharded execution means a cross-contract call is not atomic: the first half of your logic can succeed and the second half fail, leaving state in a condition that no synchronous chain would produce.

Auditing on NEAR

The dominant NEAR vulnerability class is callback handling. A cross-contract call resolves in a later block, and if the callback does not correctly handle failure — or if state was optimistically updated before the call resolved — an attacker can force the partial-execution path deliberately.

We review every cross-contract call and its promise/callback structure, storage staking and deposit handling, access key permissions, and the gas attached to each call, with proofs of concept on a local network.

What we test that is specific to NEAR

Promise and callback failure handling

Optimistic state updates before a promise resolves, and callbacks that do not correctly revert on failure.

Non-atomic cross-contract calls

Multi-step flows where an attacker forces failure at a chosen point to leave inconsistent state.

Access key permissions

Function-call access keys with broader allowances than intended, and full-access keys where a restricted key would do.

Storage staking and deposits

Storage cost handling that can be griefed, and refunds that can be redirected.

Gas attachment and exhaustion

Insufficient gas attached to callbacks, causing predictable failure at an attacker-chosen moment.

Shared Chain-specific runtime attack surface

NEAR runs on Chain-specific execution environment, so it inherits the bug classes below from every system in that family.

Runtime-specific authorisation model

Whatever this chain uses instead of msg.sender — and every check that assumes EVM semantics.

State model and storage assumptions

How state is keyed, who can write it, and what an attacker can cause to be stored.

Arithmetic and serialisation

Overflow behaviour, decoding of untrusted input, and type confusion at the boundary.

Upgrade and governance authority

Who can change the code, how fast, and what the change can reach.

Bridging and external messaging

Trust placed in cross-chain messages, and replay or ordering assumptions.

Liveness and congestion behaviour

What time-sensitive logic does when blocks are full or the network stalls.

Tooling we use on this runtime

NEAR contracts are written in Rust. See our Rust 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

NEAR audit: frequently asked questions

What is the biggest risk in NEAR contracts?

Callback handling. Cross-contract calls are asynchronous and non-atomic, so any state updated optimistically before the promise resolves can be left inconsistent by an attacker who forces the failure path.

Do you review access keys?

Yes. Function-call keys with excessive allowance, and full-access keys used where a restricted key would suffice, are a recurring finding.

Which languages do you audit on NEAR?

Rust primarily, and JavaScript SDK contracts where used — the async and storage-staking issues are the same either way.

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.