Stacks Smart Contract Audit

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

Clarity is decidable and non-Turing-complete, and it is interpreted from published source rather than compiled — so there is no bytecode surprise. The risk moves to post-conditions, Bitcoin finality assumptions and trait usage.

Auditing on Stacks

Clarity removes reentrancy-by-default and makes control flow analysable, which eliminates several classic classes. What remains is authorisation logic, post-condition handling on asset transfers, and the assumptions Stacks contracts make about Bitcoin block finality and PoX cycles.

We review contract authorisation and trait usage, post-condition design, Bitcoin-anchored timing assumptions, and any bridge or sBTC integration.

What we test that is specific to Stacks

Post-condition design

Transactions relying on post-conditions the caller may not set, and contracts that assume they were set.

Trait and dynamic dispatch

Accepting a trait implementation from the caller and trusting it to behave.

Bitcoin finality assumptions

Logic assuming Bitcoin block timing or confirmation depth that does not hold during congestion.

PoX and stacking cycles

Reward cycle timing assumptions and behaviour across cycle boundaries.

tx-sender vs contract-caller

Authorisation using the wrong caller identity in a contract-to-contract call.

Shared Chain-specific runtime attack surface

Stacks 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

Stacks contracts are written in Clarity. See our Clarity 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

Stacks audit: frequently asked questions

Does Clarity eliminate reentrancy?

It removes the classic pattern by design, which is a real advantage. Authorisation errors, trait misuse and post-condition assumptions remain, and those are where Clarity findings concentrate.

Do you review sBTC and Bitcoin integrations?

Yes — peg-in and peg-out flows, finality assumptions and the trust model of the signer set.

What is the most common Clarity finding?

Confusing tx-sender with contract-caller in authorisation checks, which grants access through an intermediate contract.

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.