Smart contract audit reports contain information critical to your protocol's security — but they can be dense, technical, and difficult to parse if you haven't read many of them. This guide breaks down every section you'll encounter in a professional audit report, and explains how to turn findings into action.
The executive summary
Every audit report opens with an executive summary that gives a high-level picture of the contract's security posture. Key elements include:
- Overall risk rating: A qualitative assessment (Critical/High/Medium/Low/Informational) of the most severe outstanding finding.
- Finding counts by severity: How many Critical, High, Medium, Low, and Informational issues were found.
- Audit scope: Which contracts and which commit hash were reviewed — critical for confirming what was and wasn't audited.
- Deployment recommendation: Whether the auditors recommend deploying as-is, after specific fixes, or only after full re-audit.
Understanding severity levels
Severity ratings are the most important output of an audit report, but their definitions vary between firms. The most common framework:
- Critical: Direct loss of user funds or complete protocol compromise is possible without restrictions. Fix before any deployment.
- High: Significant risk to user funds or protocol functionality. Fix before mainnet launch.
- Medium: Meaningful risk that may require specific conditions to exploit, or that causes significant protocol malfunction. Fix before launch where possible.
- Low: Minor risk, often requiring unlikely preconditions. Fix in a subsequent deployment.
- Informational: Code quality, best practice suggestions, and gas optimizations. No direct security risk, but worth addressing.
Individual findings
Each finding in the report typically includes:
- Title and severity: A descriptive name for the issue and its severity classification.
- Description: What the vulnerability is and how it exists in the code.
- Impact: What an attacker could achieve by exploiting it.
- Proof of Concept: Sometimes included — a demonstration of how the attack would work, often as pseudocode or a test.
- Recommendation: The auditor's suggested fix.
- Client response: In interactive audits, the development team's response (Acknowledged / Fixed / Won't Fix).
How to prioritize remediation
Don't treat all findings equally. Use this prioritization framework:
- Fix all Critical and High findings before any deployment. No exceptions.
- For Medium findings, assess the likelihood of exploitation and the impact on user funds. Fix any that could cause significant loss under plausible conditions.
- For Low and Informational findings, batch them into a follow-up release — they don't need to block your launch.
- For every fix, re-run automated tools on the changed code and request a partial re-review from the audit firm.
What good reports look like vs. bad reports
Not all audit reports are equal. Warning signs of a poor-quality audit include:
- Only informational and low findings when the codebase is complex — a sign the auditor didn't look hard enough.
- Generic finding descriptions with no specific line references — copy-paste findings from other audits.
- No scope definition or commit hash — you can't verify what was actually reviewed.
- No remediation re-review — the firm didn't check that the fixes worked.
AI audit reports vs. manual audit reports
AI-powered platforms like SmartContract.us generate structured audit reports that follow the same format as professional reports — with severity ratings, descriptions, impact, and recommendations — but produced in under a minute. AI reports are ideal for development-time security checks and pre-audit preparation. Professional manual reports go deeper on economic attacks and protocol-level logic that require human reasoning and context.
Want to see an AI audit report for your contract? Run a free analysis now — no account required.