How to Build a Web3 Vulnerability Scanner Like SolidityScan

wSecuring smart contracts has become a critical focus area as Web3 applications handle increasingly sensitive operations and high-value transactions. Vulnerabilities in contract code can lead to major exploits, making real-time security analysis essential. Tools like SolidityScan are designed to detect logic flaws, reentrancy issues, gas inefficiencies, and other threats before deployment. These scanners bring automation, speed, and accuracy into the auditing process, helping developers minimize risks while building on-chain applications.

In this blog, we will talk about how to build a Web3 vulnerability scanner like SolidityScan. You will learn about the key features, development workflow, underlying technologies, and security considerations involved in creating a reliable and scalable auditing platform. As we have helped various enterprises launch their blockchain and AI products across multiple industries, IdeaUsher has the expertise to design, develop, and deploy secure smart contract scanners tailored to your ecosystem’s needs.

What is Web3 Vulnerability Scanner: SolidityScan?

SolidityScan is an automated smart contract security scanner developed by CredShields, tailored specifically for Solidity-based contracts. It detects vulnerabilities mapped to the SWC Registry and uses static analysis combined with contextual heuristics to uncover critical issues like reentrancy, access control flaws, and integer overflows. Designed for both developers and auditors, it integrates with GitHub CI/CD pipelines, enabling secure development practices from the first line of code to production deployment.

How a Web3 Vulnerability Scanner Like SolidityScan Works?

To build a robust Web3 vulnerability scanner like SolidityScan, it’s important to understand how the platform performs security checks on smart contracts. Below is a breakdown of the key stages that power its automated audit system.

1. Smart Contract Import via GitHub

Users can import smart contracts from platforms like GitHub, Bitbucket, or upload local files directly. The tool supports Solidity versions from 0.4.x to the latest, making it compatible with most Ethereum-based projects.

2. Static Code Analysis with SWC Registry Mapping

Once the contract is uploaded, SolidityScan runs a static analysis based on the Smart Contract Weakness Classification (SWC) registry. It scans for 120+ known vulnerability types such as integer overflows, reentrancy attacks, and delegatecall misuse.

3. Automated Severity Scoring

Each vulnerability is automatically classified into levels like Critical, High, Medium, Low, or Informational. The scoring model is trained on real-world CVEs and attack data, allowing developers to prioritize issues accurately.

4. Line-by-Line Vulnerability Reporting

SolidityScan generates a line-by-line vulnerability map of the contract. It flags the exact lines of affected code, and developers can hover over alerts to view remediation suggestions or linked documentation for quick fixes.

5. Continuous Integration (CI) Support

The tool supports integration with CI pipelines like GitHub Actions, Jenkins, or GitLab CI. This allows automatic vulnerability scans to run on every code commit or pull request, helping teams catch issues early.

6. Remediation Guidance and Knowledge Base Links

For every issue found, SolidityScan provides links to its knowledge base, including remediation tips, example fixes, and developer discussions. This reduces time spent searching for solutions.

7. Exportable Reports and Audit Trail

Developers can export audit reports in PDF, JSON, or CSV formats. These are often used for internal reviews, fundraising audits, or security checks before mainnet launches. The tool also maintains an audit trail, allowing teams to track changes and verify whether vulnerabilities were resolved across different versions.

Why You Should Invest In Launching a Web3 Vulnerability Scanner?

The global Web 3.0 market was valued at USD 3.17 billion in 2024 and is expected to grow to USD 99.75 billion by 2034, with a CAGR of 41.18% from 2025 to 2034. This growth indicates broader adoption and increasing demand for AI-powered security tools that safeguard the decentralized stack from the ground up.

SolidityScan by CredShields raised $1.8 million in March 2024 from Draper Associates to develop its AI-powered smart contract scanner. It now integrates with Etherscan, Linea, and Blockscout, providing real-time scores and automated audit summaries for developers and enterprises.

CertiK, another example in this industry, has raised over $80 million and provides formal verification, real-time monitoring, and automated threat detection for leading DeFi protocols.

MythX has raised $15 million, offering comprehensive static and dynamic analysis built directly into developer pipelines for faster feedback loops.

Web3 is evolving rapidly, but security remains a key barrier. Smart contract vulnerabilities can undermine projects. Investing in a vulnerability scanner taps into a market needing scalability, speed, and trust. With AI, APIs, and user-friendly dashboards, your tool can become the security layer for future decentralized apps.

Business Benefits of Building a Web3 Vulnerability Scanner

Before diving into the business-side benefits, it’s important to understand why the demand for Web3 vulnerability scanners is growing. These tools are not just security essentials; they also create new value streams and long-term trust.

1. Enable Proactive Security in Web3

By integrating automated scanning into developer pipelines, you allow for real-time vulnerability detection during deployment. This shifts smart contract security from one-time checks to proactive and continuous protection, reducing the risk of post-launch exploits.

2. Protect Reputation and Build Trust

Security breaches often lead to long-term damage for Web3 platforms. A reliable web3 vulnerability scanner not only prevents such events but also enhances credibility with users, investors, and community members who prioritize safe environments.

3. Lower Cost of Security Through Automation

Automated auditing tools reduce the dependence on manual reviews, making Web3 vulnerability scanning affordable even for early-stage or low-budget dApps. It transforms top-tier security into a scalable, cost-effective solution accessible to all.

4. Differentiate with Ecosystem Integration

Embedding the scanner into other Web3 platforms like wallets, token launchpads, or analytics dashboards makes your tool more than a utility. It becomes a strategic integration that increases retention and opens up new monetization paths.

5. Access a Fast-Growing Market

The demand for smart contract scanners is growing fast, with Web3 security expected to become a multibillion-dollar industry. Early builders can tap into this expansion and position their product as a core developer tool.

6. Offer Insights Based on Industry Standards

Linking vulnerability data to SWC Registry patterns and CVE entries provides standardized, trusted insights. This helps developers understand risks more clearly and benchmark their security posture with industry-wide references.

7. Catalyze Community-Driven Improvement

Launching a public or freemium version of your scanner encourages crowdsourced security testing and community feedback. This builds trust, attracts developers, and mirrors the open ecosystem that Web3 users expect.

Key Features to Include in a SolidityScan-like Tool

To create a competitive smart contract audit platform, your solution should go beyond basic scanning by combining precision, cross-chain access, real-time monitoring, and developer-first integrations. These key features are necessary to match tools like SolidityScan.

1. QuickScan & ThreatScan Analysis Modes

Your web3 vulnerability scanner tool must support two scanning workflows: QuickScan for lightweight, fast auditing of deployed contracts using public blockchain explorer data, and ThreatScan for deep vulnerability analysis on private Solidity code. This dual-mode setup makes your smart contract scanner adaptable for both developers and security teams.

2. Cross‑Chain & Multi-Source Scanning

Your Web3 vulnerability scanner tool should support input from GitHub, local files, and on-chain contract addresses, while accommodating blockchains such as Ethereum, BNB Chain, Solana, Polygon, Avalanche, and Fantom, to ensure wide compatibility for diverse developer needs and decentralized ecosystems.

3. IDE & Browser Integrations

Make security scans more accessible by offering native integrations with Remix and Visual Studio Code. These plugins allow developers to run vulnerability scans directly from their development environment without switching contexts, streamlining workflows for faster, more secure code deployment.

4. Automated Security Scoring & Risk Grading

Generate a real-time security score between 0 and 100, along with detailed severity grading such as critical, high, medium, low, informational, and gas optimization warnings. This structured grading system helps prioritize threat mitigation and reinforces trust in your smart contract audit tool.

5. AI-Powered Remediation Suggestions

Once vulnerabilities are flagged, your tool should deliver AI-generated remediation suggestions contextual to the affected code block. This feature enables developers to understand the risk, learn from mistakes, and fix issues quickly, thereby speeding up the secure smart contract development cycle.

6. Visualized Risk Dashboard & Code Mapping

A clear and interactive dashboard should present a visual representation of the contract structure, with flagged vulnerabilities mapped to specific lines of code. This helps developers locate and fix problems faster and enhances transparency in the smart contract security audit process.

7. Detailed Audit Report Generation

Let users generate full audit reports that summarize findings, outline issue severity, and include security scores. Offer download as PDF or shareable web links, allowing teams to keep proper documentation or share their smart contract audit report with external stakeholders and communities.

8. WebSocket-Based Real-Time Monitoring

Real-time contract monitoring via WebSocket integration helps detect threats in production. Your tool should send instant alerts when suspicious behaviors or new vulnerabilities are detected, enabling active defense for deployed smart contracts across multiple blockchains.

9. GitHub/CI Integration & Collaboration Tools

Enable automated auditing in CI pipelines with support for GitHub repositories, public or private. Add features like team tagging, collaboration, comments, and role-based access control to support team-based development and review processes inside your Web3 security tool.

10. Scalable API & SDK Access

Provide a robust API and developer SDK to embed your scanner into third-party apps, dashboards, or Web3 platforms. This allows other tools or companies to adopt your scanner’s features, turning your product into a scalable smart contract security service.

Development Process for a Web3 Vulnerability Scanner Tool

Before starting development, we outline a clear roadmap from contract input to real-time visualization and AI insights. Our aim is to create a Web3 vulnerability scanner that is accurate, fast, and user-friendly for both public and private smart contract audits.

1. Consultation

We begin by understanding your needs, whether you want to scan public smart contracts, private codebases, or both. Our team will help you decide on tool modes like QuickScan for deployed contracts and ThreatScan for in-depth analysis, aligning the scanner’s scope with your goals and security priorities. This consultation ensures we architect the tool based on real risks, use cases, and compliance needs.

2. Code Ingestion & Source Handling

We support multiple input methods including deployed contract addresses, GitHub repositories, and file uploads. Our team configures automatic fetching of verified source code, dependency resolution, and private repo handling with secure access tokens, ensuring accurate analysis regardless of how the contract code is submitted.

3. Static & Dynamic Analyzer Integration

We will integrate trusted security tools like Slither, Mythril, Manticore, and Echidna to catch over 130 known Solidity vulnerabilities and anti-patterns. Our developers configure them for both static and dynamic scans to detect logic flaws, gas issues, reentrancy, and integer overflows with precise tracebacks.

4. AI-Powered Remediation Suggestions

Once our developers confirm that the vulnerabilities are detected, we implement AI-powered suggestions to provide actionable fixes. Our team will fine-tune language models to offer contextual recommendations such as missing validations or unsafe fallback functions within the scan report so developers can patch quickly and securely without combing through documentation.

5. Multi-Chain & Plugin Support

We ensure the tool supports all major EVM-compatible networks including Ethereum, BNB Chain, Polygon, Avalanche, and Fantom. Our developers will also build integration plugins for VS Code, Remix IDE, and GitHub CI workflows to enable continuous and frictionless security scans during development.

6. Risk Scoring & Audit Report Generation

Our developers will check that the system is generating audit reports with numerical scores, severity tags, and rich insights properly. Each report contains code snippets, fix recommendations, and exportable formats like PDF or JSON. This helps developers, auditors, and investors understand the risk level of each contract and track remediation steps.

7. Real-Time Dashboard & Visual Code Mapping

We design a real-time dashboard with visual mapping of smart contract logic. Developers can explore call graphs, functions, and flagged vulnerabilities using filters by severity or vulnerability type. This improves audit clarity and makes the Web3 vulnerability scanner highly usable for technical and non-technical teams.

8. CI/CD & Collaboration Integration

We build hooks for GitHub Actions and other CI/CD pipelines so security scans run automatically on every pull request or code push. Our platform supports team collaboration, role-based permissions, audit history tracking, and shared workspaces to simplify large-team usage and internal compliance audits.

9. Backend Infrastructure & Scaling

Our backend engineers containerize the scanner using Docker and scale it with Kubernetes for high workloads. We implement sandboxed environments to safely run fuzzing engines, and design task queues to support bulk scanning of repositories or contract addresses without compromising performance.

10. Continuous Feedback & Tool Evolution

We include feedback loops from real audits, exploit data, and user input to constantly improve the scanner’s intelligence. By contributing to open audit contests like Code4rena and reviewing GitHub exploit cases, our developers retrain detection models to enhance vulnerability coverage and AI accuracy over time.

Cost to Develop a Web3 Vulnerability Scanner like SolidityScan

Building a powerful Web3 vulnerability scanner requires various security tools, blockchain integrations, and user experience design for developers and enterprises. Here’s a cost breakdown for each development phase to help plan your investment.

Total Estimated Development Cost: $90,000 – $134,000

Note: The above costs are approximate estimates and may vary depending on your feature requirements, third-party integrations, and the complexity of the blockchain environment. 

Consult with IdeaUsher to get a tailored development strategy, an accurate cost estimate, and the optimal tech stack for your Web3 vulnerability scanner.

Technology Stack and Tools Required

To build a secure, scalable, and intelligent Web3 vulnerability scanner, you need a robust tech stack combining AI, blockchain frameworks, and enterprise infrastructure. Below is a breakdown of core technologies grouped by functionality to explain what powers a platform like SolidityScan.

1. AI and NLP Models for Automated Analysis

At the core of intelligent vulnerability detection are AI models that can understand, reason, and generate insights from smart contract code and audit logs.

• Codex (by OpenAI): Fine-tuned on programming languages, ideal for interpreting Solidity code patterns and suggesting fixes.
• GPT-4 (with audit fine-tuning): Used for summarizing scan results, generating readable reports, and learning from historical bug data.
• Custom LLMs: Trained on internal audit logs and codebases to improve domain-specific accuracy and recommendations.

2. Static Analysis Engines for Deep Code Audits

These engines scan smart contracts for known vulnerabilities without executing them, making them the first line of defense.

• Slither: Fast and extensible tool for identifying security patterns and logic flaws in Solidity.
• Mythril: Symbolic execution engine that detects security bugs like overflows, reentrancy, and denial of service
• Oyente: One of the earliest tools for Ethereum smart contracts, useful for cross-validating scan results.

3. Blockchain Development Frameworks and Tooling

To interact with smart contracts and mainnets/testnets, you’ll need reliable Web3 tooling.

• Web3.js: JavaScript library for communicating with Ethereum blockchain nodes.
• Ethers.js: Lightweight and secure alternative to Web3.js with better performance and usability.
• Foundry: A blazing-fast toolkit for Ethereum app testing and deployment, especially effective for fuzz testing and contract verification.

4. Backend Stack for API and Scan Management

A reliable backend is required to manage scans, store results, and interface with AI and blockchain layers.

• Node.js: Scalable server-side runtime to handle concurrent API calls and webhook triggers.
• Python with FastAPI: Ideal for building AI-serving APIs, parsing contract ASTs, and orchestrating security checks.
• GraphQL: Helps clients query scan data flexibly without over-fetching.

5. Frontend Stack for Dashboard 

The frontend powers the admin dashboards, scan result views, and user interactions.

• React: The foundation for building a fast and dynamic UI.
• Tailwind CSS: Utility-first styling framework to speed up UI development.
• Next.js: Enables server-side rendering and fast API routes for improved performance and SEO.

6. Infrastructure and DevOps for Scalability

To handle thousands of scans and real-time analysis, the infrastructure must be reliable, secure, and scalable.

• Docker: Containerizes each scanner engine and service for portability and isolation.
• Kubernetes: Automates deployment, scaling, and management of containerized workloads.
• AWS or GCP: Provides compute resources, secure networking, and access control for enterprise-grade reliability.

7. Databases and Storage for Reports and Logs

Storing vulnerability reports, historical data, and code snapshots securely is critical for compliance and transparency.

• PostgreSQL: Stores structured scan data, users, and system logs with strong relational consistency.
• Firebase: Useful for authentication, real-time sync, and lightweight database needs.
• IPFS: Used to archive finalized reports and logs on a decentralized file system for audit transparency.

Revenue Models for a Smart Contract Audit Scanner

Before launching a smart contract auditing tool, understanding common monetization strategies helps in designing a sustainable business model. These revenue models are widely used across leading Web3 vulnerability scanner platforms.

1. Freemium + Paid Subscriptions

Many platforms adopt a freemium model where developers access basic scan results for free, while advanced features like deeper analysis, integrations, and faster scanning queues are available via monthly or annual subscription plans.

2. Audit-as-a-Service for Large Clients

Audit scanners often offer a custom security auditing service tailored for enterprises or DeFi platforms. This includes manual reviews, compliance reports, and expert-guided fixes, charged at a premium consulting rate depending on project size and complexity.

3. Developer API Access

Some tools provide API access that enables developers, exchanges, or IDEs to integrate scanning functionality directly into their systems. These APIs are typically monetized through tiered pricing plans based on scan volume, data access, and usage frequency.

4. Marketplace Model for Independent Auditors

Platforms may feature a marketplace where external auditors offer additional services such as manual audits, security reviews, or contract optimizations. This model generates revenue through platform commissions or listing fees paid by the auditors.

5. Tokenized Scanning Credits

To support decentralized access, scanners can use blockchain-based tokens or credits as a payment mechanism. Users purchase tokens that can be redeemed for scans, creating flexibility for DAOs, dApps, and community-based use cases.

Conclusion

Building a Web3 vulnerability scanner like SolidityScan requires a clear understanding of smart contract risks, strong knowledge of static and dynamic analysis methods, and seamless integration of AI for real-time threat detection. Such tools are essential for maintaining the integrity and security of decentralized ecosystems, especially as DeFi, DAOs, and NFTs continue to evolve. By combining smart contract analysis techniques with an intuitive developer interface and robust reporting features, you can deliver a scalable product that empowers teams to deploy with confidence. A well-architected scanner not only enhances transparency but also helps set new standards for security in the blockchain space.

Why Choose IdeaUsher to Build Your Web3 Vulnerability Scanner?

At IdeaUsher, we specialize in building robust Web3 infrastructure that prioritizes smart contract security. Our expertise in blockchain development, AI integration, and vulnerability detection allows us to deliver tools that go beyond surface-level checks and offer deep, real-time risk insights. Whether you need a Solidity-focused scanner or a cross-chain analysis platform, we tailor each solution to your ecosystem’s specific security needs.

Why Work with Us?

• Web3 Security Expertise: We understand the nuances of smart contract vulnerabilities and DeFi security protocols.
• AI-Powered Auditing: Our team integrates machine learning to continuously evolve threat detection accuracy.
• Custom-Built Tools: From UI to backend, we develop vulnerability scanners that fit your exact platform requirements.
• End-to-End Support: From PoC to deployment and scaling, we help ensure your tool stays relevant as the ecosystem grows.

Explore our portfolio to see how we’ve built AI & blockchain solutions that are trusted, efficient, and scalable.

Allow us to help you create a Web3 vulnerability scanner platform that enhances credibility, automates processes, and brings transparency to your smart contract ecosystem.

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