We present an innovative framework that combines Slither, an RFC classification system, and large language models to automatically classify and repair vulnerabilities in smart contracts with over 97% success, preserving the original functionality of the contracts.
The novel pipeline integrates several clearly defined stages. First, a deep static analysis is performed with Slither to detect vulnerability patterns and extract metadata from Solidity code. Next, an RFC module is applied to classify failure types and prioritize interventions based on impact and frequency. In the repair phase, LLMs generate suggested patches guided by secure templates and style rules, producing minimal changes that fix the vulnerability without altering the expected logic. Finally, an automated verification step runs unit tests, equivalence comparisons, and simulations to ensure that functionality is maintained and no regressions are introduced.
The results are compelling: the combination of static analysis, intelligent classification, and LLM-based generation achieves a success rate of over 97% in identifying and automatically repairing real vulnerabilities, with validation that preserves functionality. This approach reduces average mitigation time, improves failure detection coverage, and facilitates mass correction of contracts in production environments.
Scalability and production practices. The system is designed to integrate into CI CD pipelines and to process large smart contract bases in parallel, enabling secure deployments and automated reviews before each release. It also incorporates auditable reports and traceability to meet audit and cybersecurity requirements, and is compatible with deployments on aws and azure cloud services to ensure availability and scalability.
Advantages for companies. This pipeline provides a practical solution for organizations seeking to strengthen their cybersecurity posture in blockchain development, adopt artificial intelligence applied to software assurance, and accelerate the correction cycle without sacrificing quality. It is particularly valuable for teams that require custom software and custom applications with formal guarantees and automated controls.
Q2BSTUDIO offers the necessary expertise to implement and adapt this pipeline to your company's needs. We are a software development company specialized in custom applications and custom software, specialists in artificial intelligence and cybersecurity, with capabilities in aws and azure cloud services, business intelligence services, and AI solutions for companies. We design AI agents, implement integrations with power bi for advanced reporting, and provide complete consulting to deploy automated smart contract classification and repair flows.
Services we offer: cybersecurity audits in smart contracts, integration of the Slither RFC LLM pipeline into your repositories, custom software development, applied artificial intelligence consulting, deployment on aws and azure cloud services, business intelligence service solutions, implementation of AI agents, and power bi dashboards for continuous monitoring and data-driven decision making.
If you wish to protect your smart contracts, optimize development processes with artificial intelligence, and benefit from an automatic repair rate of over 97 percent while preserving functionality, contact Q2BSTUDIO for a personalized evaluation and a custom integration proposal.
