zrclzrcl/CLCC: CLCC V26.1
Abstract
LLM-driven DBMS fuzzing framework with active (coverage-triggered) and passive generation loops. Coverage feedback with afl-showmap integration, normalization options, and detailed logging for scores and throughput. Dockerized workflows and configs for SQLite, MySQL, MariaDB, PostgreSQL, and DuckDB. Seed management with bundled BSeed/BGSeed/GSeed sets and an optional LLM-based seed generator. SQLRight integration and CLI improvements, including -maxw to cap active LLM workers.
Fields of Study & Subjects
Software Testing and Debugging Techniques
Web Application Security Vulnerabilities
Adversarial Robustness in Machine Learning
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 28 January 2026