Scheduled maintenance will take place between 6:00 PM ET and 7:00 PM ET on March 10th, 2026. During that time, this site may be temporarily unavailable for a period of approximately two minutes.
Publications
Bug Framework (BF): Formalizing Cybersecurity Weaknesses and Vulnerabilities
Documentation
Topics
Date Published: July 2024
Author(s)
Irena Bojanova (NIST)
The Bugs Framework (BF) is a classification of security bugs and related faults that features a formal language for the unambiguous specification of software and hardware security weaknesses and vulnerabilities. BF bugs models, multidimensional weakness and failure taxonomies, and vulnerability models define the lexis, syntax, and semantics of the BF formal language and form the basis for the definition of secure coding principles. The BF formalism supports a deeper understanding of vulnerabilities as chains of weaknesses that adhere to strict causation, propagation, and composition rules. It enables the generation of comprehensively labeled weakness and vulnerability datasets and multidimensional vulnerability classifications. It also enables the development of new algorithms for code analysis and the use of AI models and formal methods to identify bugs and detect, analyze, prioritize, and resolve or mitigate vulnerabilities.
The Bugs Framework (BF) is a classification of security bugs and related faults that features a formal language for the unambiguous specification of software and hardware security weaknesses and vulnerabilities. BF bugs models, multidimensional weakness and failure taxonomies, and vulnerability...
See full abstract
The Bugs Framework (BF) is a classification of security bugs and related faults that features a formal language for the unambiguous specification of software and hardware security weaknesses and vulnerabilities. BF bugs models, multidimensional weakness and failure taxonomies, and vulnerability models define the lexis, syntax, and semantics of the BF formal language and form the basis for the definition of secure coding principles. The BF formalism supports a deeper understanding of vulnerabilities as chains of weaknesses that adhere to strict causation, propagation, and composition rules. It enables the generation of comprehensively labeled weakness and vulnerability datasets and multidimensional vulnerability classifications. It also enables the development of new algorithms for code analysis and the use of AI models and formal methods to identify bugs and detect, analyze, prioritize, and resolve or mitigate vulnerabilities.
Hide full abstract
Keywords
bug classification; bug identification; software/hardware weakness taxonomy; vulnerability detection; safe coding; formal language; specification generation; weakness dataset; vulnerability dataset; vulnerability classification; software bug; firmware bug; hardware defect; hardware logic bug; bug triaging; software error; software fault; software weakness; hardware weakness; software vulnerability; hardware vulnerability; exploit; security failure; secure coding; vulnerability resolution; vulnerability mitigation; labeled dataset; generation tool; graph generation; AI models; formal methods; CVE; CWE; NVD; KEV
Control Families
None selected