FibroHash: A Cryptographically Secure Password Generation Framework for System Administration

FibroHash is an enterprise-grade, cryptographically secure password generation framework designed specifically for system administrators and security professionals. Unlike traditional password generators that rely on simple randomization, FibroHash implements a novel multi-layered cryptographic approach combining PBKDF2 key derivation, HMAC-based entropy generation, and mathematical sequence algorithms to produce passwords with guaranteed entropy levels exceeding 190 bits. The framework addresses critical security gaps in existing password generation tools by implementing proper cryptographic salt handling, resistance to timing attacks, and compliance with modern security standards including NIST SP 800-63B, PCI DSS, and ISO/IEC 27001. FibroHash operates entirely offline using only Python's standard library, ensuring no external dependencies or network communications that could compromise security. Key features include configurable PBKDF2-HMAC-SHA256 iterations (1,000-10,000), built-in entropy analysis tools, automated compliance validation, and comprehensive security auditing capabilities. The framework provides both command-line interfaces for operational use and programmatic APIs for integration into larger security frameworks.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-06
DOI
https://doi.org/10.5281/zenodo.17546159
Primary Topic
User Authentication and Security Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

FibroHash: A Cryptographically Secure Password Generation Framework for System Administration

Zenodo (CERN European Organization for Nuclear Research)
User Authentication and Security Systems
article

FibroHash: A Cryptographically Secure Password Generation Framework for System Administration

article en

Abstract

FibroHash is an enterprise-grade, cryptographically secure password generation framework designed specifically for system administrators and security professionals. Unlike traditional password generators that rely on simple randomization, FibroHash implements a novel multi-layered cryptographic approach combining PBKDF2 key derivation, HMAC-based entropy generation, and mathematical sequence algorithms to produce passwords with guaranteed entropy levels exceeding 190 bits. The framework addresses critical security gaps in existing password generation tools by implementing proper cryptographic salt handling, resistance to timing attacks, and compliance with modern security standards including NIST SP 800-63B, PCI DSS, and ISO/IEC 27001. FibroHash operates entirely offline using only Python's standard library, ensuring no external dependencies or network communications that could compromise security. Key features include configurable PBKDF2-HMAC-SHA256 iterations (1,000-10,000), built-in entropy analysis tools, automated compliance validation, and comprehensive security auditing capabilities. The framework provides both command-line interfaces for operational use and programmatic APIs for integration into larger security frameworks.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 32%
User Authentication and Security Systems
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