Top expert inCybersecurity Analytics and Threat Intelligence
Alexandre Dulaunoy is a cybersecurity researcher and engineer with 18 years of experience who co-chairs the OASIS Cyber Threat Intelligence TC and leads research at CIRCL, driving automated information sharing and real-time network defense. A core member of the MISP project, he has deep hands-on expertise building back-end tooling for threat intel — from enrichment modules and taxonomies to warning lists and galaxy documentation — and has contributed notable improvements to widely used projects like PyMISP and cve-search. He blends academic lecturing and community-building (co-founding hack.lu) with practical engineering, often implementing Python-based indexing, Redis caching, and Whoosh full-text tooling. Known for enjoying unexpected human–machine interactions, he combines playful curiosity with rigorous operational security, making complex threat data more machine-readable and actionable.
Modules for expansion services, enrichment, import and export in MISP and other tools.
Role in this project:
Back-end Developer
Contributions:4 releases, 550 commits, 260 PRs in 7 years
Contributions summary:Alexandre primarily contributed to the development of expansion modules, enrichment services, and other tools for MISP. Their work involved implementing a DNS expansion module using Python and the `dns.resolver` library, adding a passivetotal expansion module, and integrating a caching module with Redis. The user also made improvements to the module server, including adding logging, versioning, and module type information.
Taxonomies used in MISP taxonomy system and can be used by other information sharing tool.
Role in this project:
Back-end Developer
Contributions:1 release, 2 reviews, 703 commits in 7 years 3 months
Contributions summary:Alexandre's primary focus within the `misp/misp-taxonomies` repository involved developing tools for parsing and generating machine tags from MISP taxonomies. They added support for various taxonomies like VERIS, CIRCL, and others related to incident response and classification. The user also implemented features to handle different JSON formats and generate asciidoctor documentation for the taxonomies. The contributions involved modifying Python scripts and introducing new taxonomies, which involved the creation of data processing tools.
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