Digital Forensics and Incident Response with 15+ years in the field. Mobile forensics specialist. Building open-source DFIR tools since 2019. Python for DFIR. Native Spanish speaker.
“Tool reports are not the data. The data is the data. Validate everything that matters.”
Education — B.S. in Computer Science, Antillean Adventist University; M.B.A. in Management of Information Systems, Universidad Interamericana de Puerto Rico
CISSP — ISC2 Certified Information Systems Security Professional. Badges on Credly
SANS Institute — FOR 585 Advanced Smartphone Forensics, FOR 498 Battlefield Data Acquisition, Netwars DFIR Champion, recurring DFIR Summit speaker
Recognition — Extraordinary Visiting Scholar, FASTA University — Mar del Plata, Argentina
Podcast — Co-host of Digital Forensics Now — Podcast · YouTube Live
LEAPPs — Creator of the open-source DFIR platform for iOS, Android, vehicle & legal-return forensics; integrated into Autopsy, Paraben, Atrio, Evanole & Mobasi. leapps.org/releases
DFIR Python Study Group — Founder & facilitator; teaching examiners to read and write Python. Session playlist
Blog — Research & notes at abrignoni.blogspot.com
Opinions are mine only, are subject to change, and do not represent my employer or anyone else.
LAVA is a modern reporting and visualization tool for the LEAPPs family of digital forensics parsers (iLEAPP, ALEAPP, etc.). It provides faster, efficient reporting of LEAPPs’ parsed data.
Video explanation & demo: youtube.com/watch?v=17TQn7IsM4E
How to make LAVA compliant artifacts: youtube.com/watch?v=qTgZUh4GPxk
Download: leapps.org/releases
A python based framework to quickly triage iOS full file system extractions and unencrypted iTunes backups. A community project.
Get it: leapps.org/releases
Shares the same codebase as iLEAPP but focused on Android forensic artifacts.
Get it: leapps.org/releases
17-min presentation: youtu.be/Wb35VKHfrgc
Takes web service legal returns, as well as user-initiated archives, and parses them for easy review.
Get it: leapps.org/releases
Takes extractions from cars and parses them for interesting artifacts.
Get it: leapps.org/releases







































