Her Work
Lesia Pidhorodetska is a Senior Open Source Intelligence Analyst at OSINTownia.pl — one of Poland's leading OSINT-focused organisations. Since joining in January 2025, she has applied structured OSINT methodologies to real-world investigative challenges including fraud detection, job scam identification, and digital footprint analysis.
With a background spanning offensive cybersecurity, HUMINT, and intelligence tradecraft, Lesia brings a multidisciplinary approach to her analytical work. She has contributed to OSINTownia.pl's public-facing educational content on OSINT methodology — helping individuals and organisations understand how open source intelligence can be used as a frontline defence against digital threats.
Prior to her intelligence career, Lesia spent nearly nine years in client services at Allianz Partners — building the communication, precision, and professional discipline that now underpin her analytical practice. She is a graduate of the University of Warsaw's Offensive Cybersecurity programme and holds multiple certifications in OSINT and intelligence methodology.
Areas of Specialisation
Open Source Intelligence
Structured OSINT methodology — digital footprint analysis, identity verification, domain analysis, and social media intelligence across multiple platforms and languages.
HUMINT
Human intelligence techniques — source engagement, information elicitation, and integration of human-sourced intelligence with open source findings to build comprehensive investigative profiles.
Cybersecurity & Red Team
Offensive cybersecurity training from the University of Warsaw and HackerU — understanding attack methodologies to strengthen defensive and investigative intelligence capabilities.
Fraud & Scam Detection
Applying OSINT techniques to identify and expose digital fraud, job scams, and impersonation attacks — including domain analysis, image verification, and digital footprint assessment.
OSINT in Action
Digital Identity Verification
Using image analysis, metadata examination, and reverse image search to verify digital identities — exposing AI-generated profiles, stock photo impersonations, and fraudulent recruitment actors.
Infrastructure & Domain Analysis
DNS and WHOIS analysis to assess the credibility of digital entities — identifying newly registered domains, suspicious infrastructure patterns, and red flags indicating fraudulent operations.
Digital Footprint Tracking
Mapping the digital presence of individuals and organisations across registries, social media, and public records — using digital footprint as an intelligence indicator in investigative assessments.