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Digital Forensics Laboratory – Digital Forensics Laboratory — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Information And Network Security →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
cyber4hacks.net ↗	64 match 1 shared topics	Blockchain and Security – A Digital Revolution	fr	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
investigate-digital.com ↗	63 match 1 shared topics	Investigate Digital — OSINT & Breach Search	fr	information-and-network-security	robotsllmsaihumans	emailphone	none
dataserenity.ch ↗	63 match 1 shared topics	Data Serenity - Digital Trust & Risk Management	Switzerland fr	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
acedigitale.ch ↗	63 match 1 shared topics	ACE DIGITALe – Experts en #Cybersécurité #Dev et #Ops à Genève et Lausanne	Switzerland fr	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
investigationnumerique.com ↗	62 match 1 shared topics	Expert Investigation Numérique & Forensique \| JPS	fr	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
investigation-numerique.com ↗	62 match 1 shared topics	Expert de justice informatique Laboratoire d'expertise et d'investigation numérique	fr	information-and-network-security	robotsllmsaihumans	emailphone	none
adnov.fr ↗	62 match 1 shared topics	ADNOV : Transformation digitale des professions réglementées	France fr	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
intervalle-technologies.com ↗	62 match 1 shared topics	Empruntez la Route de la Digitalisation en toute Sécurité \| Intervalle Technologies	fr	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyber-safe.ch ↗	61 match 1 shared topics	Cyber-Safe – Le Label Suisse de Cybersécurité	Switzerland fr	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cryptographie.fr ↗	61 match 1 shared topics	Crypto Team – CASCADE	France fr	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptography.fr ↗	61 match 1 shared topics	Crypto Team – CASCADE	France fr	information-and-network-security	robotsllmsaihumans	emailphone	none
htc-rdc.com ↗	61 match 1 shared topics	High Tech Consultancy – Vos solutions numériques à votre portée	fr	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
hydroelec-tn.com ↗	61 match 1 shared topics	CyberShield – Accès Bloqué	fr	information-and-network-security	robotsllmsaihumans	emailphone	none
ccibois.com ↗	61 match 1 shared topics	CyberShield – Accès Bloqué	fr	information-and-network-security	robotsllmsaihumans	emailphone	none
dotnetfreaks.com ↗	61 match 1 shared topics	DDoS attacks – Our tips for preventing and reacting to DDoS attacks	fr	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
skiaexport.com ↗	61 match 1 shared topics	CyberShield – Accès Bloqué	fr	information-and-network-security	robotsllmsaihumans	emailphone	none
cape-cybersecurity.eu ↗	61 match 1 shared topics	Cape – Making cyberspace a safer place	European Union fr	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
digiprotect.ch ↗	61 match 1 shared topics	Cybersécurité PME Suisse \| Digiprotect	Switzerland fr	information-and-network-security	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.