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Webforensicslab alternatives & similar sites

Web Forensics Lab | Discreet NYC Private Investigation Agency — 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
blackfishintel.com ↗	73 match 1 shared topics	Blackfish Intelligence - Investigations & Digital Forensics	United States~ en	information-and-network-security HubSpot	robotsllmsaihumans	email phone	none
copstech.com ↗	70 match 1 shared topics	Copstech \| For Intelligence, Interceptions, Investigations, forensics, cyber investigations	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cryptoscamsupport.com ↗	70 match 1 shared topics	Crypto Scam Support \| Blockchain Forensic Investigation & Digital Asset Analysis	en	information-and-network-security	robotsllmsaihumans	emailphone	none
binalyze.com ↗	68 match 1 shared topics	Binalyze - Automated Investigation and Incident Response	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
cooperroe.com ↗	68 match 1 shared topics	Cooper W. Roe \| Digital Forensics & CTF	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
blacknote-intelligence.com ↗	68 match 1 shared topics	BCI — Private Cyber Intelligence & Digital Executive Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 7
blockforensics.net ↗	68 match 1 shared topics	Block Forensics \| Home Page - Block Forensics	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	partial · 8
blockchaintrace.io ↗	68 match 1 shared topics	Artemis Tracing \| Crypto Scam Investigation & Asset Recovery	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ferdinandmunoz.com ↗	68 match 1 shared topics	IQ FORENSIC We uncover critical insights in complex data.	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
onlinesecurity.com ↗	67 match 1 shared topics	OnlineSecurity \| eDiscovery & Digital Forensics Services	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
2ssdp.com ↗	67 match 1 shared topics	2SSDP \| DheReckahsTeam Web Security Investigation Project	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blockint.ai ↗	67 match 1 shared topics	blockINT.ai — Blockchain Intelligence Platform \| Free Crypto Investigation & Wallet Analysis	en	information-and-network-security	robots llmsaihumans	emailphone	none
onoph.com ↗	67 match 1 shared topics	Anonymization as a Service \| Private Access to Web \| OnOph	en	information-and-network-security	robots llmsaihumans	emailphone	none
cryptosec.net ↗	67 match 1 shared topics	Cryptosec - Crypto Cybersecurity and Investigations	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cryptoriskmanagers.com ↗	67 match 1 shared topics	Cryptosec - Crypto Cybersecurity and Investigations	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cryptosec.ai ↗	67 match 1 shared topics	Cryptosec - Crypto Cybersecurity and Investigations	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
bloctopus.net ↗	67 match 1 shared topics	Blockchain Forensics & Crypto Recovery \| Bloctopus Intelligence	Slovenia~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
mdm-security.org ↗	66 match 1 shared topics	MDM Security & Investigations	en	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.