similar sites

Browse

Pricing AI Report

Tools

🚀Submit Your Site to AIPush your URL to AI search engines 🤖AI Crawler CheckerSee which AI bots your site blocks 🎯AI Readiness CheckerScore your site 0–100 for AI 🔗Backlink CheckerWho links to any site — free All tools →

Browse free →

Sites similar to blacktool.tech

Blacktool alternatives & similar sites

Researcher Area — 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
sssresearch.com ↗	70 match 1 shared topics	SSS Research Group	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackhatresearch.com ↗	70 match 1 shared topics	BlackHat Research	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xweiss.com ↗	70 match 1 shared topics	0xWeiss - Security Researcher & Auditor	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0deepresearch.com ↗	69 match 1 shared topics	0DeepResearch Insights	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackswordresearch.com ↗	69 match 1 shared topics	BlackSword Research	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
corak.io ↗	68 match 1 shared topics	Daniel Corak - Founder & Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xfern.com ↗	68 match 1 shared topics	0xFern \| Independent Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xsha.io ↗	67 match 1 shared topics	0xSHA · Security Research & Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
3rabdev.online ↗	66 match 1 shared topics	3ràb \| Software Engineer & Security Researcher	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
0xahmadyousuf.com ↗	66 match 1 shared topics	Ahmad Yousuf - Security Researcher · Post-Quantum Cryptographer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xsr.com ↗	66 match 1 shared topics	Suleman Rehman — Red Team Engineer & Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xprial.com ↗	66 match 1 shared topics	Prial Islam - Ethical Hacker \| Cyber Security Researcher	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
badi-sh.com ↗	66 match 1 shared topics	Adityan Balasubramanian - Cybersecurity Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackethics.dev ↗	66 match 1 shared topics	Md Abu Saeed \| Penetration Tester & Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xteles.com ↗	66 match 1 shared topics	Teles’s Blog \| Security Research	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
bluecayman.org ↗	66 match 1 shared topics	AVOA - Research and Advisory Services	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
bluecayman.net ↗	66 match 1 shared topics	AVOA - Research and Advisory Services	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
ssrlab.org ↗	66 match 1 shared topics	Scalable Security Research Lab \| LSU	United States~ 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.