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HTTPVoid Research | HTTPVoid is an application-security research team led by Rahul Maini and Harsh Jaiswal. Writeups cover our own CVEs alongside deep dives where we reverse and weaponise public n-days from advisories or patch diffs. — 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
fleetwoodsecurity.com ↗	67 match 1 shared topics	Fleetwood Research - Cybersecurity Research & Audits	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ccisrd.net ↗	66 match 1 shared topics	CCISRD - Center for Communication and Informationsecurity Research and Development LLC	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
iamthedarkone.com ↗	66 match 1 shared topics	iamthedarkone \| Security Research & CVEs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
proictconsulting.com ↗	66 match 1 shared topics	Pro ICT Consulting \| ICT & Cybersecurity Research & Advisory	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
forensicsandsecurity.com ↗	65 match 1 shared topics	Forensics and Security Research Group	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
cscan.org ↗	65 match 1 shared topics	Centre for Security, Communications and Network Research, University of Plymouth	en	information-and-network-security	robotsllmsaihumans	emailphone	none
i-logs.com ↗	65 match 1 shared topics	IT Infrastructure, Cloud, Cybersecurity & Custom Applications \| i-Logs	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
prodsecguru.com ↗	65 match 1 shared topics	AppSec Insider – Securing your applications from the ground up: Insights, tips, and best practices for robust application security.	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
kanfrancisco.com ↗	65 match 1 shared topics	APP SECURITY INSIGHTS - Discover security weaknesses from an attacker’s perspective	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 1
kattraxler.cloud ↗	65 match 1 shared topics	No-Slop Research & Human Thoughts on Security	en	information-and-network-security Ghost	robotsllmsaihumans	emailphone	none
leafclick.com ↗	65 match 1 shared topics	leafclick \| Research and development of technologies for autonomous systems and cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kebrit.io ↗	65 match 1 shared topics	Kerbit — Research	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
0xsr.com ↗	65 match 1 shared topics	Suleman Rehman — Red Team Engineer & Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dazzlecatduo.com ↗	65 match 1 shared topics	Dazzle Cat Duo \| Independent Cybersecurity Research	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
sigreturn.com ↗	65 match 1 shared topics	Sigreturn Labs: Cybersecurity services, research & products	en	information-and-network-security	robotsllmsaihumans	emailphone	none
caswaf.org ↗	65 match 1 shared topics	CasWAF \| CasWAF · Web Application Firewall (WAF), aligned with ModSecurity, powered by Casbin and Casdoor	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xpolar.com ↗	65 match 1 shared topics	0xpolar - Cybersecurity Research & Offensive Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
forefy.com ↗	65 match 1 shared topics	forefy - Security Research & Tools	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.