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Sites similar to wehackpeople.com

Wehackpeople alternatives & similar sites

We Hack People | Covert Entry & Red Team Ops — 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
satyamrastogi.com ↗	69 match 1 shared topics	Satyam Rastogi \| vCISO & Red Team Expert	India~ en	information-and-network-security Sanity	robotsllmsaihumans	emailphone	partial · 8
marufmurtuza.com ↗	68 match 1 shared topics	Maruf Bin Murtuza \| Red Team Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
adversaryholdings.com ↗	68 match 1 shared topics	Principle Breach \| Penetration Testing & Red Team Security Services	en	information-and-network-security	robots llmsaihumans	email phone	none
dicesoft.net ↗	68 match 1 shared topics	Stephen Chavez - Red Team Software Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
silentstrike.io ↗	66 match 1 shared topics	SilentStrike - Red Teaming & Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nethemba.co.uk ↗	66 match 1 shared topics	Penetration Testing, Red Teaming & Security Audits \| Nethemba	United Kingdom en	information-and-network-security WordPress	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
1redteam.com ↗	65 match 1 shared topics	1RedTeam - Red & Blue Team Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
jahiz.app ↗	65 match 1 shared topics	CyberAssistant — Enterprise Security Testing Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
weaklink.io ↗	64 match 1 shared topics	WeakLink Security \| Penetration Testing & Red Teaming	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oneinfosec.co.uk ↗	64 match 1 shared topics	Offensive Cybersecurity Experts - CovertSwarm	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
0secure.com ↗	64 match 1 shared topics	ZeroHack \| cybercrime prevention & response	en	information-and-network-security Wix	robotsllmsaihumans	emailphone	none
1infosec.com ↗	64 match 1 shared topics	Offensive Cybersecurity Experts - CovertSwarm	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
1informationsecurity.com ↗	64 match 1 shared topics	Offensive Cybersecurity Experts - CovertSwarm	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
overtswarm.com ↗	64 match 1 shared topics	Offensive Cybersecurity Experts - CovertSwarm	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
janafortis.com ↗	64 match 1 shared topics	Cybersecurity & Ethical Hacking	en	information-and-network-security	robotsllmsaihumans	emailphone	none
netforensics.co.uk ↗	64 match 1 shared topics	Home \| Information security consultants \| Cyberis Reply Limited	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
bouhoun.com ↗	64 match 1 shared topics	Bouhoun Boukraa \| Cybersecurity & Penetration Testing \| Ethical Hacker	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.