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Partha Bishwas - Offensive Application Security Engineer | Web, API & Mobile Security — 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
davyrogers.uk ↗	75 match 1 shared topics	Davy Rogers - Lead Application Security Engineer \| CISSP, OSCP	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
davyrogers.co.uk ↗	75 match 1 shared topics	Davy Rogers - Lead Application Security Engineer \| CISSP, OSCP	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xpolar.com ↗	73 match 1 shared topics	0xpolar - Cybersecurity Research & Offensive Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
seungwon.dev ↗	73 match 1 shared topics	Seungwon \| Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
eilonc.com ↗	72 match 1 shared topics	Eilon Cohen \| Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
session0.dev ↗	72 match 1 shared topics	Amal PK - Application Security Analyst	India~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xprasanna.com ↗	71 match 1 shared topics	Prasanna \| Application Security Portfolio	en	information-and-network-security	robotsllmsaihumans	email phone	none
miguelsecurity.com ↗	71 match 1 shared topics	Miguel Cazares - Security Engineer (Mobile + AppSec) - Del Rio, TX	en	information-and-network-security	robotsllmsaihumans	emailphone	none
philipkohn.com ↗	71 match 1 shared topics	Philip Kohn — Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
boostsecurity.io ↗	71 match 1 shared topics	Application Security Management & Supply Chain Protection \| BoostSecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ashishdevchoudhary.com ↗	71 match 1 shared topics	Ashish Dev Choudhary \| Cybersecurity Engineer	en	information-and-network-security	robotsllmsaihumans	email phone	none
0xsha.io ↗	71 match 1 shared topics	0xSHA · Security Research & Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
michifuchs.com ↗	71 match 1 shared topics	Michael Fuchs - Software Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
rcesecurity.info ↗	70 match 1 shared topics	RCE Security \| Penetration Tests. Source Code Reviews. IT Security Audits.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
rce-security.org ↗	70 match 1 shared topics	RCE Security \| Penetration Tests. Source Code Reviews. IT Security Audits.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
rce-security.net ↗	70 match 1 shared topics	RCE Security \| Penetration Tests. Source Code Reviews. IT Security Audits.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
rce-security.info ↗	70 match 1 shared topics	RCE Security \| Penetration Tests. Source Code Reviews. IT Security Audits.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyfoantihack.com ↗	70 match 1 shared topics	CYFO Anti Hack App - Mobile Security & Cybersecurity Solutions	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.