similar sites

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Sites similar to abdulrah33m.com

Abdulrah33m's Blog – Just another security researcher motivated by "why"s · ranked by shared content topics & relevance

dmfrsecurity.com

DMFR SECURITY – another security blog…

1 shared topicsinformation-and-network-security

Teles’s Blog | Security Research

1 shared topicsinformation-and-network-security

matthewcancian.com

Matthew Cancian – Security Studies Researcher

1 shared topicsinformation-and-network-security

0xWeiss - Security Researcher & Auditor

1 shared topicsinformation-and-network-security

BO2K – Cyber Security Blog

1 shared topicsinformation-and-network-security

aashutoshx24.tech

Aashutosh Devkota — Cyber Security Researcher

1 shared topicsinformation-and-network-security

cochaviz.com | Security Researcher

1 shared topicsinformation-and-network-security

thesecurityresearch.com

The Security Research

1 shared topicsinformation-and-network-security

benzimmermann.dev

Ben Zimmermann - Security Researcher

1 shared topicsinformation-and-network-security

Krish Gera - Security Research Blogs

1 shared topicsinformation-and-network-security

0xFern | Independent Security Researcher

1 shared topicsinformation-and-network-security

kursatoguzhanakinci.com

Kürşat Oğuzhan Akıncı | Cyber Security Researcher

1 shared topicsinformation-and-network-security

andygreenphd.com

Andy Green, Ph.D. – Information Security Educator and Researcher

1 shared topicsinformation-and-network-security

anmolsinghyadav.com

Anmol Singh Yadav — Security Researcher

1 shared topicsinformation-and-network-security

Adithyan | Security Researcher & LLM/AI Security

1 shared topicsinformation-and-network-security

Prial Islam - Ethical Hacker | Cyber Security Researcher

1 shared topicsinformation-and-network-security

SCN Research, Inc. – Your Internet Security Solution

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Viknesh Pathmarajah — Security Researcher

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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.