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Sites similar to philkeeble.com

Offensive Research · ranked by shared content topics & relevance

Abdulaziz Almadhi · Offensive Security Researcher | 3ziz.me

2 shared topicsinformation-and-network-security

Adaptable Research

2 shared topicsinformation-and-network-security

adnanthekhan.com

Adnan Khan - Security Research

2 shared topicsinformation-and-network-security

Khirawdhi – Security Researcher & Storyteller

2 shared topicsinformation-and-network-security

Simon Koeck | Security Researcher & Developer

2 shared topicsinformation-and-network-security

iGotRoot - Security Engineer & Researcher

2 shared topicstechnology-and-computing

Home | IliasCyber

2 shared topicsinformation-and-network-security

0xmaruf — Security Researcher & Bug Bounty Hunter

2 shared topicsinformation-and-network-security

arunkhatwe.info

Arun Khatwe | Cybersecurity Engineer & Red Team Researcher

2 shared topicsinformation-and-network-security

0xdeadbeefjerky.com

0xdeadbeefJERKY | Random thoughts and adventures of an offensive security engineer

2 shared topicstechnology-and-computing

2 shared topicsinformation-and-network-security

2 shared topicsinformation-and-network-security

kidneyweakx.com

NEO_TOKYO TERMINAL // kidneyweakx - Web3 Developer & Security Researcher

2 shared topicstechnology-and-computing

2 shared topicsinformation-and-network-security

reproledger.com

ReproLedger - Cryptographic Verification for Computational Research

2 shared topicsinformation-and-network-security

2 shared topicsinformation-and-network-security

Cybersecurity Explained by Paul Ducklin – News, opinion, advice and research, all in plain English

2 shared topicsinformation-and-network-security

the-sequence.com

2 shared topicsinformation-and-network-security

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.