similar sites

Browse

AI Report Tools

Sites similar to pruva.dev

Pruva alternatives & similar sites

Pruva — 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
0defect.com ↗	64 match 2 shared topics	0Defect - Smart Contract Auditing Services \| ETH , BSC, SOL, MATIC, NFT	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
attackchain.ai ↗	63 match 2 shared topics	Attack Chain: Hardware & Firmware Vulnerabilities \| Attack Chain	en	technology-and-computing	robotsllmsaihumans	emailphone	none
sjviklabs.com ↗	63 match 2 shared topics	SJVIK Labs	en	technology-and-computing Gumroad	robotsllmsaihumans	emailphone	none
mythx.io ↗	62 match 2 shared topics	MythX: Smart contract security service for Ethereum	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
integsec.com ↗	62 match 2 shared topics	IntegSec - Secure Today, Ready for Tomorrow	en	information-and-network-security HubSpot	robots llmsaihumans	emailphone	none
pruvendo.com ↗	62 match 2 shared topics	Pruvendo - Formal Verification for Smart Contracts	en	information-and-network-security	robotsllmsaihumans	emailphone	none
astro-ai.dev ↗	62 match 2 shared topics	Apex Commons - Building Secure Automation for the Public Good	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cseregistry.org ↗	62 match 2 shared topics	CSE Registry - Compliance Signal Enumeration	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xsp.com ↗	62 match 2 shared topics	Game of Hide and Seek: Detecting Dynamic API Resolution at Runtime With Aether - 0xsp SRD - Security Research & Development	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
garymcgraw.com ↗	62 match 2 shared topics	Gary McGraw	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
csanchez.dev ↗	62 match 2 shared topics	CSanchezAustin \| Musings and experiments on Identity, DevOps, and Security.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hrishikeshpjadhav.com ↗	62 match 2 shared topics	Hrishikesh Jadhav — Cybersecurity Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xdeadbeef.info ↗	62 match 2 shared topics	0xdeadbeef dot info \| raptor's labs	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
3coresec.com ↗	62 match 2 shared topics	3CORESec \| Home	en	technology-and-computing Webflow	robotsllmsaihumans	emailphone	none
provally.io ↗	62 match 2 shared topics	AutoProof: The Proof Layer for SAST Findings \| Provally	en	information-and-network-security	robots llmsaihumans	emailphone	none
provallyteam.com ↗	62 match 2 shared topics	AutoProof: The Proof Layer for SAST Findings \| Provally	en	information-and-network-security	robots llmsaihumans	emailphone	none
0xhabib.tech ↗	62 match 2 shared topics	0xHabib - Cybersecurity Learning Journey	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vopverify.com ↗	62 match 2 shared topics	VOP Verify - Evaluate your Verification of Payee (VoP) Environment and Matching Engine	en	technology-and-computing WordPress	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.