Security Scan Report: www.familyproof.com

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Submitted: Oct 1, 2026, 6:36:31 PMCompleted: Oct 1, 2026, 6:37:54 PMpubliccompleted

This website contacted 87 IPs in 2 countries across 57 domains to perform 287 HTTP transactions. The main domain is familyproof.com and was registered 9 years ago.

Submitted URL: https://www.familyproof.com/family/kylie-kelce-invites-kate-middleton-join-podcast

The Cisco Umbrella rank of the primary domain is #452,544 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Established 15-year-old entertainment/news site publishing an editorial article; self-branded, no forms, no IoCs, YARA, or phishing indicators. Legitimate content page.

Safety Factors (5)
15+ year old established domain
Content is editorial/news article with author byline (Alexandria Wyckoff) and publication date
No forms, no password/payment fields, no credential handling
No Indicators of Compromise, YARA, Safe Browsing, or phishing/malware IDS alerts
Self-branding consistent with domain
Domain age information unavailable

Details

Page Title

Kylie Kelce Invites Kate Middleton to Join Her Podcast for a Chat About Sports and Parenting

Scan Type

public

Domain Name Analysis

Domain 'www.familyproof.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. Its registrable label 'familyproof' stretches across 11 characters containing four vowels alongside seven consonants. It segments into two words: family, proof. Median word length is 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.familyproof.com/family/kylie-kelce-invites-kate-middleton-join-podcast

Page Load Overview

5.31s
Total Load Time
8.4 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:84,170 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media41% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
41%
news/blog
35%
corporate
35%
social media network
32%
government public service
31%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
29172.66.42.211Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
323.52.181.124Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
3172.67.74.120Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3162.159.140.229Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
318.64.211.80Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3104.26.7.99Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.17.111.223Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.18.12.153Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
316.15.47.58Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
3192.178.183.97Google · CDNUnited States
AS15169Google LLC
28787--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A305D832F940192FA73B45C8A649D70972D6A31FF4D90460E5DA072C87E5EB8B42F3A7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:oXtlylgPXERwl8NQoS5echu8KZvaqjNseSj4fFtNx+U3DhID:o9eRlmoS5ecctl6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:857259:ZBACIHYkI0gASZiIiiHQGUYzILAiVmIg0AGCsaSRofCwW4IkEMgAxUkcmFguLwEQBBgkwAwBVoggBMBtjAeRAJIwEQXJoDeI

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:0000181c1c1c0000
Perceptual Hash:9ccb6238cb32cd3c
Difference Hash:4933323232322d2d
Wavelet Hash:ed0099bf9c9c8080
Color Hash:#b279d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data