Security Scan Report: capable-eclair.netlify.app

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Submitted: Completed: publiccompleted
This website contacted 16 IPs in 6 countries across 9 domains to perform 24 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

Submitted URL: https://capable-eclair.netlify.app/unveiling-the-secrets-of-sofia-kenin-tennis-dominance/

AI Security Verdict

Safe Website

Confidence: 78%

1
Risk Score

Static Netlify blog article about Sofia Kenin. No forms, no brand impersonation, no YARA/IDS/Safe-Browsing hits; the single threat-intel entry is a generic abuse-reputation tag on a third-party resource address, not this page's content.

Safety Factors (4)
Article-type content page with clear byline and readable editorial text
Zero forms and zero credential or payment fields (verified from captured DOM)
No brand impersonation — page discusses a public figure, it does not present itself as her or any organisation
No malware, phishing, or network-level intrusion signals from any scanner
Domain age information unavailable

Details

Page Title

Unveiling The Secrets Of Sofia Kenin's Tennis Dominance - My Static Blog

Scan Type

public

Domain Name Analysis

You're looking at domain 'capable-eclair.netlify.app' on the application-focused generic top-level domain (.app), featuring subdomain 'capable-eclair'. The core label 'netlify' covers 7 characters holding two vowels versus five consonants. Segmentation suggests three words: net, li, fy. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://capable-eclair.netlify.app/unveiling-the-secrets-of-sofia-kenin-tennis-dominance/

Page Load Overview

2.30s
Total Load Time
489 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:18,450 chars
Detector Agreement:100%

Website Classification

Primary Category

blog personal website80% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

blog personal website
80%
documentation technical
77%
download file sharing
73%
government public service
71%
education learning
71%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
963.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
1142.250.154.94Google · CDNUnited States
AS15169Google LLC
1103.224.212.212Australia
AS133618Trellian Pty. Limited
195.217.121.247Helsinki, Uusimaa, Finland
AS24940Hetzner Online GmbH
1150.171.28.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
1172.66.129.60Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
123.111.84.228Netherlands
AS7979Servers.com, Inc.
1167.114.174.44Montreal, Quebec, Canada
AS16276OVH SAS
1104.26.11.2Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2416--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19A333C537EF00139872281D1A86ABB5B7B118507B3128F607C5C569EDF06ED289B7EEC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:b6+MjhkizOYmV9XaYkcRf0kgkFO48Y8YiDyEu358tBqaE1:b6+Mjhki0KYkcRf0kgkFO48Y8Yt5N1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:50613:wDAIIpIh+JmhQBDIAAGiHLICQQUgAUAwIIsMtQIK4gnACIRgIIgIRUYkIELChdiKtsCjoQIGRQtgEEQmAeh4RIEgkAECBBkK

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:00ffffffffffffff
Perceptual Hash:e41b6633474e631b
Difference Hash:499555649595a594
Wavelet Hash:007d7d7d55415743
Color Hash:#931f3c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data