Security Scan Report: clonit.netlify.app

Redirected to:
https://clonit.netlify.app/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 4 domains to perform 26 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

Submitted URL: http://clonit.netlify.app/

Effective URL:
https://clonit.netlify.app/
Redirected

AI Security Verdict

Moderate Risk

Confidence: 65%

5
Risk Score

Static Spotify-branded UI clone on a netlify.app subdomain — brand impersonation with no forms, no credential/payment collection, and no threat-intel, malware, or IDS hits. Risky branding but no active data theft.

Risk Factors (2)
Displays another entity's brand (Spotify) on a domain it does not own
Hosting-platform subdomain of unknown creation age
Safety Factors (4)
Zero forms — no password, username, or payment fields, so no credential or payment harvesting
No Indicators of Compromise, no JavaScript hunting rule malware matches, no IDS/Suricata alerts, no known phishing kits
No cross-origin credential exfiltration or hidden password fields
Page is a static UI replica with no data-collecting functionality
Domain age information unavailable

Details

Page Title

Spotify - Web Player: Music for everyone

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'clonit.netlify.app' is registered and includes subdomain 'clonit'. The registrable portion 'netlify' spans 7 characters with 2 vowels and five consonants. Breaking it apart gives three words: net, li, fy. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

<> Recently,Played ) ‘Create your first playlist! — cam Top 5O0_- Global our Daily updates of ‘the most play Let's find some podcasts to, Fallow, We'll keep you updated on new episodes, Browse p...

Page Load Overview

1.05s
Total Load Time
537 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:947 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content75% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

adult content
75%
social media network
74%
entertainment media
68%
news media journalism
58%
cryptocurrency blockchain
55%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
835.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
3104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.14.95Google · CDNUnited States
AS15169Google LLC
363.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
3142.250.154.95Google · CDNUnited States
AS15169Google LLC
3142.251.13.94Google · CDNUnited States
AS15169Google LLC
3104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
267--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12B0256A016F684B701E2D1C0AA61BF4A3ED09343CA5F854476FE2A989F9AD43CC5792C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:T0TG6+B3NZu76hySa+1k2b765U3W5cclGyn:zhhyJwq1n

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8223:MVRDIRGQAgSAnICmAgDAQzdRGDBiCAAZmf9NdEyAqiJBQAykhUBAIEAhAmEZoJgnFNkxCQYBgWipwmggIEUQAKlADQSkkI80

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:03e0e0e0ff3f6900
Perceptual Hash:a3730b943c6b1cb5
Difference Hash:5341550954f4c9d1
Wavelet Hash:03e1e1e1bf3f3d00
Color Hash:N/A

Other Hashes

Crop Resistant:5341550954f4c9d1

Scan History

Scan history not available

Unable to load historical scan data