Security Scan Report: booking-clone-nextjs.netlify.app

Redirected to:
https://booking-clone-nextjs.netlify.app/
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Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 5 domains to perform 22 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

Submitted URL: http://booking-clone-nextjs.netlify.app/

Effective URL:
https://booking-clone-nextjs.netlify.app/
Redirected

AI Security Verdict

Low Risk

Confidence: 62%

3
Risk Score

Unrelated Netlify-hosted page reusing Booking.com branding and images ('Booking.com clone'). No credential or payment forms, no Indicators of Compromise, no malware — brand misuse without phishing collection.

Risk Factors (3)
Use of Booking.com name, visual identity and CDN images on a domain not owned by Booking.com (unofficial Netlify subdomain)
Vague 'Booking.com clone' framing rather than a clearly labelled non-commercial demo or fan project
Host is an anonymous free-subdomain platform tenant with no attributable registration date
Safety Factors (6)
No credential-harvesting or payment form on the page — only a travel search form with no data submission fields of value to phishers
No Indicators of Compromise, no hunting rule malware hits, no network IDS alerts
No cross-origin credential submission or JavaScript exfiltration behaviour
No obfuscated scripts or hidden credential fields
Self-describes as a 'clone', which is consistent with a developer/portfolio demo rather than an active credential phish
Page presents itself as a developer clone/tutorial build of a well-known product and offers no sign-in, wallet, payment or download step — a practice project, not an impersonation attempt
Domain age information unavailable

Details

Page Title

Booking.com clone

Scan Type

public

Domain Name Analysis

Domain 'booking-clone-nextjs.netlify.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'booking-clone-nextjs'. The second-level label 'netlify' is 7 characters long holding two vowels versus 5 consonants. Splitting it apart reveals 3 words: net, li, fy. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Booking.com Stays v Flights Car Rentals Find your Next Stay Search low prices on Hotels, homes and much more... Location Dates Trending Destinations Most Popular choices for travellers from around...

Page Load Overview

2.13s
Total Load Time
381 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:414 chars
Detector Agreement:100%

Website Classification

Primary Category

travel tourism40% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

travel tourism
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
763.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
3146.75.120.238Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
399.84.152.98Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
399.84.152.38Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
335.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
399.84.152.94Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
226--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CAB2B7213001ED6FED5B5E6C357DBD3A618CD36ECA6ACAA4C2E4D92143C2C75DE529C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:toOFu4kYsXnJDaq5qvGUoxYUFUi3UkUqYTNBL/8vC7piYhMC:toOFu4Xs3FU8YqUYUkUqYzL/8vC7YYhN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23720:KBiQ0CAMSOxoagBkICRQKg0SiBmIAAhQQKRVpBwACAH4V33AgJBw4ANkDiHEEAxhPgVWJMiCDhAgIKBhGNBJmVZByEBIoNQS

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:00003c7c747c7eff
Perceptual Hash:c33bbc44eb9184ba
Difference Hash:c0c3f0c8c8c4dc02
Wavelet Hash:00003c7c7c747eff
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data