Security Scan Report: airbnb2-delta.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 3 IPs in 2 countries across 2 domains to perform 15 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://airbnb2-delta.vercel.app/

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Airbnb-branded clone on vercel.app with a single-source phishing report and login link; no credential/payment fields captured. High risk due to brand impersonation and threat-intel match.

Risk Factors (4)
Airbnb brand impersonation on non-official domain
Single-source phishing threat-intel match on primary domain
Login / Sign Up link present, though no credential fields captured on this page
Unranked shared-hosting subdomain
Domain age information unavailable

Details

Page Title

airbnb

Scan Type

public

Domain Name Analysis

Domain 'airbnb2-delta.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'airbnb2-delta'. The registrable portion 'vercel' spans 6 characters holding two vowels versus four consonants. Word splitting yields two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Ny airbnb Home Listings .Find your next stay Discover amazing places at exclusive deald ipl Location Check in Check out Fle = mmo =O = mMypo/yvyy ~ Popular Destinations * Featured Stays

Page Load Overview

1.28s
Total Load Time
634 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:334 chars
Detector Agreement:100%

Website Classification

Primary Category

travel tourism60% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

travel tourism
60%
real estate property
58%
adult content
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
564.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
5216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
5146.75.122.208Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
153--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14111290475E0840656352B81BEC1FC68AD85F74B8149E9B0E0E761BD0FA0F928E57879

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hRoMAzy7hqsKWOsVQja/QHI5AiwbGMbUWCEfGnqAEd1:hRJMCHKWHVic+mAil8UWLGn7E7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:875:gIAAAAAAQAAAAAAAAIAAAIAgCgAACAAAAAAAEASAAAQAAAAAAIBABAAAAAAKEAAgAAAAAAAAgAABAAAAAAAAAAAAAAAAAQAA

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:f4000000c0ffffff
Perceptual Hash:d65aa9b4b2838be8
Difference Hash:052061cc84406561
Wavelet Hash:f1000000c4ffffff
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data