Security Scan Report: www.airbnb-app-sepia.vercel.app

Redirected to:
https://airbnb-app-sepia.vercel.app/
Site favicon
Submitted: Sep 24, 2026, 12:45:27 PMCompleted: Sep 24, 2026, 12:46:47 PMpubliccompleted

This website contacted 4 IPs in 1 country across 3 domains to perform 35 HTTP transactions. The main domain is airbnb-app-sepia.vercel.app and was registered 23 years ago.

Submitted URL: https://www.airbnb-app-sepia.vercel.app/

Effective URL:

https://airbnb-app-sepia.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 75%

7
Risk Score

Airbnb-branded clone on a vercel.app subdomain flagged by Google Safe Browsing for Social Engineering. No credential or payment forms present, but brand impersonation plus the Safe Browsing hit makes it high-risk.

Risk Factors (3)
Impersonation of the Airbnb brand on a non-Airbnb domain
Google Safe Browsing Social Engineering detection
Deceptive clone UI mimicking a major booking brand
Domain age information unavailable

Details

Page Title

Create Next App

Scan Type

public

Domain Name Analysis

The domain 'www.airbnb-app-sepia.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'www.airbnb-app-sepia'. Count 6 characters in 'vercel' with 2 vowels and four consonants. Segmentation suggests two words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.airbnb-app-sepia.vercel.app/

Page Load Overview

2.43s
Total Load Time
610 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:916 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software56% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
56%
news media journalism
49%
travel tourism
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
8216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
8216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
8185.15.59.240United States
AS14907Wikimedia Foundation Inc.
354--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A4B272B0E780AC53A867B98AF544D7DCD01A5546FA899AD4F19CCD8817EBCF70E403A3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:UfTtNu7Nn26p91j/XnoSA0sWCyqP7lZhfrDDsPOKKcA4w9K+66Mwogt1jv/dBxB/:9JomYyc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:25337:GoBiRGCQ2EZtpK0nZAsiYsxNOFh6QQcCgBWRx4mRAgTaYIAJxCgKgBC8DoARUlwBAUhEAPIFGDQAhI3QACGL2kxQS0gWRMyI

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:ff3c6c32129fff9f
Perceptual Hash:8441bbad2cf3ba25
Difference Hash:48c4c8c4e63a5e2a
Wavelet Hash:ff180010109fff9f
Color Hash:#78763a

Other Hashes

Crop Resistant:48c4c8c4e63a5e2a

Scan History

Scan history not available

Unable to load historical scan data