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

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Submitted: Sep 24, 2026, 1:45:41 PMCompleted: Sep 24, 2026, 1:47:07 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Airbnb-branded clone page on a vercel.app subdomain, flagged by Google Safe Browsing for Social Engineering. No credential or payment forms, but brand misuse plus the Safe Browsing hit make it risky.

Risk Factors (4)
Unrelated use of the Airbnb brand on a domain not owned by Airbnb (brand impersonation)
Google Safe Browsing Social Engineering detection
Instant-publish hosting subdomain of unknown creation date (vercel.app) with no reputation (unranked in Cisco Umbrella)
Self-declared clone of a well-known brand
Domain age information unavailable

Details

Page Title

Create Next App

Scan Type

public

Domain Name Analysis

You're looking at domain 'airbnb-app-sepia.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'airbnb-app-sepia'. The core label 'vercel' covers 6 characters containing 2 vowels alongside four consonants. Segmentation suggests two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.00s
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
1064.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
8216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
864.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
8185.15.59.240United States
AS14907Wikimedia Foundation Inc.
344--

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:8441bbac2cf3ba65
Difference Hash:48c4c8c4e63a4e2a
Wavelet Hash:ff180010109fff9f
Color Hash:#784f3a

Other Hashes

Crop Resistant:48c4c8c4e63a4e2a

Scan History

Scan history not available

Unable to load historical scan data