Security Scan Report: airbnb-demo-delta.vercel.app

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Submitted: Sep 10, 2026, 1:45:13 AMCompleted: Sep 10, 2026, 1:46:34 AMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site mimics Airbnb branding without collecting credentials; treat as moderate risk due to impersonation and unknown age.

Risk Factors
Brand impersonation on a non‑official domain
Unranked / unknown‑age domain
Hosted on a generic subdomain platform
Safety Factors
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

Airbnb

Scan Type

public

Domain Name Analysis

You're looking at domain 'airbnb-demo-delta.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'airbnb-demo-delta'. Count 6 characters in 'vercel' containing two vowels alongside 4 consonants. Word splitting yields 2 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://airbnb-demo-delta.vercel.app/

Page Load Overview

2.25s
Total Load Time
495 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Text Length:740 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media57% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
57%
social media network
38%
news media journalism
26%
technology software
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
964.29.17.131United States
AS16509Amazon.com, Inc.
9216.198.79.67United States
AS16509Amazon.com, Inc.
964.29.17.67United States
AS16509Amazon.com, Inc.
273--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E6E240B09B80AC579C27F94AF28587CC901A050BFBC99BD9F558CE9417DF8FB5D006A2

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:+JWmzsw4Sue2DgoUjv/dBxBSKhp91j/XnoYNyA0sWCyqP1NylZhfrDDsUNuOKKcN:nnA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:32662:DlYBCXS0kgsQgjnUtURDADCVbqgxOjKz0CBSEP0YeQQAREKQJhBDkBihECBCUQEIGVsGAZQgAzyEJhLo6CAUAAR/qG4Lhohg

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:ff003c3c3c18ffff
Perceptual Hash:9a63e51ce6c0c1e7
Difference Hash:4439f9e9f1b1b108
Wavelet Hash:ff003c3c1c181cff
Color Hash:#902dd2

Scan History

Scan history not available

Unable to load historical scan data