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Security Scan Report: airbnbyt.vercel.app

Redirected to:
https://airbnbyt.vercel.app/
Site favicon
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/60f5216a-6ce8-4b97-bbfd-dce3d0b0bdd3Domain and IP registration (RDAP)/api/v1/rdap/60f5216a-6ce8-4b97-bbfd-dce3d0b0bdd3How often this domain was scanned/api/v1/domain/stats/airbnbyt.vercel.appScan history for this domain/api/v1/domain/history/airbnbyt.vercel.app?limit=15
This website contacted 4 IPs in 2 countries across 2 domains to perform 30 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://airbnbyt.vercel.app/

Effective URL:
https://airbnbyt.vercel.app/
Redirected

AI Security Verdict

Moderate Risk

Confidence: 62%

5
Risk Score

Unrelated domain reproduces Airbnb's homepage branding without authorization. No forms or malware observed, but brand impersonation plus unknown-age free hosting warrants caution.

Risk Factors (3)
Impersonation of the Airbnb brand on a domain Airbnb does not operate
Unknown-age subdomain on a free hosting platform where anyone can publish
IDS notes the host domain is a commonly actor-abused cloud hosting service
Safety Factors (4)
No credential, password or payment fields; no forms at all, so no data capture observed
No Indicators of Compromise matched against the page or its resources
No JavaScript malware patterns or obfuscated behavior detected
No cross-origin credential exfiltration
Domain age information unavailable

Details

Page Title

Airbnb

Scan Type

public

Domain Name Analysis

You're looking at domain 'airbnbyt.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'airbnbyt'. The second-level label 'vercel' is 6 characters long with two vowels and 4 consonants. It segments into 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Not sure where to go? Perfect. I'm flexible ha Explore Nearby London Manchester Liverpool York 45-minute drive 4.5-hour drive 4.5-hour drive 4-hour drive

Page Load Overview

2.00s
Total Load Time
825 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Text Length:657 chars
Detector Agreement:100%

Website Classification

Primary Category

travel tourism42% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

travel tourism
42%
adult content
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
799.81.151.149Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
764.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
7216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
304--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FA13CDF0A780AC83A867B94AF245C7CCD01A1519BBC8A7E5F548CE8817DF4FB1D506A7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Sz0TmJyVsw4Sue2rsw4Sue2DRU7mjv/dBxBGjv/dBxBS0NSgp91j/XnMp91j/Xn1:Qa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:44928:JQBF0LhEHEIejgjQEIwi4kUiEAAoEhoJAoOc6z6ERYUYTpWAB3CEI4RsRIAsWksAUFwYpJEiLUoAighxiTgAbBScpiEYBUSD

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:ff003c3c3c189fff
Perceptual Hash:9a63e51ce6c0c1e7
Difference Hash:4439f9e9f1b1b108
Wavelet Hash:ff003c3c1c181cff
Color Hash:N/A

Other Hashes

Crop Resistant:4439f9e9f1b1b108,8940cc0a4c88e884,66e6981edafc308e,7939f9e9e971b1b0

Scan History

Scan history not available

Unable to load historical scan data