Security Scan Report: airbnbyt.vercel.app

Redirected to:
https://airbnbyt.vercel.app/
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Submitted: Completed: publiccompleted
This website contacted 5 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

High Risk

Confidence: 78%

8
Risk Score

Unauthorized Airbnb look-alike on a free vercel.app subdomain with a deceptive 'airbnbyt' hostname, a single-source phishing report and no affiliation with Airbnb. No forms yet, but treat as brand impersonation.

Risk Factors (5)
Impersonation of a different entity's brand (Airbnb) on a mismatched domain
Typosquat-style hostname combining the brand name with an extra character on a shared hosting platform
Single-source phishing threat-intelligence report on the primary domain
Unknown subdomain creation date behind the vercel.app platform apex
Unranked domain (no Cisco Umbrella reputation) while claiming a top-10K brand identity
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), featuring subdomain 'airbnbyt'. The registrable portion 'vercel' spans 6 characters split between 2 vowels and 4 consonants. Segmentation suggests two words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Star you! Explore Nearby London 45-minute drive earch Not sure where to go? Perfect. I'm flexible Manchester Liverpool 4.5-hour drive 4.5-hour drive York 4-hour drive Become ahost @ (= @)

Page Load Overview

0.65s
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
2764.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
664.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
652.30.103.197Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
6216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
652.19.23.74Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
305--

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:06219000000

Scan History

Scan history not available

Unable to load historical scan data