Security Scan Report: mybooking-com.vercel.app

Submitted: Jul 10, 2026, 10:51:40 AMCompleted: Jul 10, 2026, 10:52:50 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is mybooking-com.vercel.app and was registered NaN years ago.

Submitted URL: https://mybooking-com.vercel.app/login

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

The site mimics Booking.com but lacks login forms; brand impersonation on an unranked, unknown‑age subdomain warrants moderate risk.

Risk Factors
Brand impersonation on mismatched domain
Unranked / low‑reputation subdomain
Unknown creation date of the subdomain
Domain age information unavailable

Details

Page Title

Booking.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(65%)

Domain Information

The domain name 'mybooking-com.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'mybooking-com'. The registrable portion 'vercel' spans 6 characters split between two vowels and 4 consonants. Splitting it apart reveals 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://mybooking-com.vercel.app/login

Page Load Overview

0.89s
Total Load Time
5
HTTP Requests
2
Domains
1 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:346 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software65% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
65%
documentation technical
29%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5216.198.79.195United States
AS16509Amazon.com, Inc.
51--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1752219346A81384D8557830EFC309714933B5B9DF9DE80AC6EFC8E62D2CB6705D6A9C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:jQhEzLdy/F6Y3q+NM51RQFYH+b2wQIhc3p2:jLvd6l3tNYUe42Zv3E

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10156:wCsBiShgIDjxvhHgUMACSGBDASkQRyMAADQBAQ6YApxkqsljdiARQUEFQJFEEMWIIpAgVOAyB4TXIhJWmAB54u0xwOiIiYJG

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:00ffc7e7ffffffff
Perceptual Hash:b371594d4d66664c
Difference Hash:9e000c0c080c0800
Wavelet Hash:000303030303273f
Color Hash:#864a2d

Other Hashes

Scan History

Scan history not available

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