Security Scan Report: mybooking-com.vercel.app

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Submitted: Jul 3, 2026, 9:52:08 AMCompleted: Jul 3, 2026, 9:53:45 AMpubliccompleted
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Summary

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

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

AI Security Verdict

Low Risk

Confidence: 75%

3
Risk Score

Impersonates Booking.com on a Vercel subdomain without forms; moderate risk due to brand spoofing and unknown age.

Risk Factors
Brand impersonation of a well‑known travel brand
Unknown subdomain age on a generic hosting platform
Unranked / low‑reputation domain
Safety Factors
No forms collecting credentials or payment data
No malicious JavaScript patterns or exfiltration observed
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

mybooking-com.vercel.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(83%)

Domain Information

Domain 'mybooking-com.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'mybooking-com'. Its registrable label 'vercel' stretches across 6 characters with 2 vowels and 4 consonants. Splitting it apart reveals two words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mybooking-com.vercel.app/

Page Load Overview

8.08s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:768 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software83% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
83%
documentation technical
59%
adult content
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.67United States
AS16509Amazon.com, Inc.
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B4048F77329A063986558498E05B430D9F20B143F50AC9BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:E/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsPR2bMy8OldM:1hoC9JSqzzbs6okSjggcpsJ2eAi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187951:kIWJ0YgTESpuhdOEEkpEYgKWEhzATcBARlKBEgJWCBBAoEYiRVWwQCIQIUFAIPEUC0qEiioYFSILE68BtaBWSAonACU+aMQE

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:f0d0c0c0c0f0f0f0
Color Hash:#3a5278

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data