ScanMalware.com

Security Scan Report: join.booking.com

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Submitted: Oct 14, 2025, 2:36:52 PMCompleted: Oct 14, 2025, 2:38:57 PMpubliccompleted
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Summary

This website contacted 36 IPs in 1 country across 10 domains to perform 59 HTTP transactions. The main domain is join.booking.com and was registered NaN years ago.

Submitted URL: https://join.booking.com/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page appears to be a legitimate Booking.com partner sign‑up page with no security concerns.

Safety Factors
Official brand subdomain (join.booking.com)
Established domain with long registration history
Clear branding consistent with Booking.com
Domain age information unavailable

Details

Page Title

List Your Apartment, Hotel, Vacation Home, or B&B on Booking.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(75%)

Domain Information

Within the commercial generic top-level domain (.com), 'join.booking.com' is registered, featuring subdomain 'join'. Count 7 characters in 'booking' split between three vowels and 4 consonants. Tokenizing the label suggests one word: booking. The median word length lands at 7 characters. The linguistic tilt is Tagalog for 'booking'. It also appears in English and Indonesian contexts.

Screenshot

Security scan screenshot of https://join.booking.com/

Page Load Overview

57.80s
Total Load Time
59
HTTP Requests
10
Domains
163 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-us
Text Length:4,984 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking75% confidence
Type: spa
Method: ml+structural

All Detected Categories

finance banking
75%
travel tourism
71%
download file sharing
70%
technology software
70%
e-commerce shopping
68%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2418.245.60.2United States
AS16509AMAZON-02
118.245.31.18United States
AS16509AMAZON-02
118.245.31.129United States
AS16509AMAZON-02
199.84.152.80United States
AS16509AMAZON-02
118.66.147.121United States
AS16509AMAZON-02
118.66.147.125United States
AS16509AMAZON-02
1172.64.155.119United States
AS13335CLOUDFLARENET
1104.18.86.42United States
AS13335CLOUDFLARENET
118.66.147.3United States
AS16509AMAZON-02
199.84.152.98United States
AS16509AMAZON-02
5936--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T170B30936F10A243F022787D4F4765F7CB2AB951D9AC28866CBBC1F7417C6D57AA0282D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:TEuax7c5zLGb67arGcGUaGKGzDGYG31GUGwGbGmGRGhb12r+gB1Ds003yvUTs5/0:TE/Sm+Ib7CYkRbQ/Z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:110634:oEQAMhEUCFA30DJKG1FEwUN0TD3gpif3QkAgrsiKQCuBEgNkAhIEpPNwKAlEQYqGRgQUIaAAiQCIAAwmIASgLuBEEBaigICH

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:0004040404ffffff
Perceptual Hash:9212eded4c61ec69
Difference Hash:cdcccccc1d242a22
Wavelet Hash:000404042fffffff
Color Hash:#c1e06c

Other Hashes

Crop Resistant:cdcccccc1d242a22,da5aa2b87161989a,ccc8dcccccccec1c

Scan History

Scan history not available

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