Security Scan Report: www.beaches.com

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Submitted: Aug 6, 2026, 11:37:44 AMCompleted: Aug 6, 2026, 11:38:29 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 beaches.com and was registered NaN years ago.

Submitted URL: https://www.beaches.com/blog/jamaica-independence-day/

The Cisco Umbrella rank of the primary domain is #368,957 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page is a legitimate blog article from the official Beaches brand with no malicious activity.

Safety Factors
Established domain with long registration history
Self‑branding aligns with domain
No malicious scripts or external threats detected
No redirects to suspicious domains
Domain age information unavailable

Details

Page Title

Celebrate the Best of Jamaica Independence Day | BEACHES

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(40%)

Domain Information

The domain name 'www.beaches.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. The second-level label 'beaches' is 7 characters long containing 3 vowels alongside four consonants. Tokenizing the label suggests one word: beaches. Median word length is 7 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.beaches.com/blog/jamaica-independence-day/

Page Load Overview

6.75s
Total Load Time
89
HTTP Requests
8
Domains
5.2 MB
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:14,169 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog40% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
40%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
892.16.204.15Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
891--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T112841BBDAC54C52BB53748AA7A3DFD7EF19A401B871DDD6078E9700AC380AF54A32391

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:rrj7nBzy30o6d01JoBLZKBW2k+lBLZKBWD:rrBO3p6dYJgLgBW2kALgBWD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:382005:hOGwAhCjAgNABEsgByUECCEiEdNyJKCaAtAVkABIIZYM9QgwnUGAJHLAN81mBCGs6giAqCmIAAjCIQVhBAEsgIiGQC5iAgRK

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:00ffffff87000004
Perceptual Hash:b6e9126dba452a56
Difference Hash:bd270f8e2f6edcbc
Wavelet Hash:00ffffffd7000006
Color Hash:#2d4086

Scan History

Scan history not available

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