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Security Scan Report: hamptonbeach.org

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Submitted: Dec 29, 2025, 11:38:50 AMCompleted: Dec 29, 2025, 11:40:31 AMpubliccompleted
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Summary

This website contacted 9 IPs in 1 country across 9 domains to perform 170 HTTP transactions. The main domain is hamptonbeach.org and was registered NaN years ago.

Submitted URL: https://hamptonbeach.org/beach-cam/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and appears legitimate.

Safety Factors
Long‑standing domain registration
Absence of suspicious forms or redirects
Unranked status mitigated by extensive domain age
Domain age information unavailable

Details

Page Title

Beach Cam – Hampton Beach

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(63%)

Domain Information

The domain name 'hamptonbeach.org' uses the non-profit oriented generic top-level domain (.org) while skipping any subdomain. Its registrable label 'hamptonbeach' stretches across 12 characters containing four vowels alongside eight consonants. Tokenizing the label suggests 2 words: hampton, beach. Median word length comes out to 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hamptonbeach.org/beach-cam/

Page Load Overview

10.63s
Total Load Time
170
HTTP Requests
0
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-US
Text Length:3,837 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network63% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
63%
travel tourism
32%
government public service
29%
education learning
28%
entertainment media
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
136172.67.68.202UnknownUnknown
18142.250.185.78UnknownUnknown
18216.239.32.36UnknownUnknown
18157.240.0.35UnknownUnknown
631.13.66.19UnknownUnknown
5104.18.10.207UnknownUnknown
4138.199.218.103UnknownUnknown
1104.18.37.6United States
AS13335CLOUDFLARENET
1142.250.186.104United States
AS15169GOOGLE
09--

Detected Technologies10

WordPress
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Google-AnalyticsvUniversal
100%
PHP
50%
MySQL
50%
Google Analytics
35%
WooCommerce
20%
Slider Revolution
20%
Moment.js
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A434B6B2040AA02697935EC1739E7F29EB4EA325E240C1A4BFFC57D9DECAD1511B1B4C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:JKFqwCaXJb35TFkzYGkhNkqkfSkUjahqtWIyw6IU7++4SgDoCjxWTUm:yqwCaXJb35ZUAdf3M

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:238963:Gn6MCyqIAYAGAJbIkBHSIYSYKTARRhSieIA8akgAB4UEMnBUEIKAhpYQBpQ1aYDtQEAoJIADWRTsCBfeEBOABwAomXMjpUEo

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:00ffffc3c3c3c3c3
Perceptual Hash:ed9616693c1b434b
Difference Hash:2d2a690703070307
Wavelet Hash:00dfffc3c1c1c1c3
Color Hash:#9187c5

Other Hashes

Crop Resistant:2d2a690703070307,0101052d2c0d0305,0120200000001113

Scan History

Scan history not available

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