Security Scan Report: www.misssite.com

Redirected to: https://misssite.com/

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Submitted: Dec 3, 2025, 7:15:31 AMCompleted: Dec 3, 2025, 7:17:28 AMpubliccompleted
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Summary

This website contacted 132 IPs in 3 countries across 22 domains to perform 109 HTTP transactions. The main domain is misssite.com and was registered NaN years ago.

Submitted URL: https://www.misssite.com/

Effective URL: https://misssite.com/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site offering a free website builder; no security concerns detected.

Safety Factors
Well‑established domain
No malicious Indicators of Compromise
No forms collecting sensitive data
No external malicious links
Domain age information unavailable

Details

Page Title

Create your own free professional website in just 5 minutes with Miss Site

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(36%)

Domain Information

The domain name 'www.misssite.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. Count 8 characters in 'misssite' holding three vowels versus five consonants. Word splitting yields 2 words: miss, site. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.misssite.com/

Page Load Overview

2.94s
Total Load Time
109
HTTP Requests
22
Domains
3.5 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-US
Text Length:2,334 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping36% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
36%
entertainment media
33%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10954.158.135.235Ashburn, Virginia, United States
AS14618AMAZON-AES
6237.72.136.11St Louis, Missouri, United States
AS7393CYBERCON
103.174.46.92United States
AS16509AMAZON-02
8142.250.186.142United States
AS15169GOOGLE
33.225.9.117Ashburn, Virginia, United States
AS14618AMAZON-AES
3142.250.185.99United States
AS15169GOOGLE
2104.16.175.226United States
AS13335CLOUDFLARENET
2172.217.23.118United States
AS15169GOOGLE
2142.250.184.195United States
AS15169GOOGLE
2142.250.185.234United States
AS15169GOOGLE
109132--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15B33EA939D81211BA6238295ADA4F60CA5D6A10BDE338D59F1BCC19C8FC7FCF1576388

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:G9/U68wWlPa/eMe4osE9oKfF/VV4rBQh+DZ2zhGQqfpyQ1b:GUwJrNosE9oKfF/VmB8+DZjfpyQ1b

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:53118:RBEBQELDKLSkiAV6RhlhDASESMkQQmiNCwYQJEJABIBhAgAqcK1MThAGCAySoICikH8gmDywDIoiCoSUhNFkgRgJ8IwAwRQI

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:ffffffef00180000
Perceptual Hash:8bb75c08357b6a70
Difference Hash:8dc0494bcbf1e327
Wavelet Hash:ffffffef00100000
Color Hash:#3ad22d

Scan History

Scan history not available

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