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Security Scan Report: bellevillesens.com

Submitted: Jan 5, 2026, 5:30:47 AMCompleted: Jan 5, 2026, 5:32:24 AMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/337baf05-0a89-45f8-9f75-ba1392c8a634Domain and IP registration (RDAP)/api/v1/rdap/337baf05-0a89-45f8-9f75-ba1392c8a634Certificate Transparency/api/v1/ct/bellevillesens.comHow often this domain was scanned/api/v1/domain/stats/bellevillesens.comScan history for this domain/api/v1/domain/history/bellevillesens.com?limit=15

This website contacted 15 IPs in 2 countries across 13 domains to perform 51 HTTP transactions. The main domain is bellevillesens.com and was registered 10 years ago.

Submitted URL: https://bellevillesens.com/bsen-qa-world-juniors-memories-w-jorian-donovan-and-tomas-hamara/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors (3)
Established domain with long registration history
No suspicious forms or data collection
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

BSEN Q&A – World Juniors Memories w/ Jorian Donovan and Tomas Hamara – Belleville Sens

Scan Type

public

Domain Name Analysis

The domain name 'bellevillesens.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The second-level label 'bellevillesens' is 14 characters long with five vowels and nine consonants. Splitting it apart reveals two words: belleville, sens. Average segment length settles at 7 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bellevillesens.com/bsen-qa-world-juniors-memories-w-jorian-donovan-and-tomas-hamara/

Page Load Overview

2.92s
Total Load Time
2.0 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:11,333 chars
Detector Agreement:75%

Website Classification

Primary Category

social media network89% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
89%
news/blog
50%
forum community discussion
46%
corporate
35%
healthcare medical
35%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9142.250.185.99United States
AS15169GOOGLE
366.102.1.155Finland
AS54113FASTLY
3172.66.171.172United States
AS13335CLOUDFLARENET
3104.20.20.192United States
AS13335CLOUDFLARENET
3184.24.77.156Unknown
AS13335CLOUDFLARENET
323.185.0.2United States
AS54113FASTLY
3162.247.243.39United States
AS54113FASTLY
3184.24.77.154UnknownUnknown
3216.239.32.36United States
AS15169GOOGLE
3184.24.77.146UnknownUnknown
5115--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EE546CF2D2205475C6934BD170993E2871323436A9E089A4F37D95D89FE2EEB2271F2C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:3a4qa480vElDhOB7FjIrpkskwxZnNLTwxRJjLnmSTF3e9YdcmIstM:wclDh6cpkskSRwxU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:291461:WBlpCCD8mShgmFJVBRioj0ggSiYEY5hggyQUAQbBYASIoidwiUgHIWGBQUICPKFMBBCA8gAwopIycnAI+BMBwDAgk0o4yBYR

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:00003c7c7c7e7e7e
Perceptual Hash:903f3c3ccb64936c
Difference Hash:d4d4dcccecd4d4d4
Wavelet Hash:00007c467e7e7e7e
Color Hash:#c5a787

Other Hashes

Crop Resistant:cbcbe0cbc8c8c8c7,35456d5d33233725,d4d4dcccecd4d4d4,4a56e6cb3b313137,c9ccc849a9e5e5b1

Scan History

Scan history not available

Unable to load historical scan data