Security Scan Report: www.weeviews.com

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Submitted: Oct 11, 2025, 2:46:51 PMCompleted: Oct 11, 2025, 2:48:53 PMpubliccompleted
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Summary

This website contacted 62 IPs in 3 countries across 19 domains to perform 91 HTTP transactions. The main domain is weeviews.com and was registered NaN years ago.

Submitted URL: https://www.weeviews.com/reviews/3775/queen-bee-half-marathon-2024

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain with long registration history
Clean threat intelligence profile
Standard informational content without data harvesting
Domain age information unavailable

Details

Page Title

Queen Bee Half Marathon - 2024 Review

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

corporate

(50%)

Domain Information

The domain name 'www.weeviews.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The registrable portion 'weeviews' spans 8 characters containing 4 vowels alongside four consonants. Breaking it apart gives 2 words: wee, views. Average segment length settles at 4 characters. 'wee' most strongly signals English. You will also see it in Chinese (Pinyin) and Indonesian contexts.

Screenshot

Security scan screenshot of https://www.weeviews.com/reviews/3775/queen-bee-half-marathon-2024

Page Load Overview

71.69s
Total Load Time
91
HTTP Requests
19
Domains
5.5 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:7,639 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: static
Method: structural

All Detected Categories

corporate
50%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
30104.18.40.68United States
AS13335CLOUDFLARENET
120.250.198.32Zurich, Zurich, Switzerland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1104.16.78.6United States
AS13335CLOUDFLARENET
1172.67.197.50United States
AS13335CLOUDFLARENET
1172.64.147.188United States
AS13335CLOUDFLARENET
1142.250.181.232United States
AS15169GOOGLE
12.19.224.32Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
1157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
1104.21.58.14United States
AS13335CLOUDFLARENET
1216.239.34.36United States
AS15169GOOGLE
9162--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T166A395B2229106EFC483C7F17AB26AA7A0A4955FF7538448FB8D835F9F48CA38C35551

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:QrhBwtVBCghI7Zb37Zb37Zb37Zb37Zb37Zb37Zb37Zb37Zb37Zb37Zb4GQVKT:Qr+JVKT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:106594:1RRjKBQCQCQACjCIFEDnKURfI0BwHbAj8JACAAq2DUgIeAHEASAADQ8DnQgVJQAFgPWCI8yMxqopDEAEhIAAIASAHykBylOU

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:001c3c343c3c0000
Perceptual Hash:ce92394d6c79c392
Difference Hash:b369696d69693313
Wavelet Hash:183e3c3cbdbd8981
Color Hash:#1f2593

Scan History

Scan history not available

Unable to load historical scan data