Summary
This website contacted 35 IPs in 1 country across 9 domains to perform 152 HTTP transactions. The main domain is muskingumdd.org.
Submitted URL: https://www.muskingumdd.org/
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate site with no apparent security concerns.
Safety Factors
Details
Page Title
Home | MCBDD
Scan Type
public
Language
English
Category
corporate
(50%)Domain Information
Domain 'www.muskingumdd.org' uses the non-profit oriented generic top-level domain (.org); it also runs on subdomain 'www'. The core label 'muskingumdd' covers 11 characters holding 3 vowels versus eight consonants. Word splitting yields two words: muskingum, dd. The median word length lands at 5.5 characters. The linguistic tilt is English for 'dd'. It also appears in Bulgarian and Danish contexts. Overall, 'www.muskingumdd.org' reads as English.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 16 | 34.149.87.45 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 4 | 151.101.194.217 | San Francisco, California, United States | AS54113FASTLY |
| 4 | 34.149.206.255 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 4 | 151.101.2.217 | San Francisco, California, United States | AS54113FASTLY |
| 4 | 18.209.154.115 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 151.101.66.217 | San Francisco, California, United States | AS54113FASTLY |
| 4 | 3.167.227.32 | United States | AS16509AMAZON-02 |
| 4 | 98.88.208.241 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 172.66.144.196 | United States | AS13335CLOUDFLARENET |
| 4 | 3.167.227.108 | United States | AS16509AMAZON-02 |
| 152 | 35 | - | - |
Detected Technologies8
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Scan History
Scan history not available
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