Summary
This website contacted 28 IPs in 3 countries across 28 domains to perform 196 HTTP transactions. The main domain is mackinacisland.org and was registered NaN years ago.
Submitted URL: https://www.mackinacisland.org/blog/post/bridge-to-mackinac-island-how-it-almost-got-built/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate informational page about the Mackinac Bridge.
Safety Factors
Details
Page Title
Mackinac Bridge – Mackinac Island
Scan Type
public
Language
English
Category
entertainment media
(55%)Domain Information
The domain name 'www.mackinacisland.org' uses the non-profit oriented generic top-level domain (.org) and includes subdomain 'www'. The second-level label 'mackinacisland' is 14 characters long with five vowels and 9 consonants. Splitting it apart reveals two words: mackinac, island. Median word length is seven characters. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 139 | 23.50.131.147 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 7 | 216.239.32.36 | United States | AS15169GOOGLE |
| 7 | 216.239.34.36 | United States | AS15169GOOGLE |
| 7 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 6 | 142.250.186.104 | United States | AS15169GOOGLE |
| 6 | 104.18.0.22 | United States | AS13335CLOUDFLARENET |
| 6 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 5 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 5 | 142.250.185.131 | United States | AS15169GOOGLE |
| 4 | 172.66.136.7 | United States | AS13335CLOUDFLARENET |
| 0 | 28 | - | - |
Detected Technologies4
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
Other Hashes
Scan History
Scan history not available
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