Summary
This website contacted 19 IPs in 2 countries across 17 domains to perform 103 HTTP transactions. The main domain is stlouiscountymn.gov and was registered NaN years ago.
Submitted URL: https://www.stlouiscountymn.gov/
The Cisco Umbrella rank of the primary domain is #517,403 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate St. Louis County website with no security concerns.
Safety Factors
Details
Page Title
St. Louis County MN
Scan Type
public
Language
English
Category
government public service
(57%)Domain Information
The domain 'www.stlouiscountymn.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'www'. The core label 'stlouiscountymn' covers 15 characters split between five vowels and ten consonants. Word splitting yields four words: st, louis, county, mn. Average segment length settles at 3.5 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 |
|---|---|---|---|
| 13 | 23.36.162.78 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 142.250.185.74 | United States | AS15169GOOGLE |
| 5 | 142.250.184.202 | United States | AS15169GOOGLE |
| 5 | 207.171.103.94 | Duluth, Minnesota, United States | AS1998STATE-OF-MN |
| 5 | 142.251.140.174 | United States | AS15169GOOGLE |
| 5 | 34.8.249.37 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 5 | 23.45.104.219 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 5 | 216.239.32.36 | United States | AS15169GOOGLE |
| 5 | 23.36.162.76 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 18.66.147.58 | United States | AS16509AMAZON-02 |
| 103 | 19 | - | - |
Detected Technologies3
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
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