Summary
This website contacted 60 IPs in 3 countries across 14 domains to perform 118 HTTP transactions. The main domain is cityofhokah-mn.gov and was registered NaN years ago.
Submitted URL: https://www.cityofhokah-mn.gov/
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate municipal site; minor redirect issue but no malicious activity detected.
Risk Factors
Safety Factors
Details
Page Title
City of Hokah
Scan Type
public
Language
English
Category
government
(48%)Domain Information
You're looking at domain 'www.cityofhokah-mn.gov' on the United States government-restricted top-level domain (.gov) with subdomain 'www'. The core label 'cityofhokah-mn' covers 14 characters holding four vowels versus nine consonants; bonus characters include one hyphen. Word splitting yields 5 words: city, of, ho, kah, mn. Median word length is 2 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 |
|---|---|---|---|
| 76 | 209.50.58.56 | Phoenix, Arizona, United States | AS25697UPCLOUDUSA |
| 15 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 10 | 37.19.194.80 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 3 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 3 | 52.42.158.180 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 2 | 142.250.185.104 | United States | AS15169GOOGLE |
| 2 | 23.32.238.210 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 142.250.186.46 | United States | AS15169GOOGLE |
| 1 | 172.217.18.3 | United States | AS15169GOOGLE |
| 1 | 184.24.77.154 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 118 | 60 | - | - |
Detected Technologies5
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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