Summary
This website contacted 81 IPs in 4 countries across 32 domains to perform 221 HTTP transactions. The main domain is mankatomn.gov and was registered NaN years ago.
Submitted URL: https://www.mankatomn.gov/
AI Security Verdict
Low Risk
Confidence: 92%
Site appears legitimate but shows a minor redirect anomaly; monitor for changes.
Risk Factors
Safety Factors
Details
Page Title
Mankato, MN | Home
Scan Type
public
Language
English
Category
government
(95%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'www.mankatomn.gov' is registered, featuring subdomain 'www'. The core label 'mankatomn' covers 9 characters with three vowels and 6 consonants. Breaking it apart gives two words: mankato, mn. Median word length comes out to 4.5 characters. 'mn' most strongly signals Breton. You may catch it in French and German as well. Taken together, it feels Breton.
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 |
|---|---|---|---|
| 2 | 157.240.253.1 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 104.20.36.228 | United States | AS13335CLOUDFLARENET |
| 2 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 13.32.27.70 | New York, New York, United States | AS16509AMAZON-02 |
| 2 | 142.251.140.168 | United States | AS15169GOOGLE |
| 2 | 57.144.248.192 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 23.50.131.153 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 157.240.253.63 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 69.192.160.133 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 2 | 34.107.203.234 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 221 | 81 | - | - |
Detected Technologies10
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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