Summary
This website contacted 20 IPs in 2 countries across 18 domains to perform 86 HTTP transactions. The main domain is minneapolismn.gov and was registered NaN years ago.
Submitted URL: https://www.minneapolismn.gov/
The Cisco Umbrella rank of the primary domain is #400,038 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government website with no security concerns.
Safety Factors
Details
Page Title
City of Minneapolis
Scan Type
public
Language
English
Category
healthcare medical
(59%)Domain Information
The domain name 'www.minneapolismn.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. The core label 'minneapolismn' covers 13 characters containing five vowels alongside 8 consonants. Breaking it apart gives 2 words: minneapolis, mn. Expect 6.5 characters per word on average. 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 |
|---|---|---|---|
| 10 | 18.66.122.31 | United States | AS16509AMAZON-02 |
| 4 | 172.64.147.188 | United States | AS13335CLOUDFLARENET |
| 4 | 146.75.121.140 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 4 | 18.66.122.112 | United States | AS16509AMAZON-02 |
| 4 | 142.251.141.99 | United States | AS15169GOOGLE |
| 4 | 104.18.40.68 | United States | AS13335CLOUDFLARENET |
| 4 | 18.66.122.24 | United States | AS16509AMAZON-02 |
| 4 | 52.59.172.213 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 4 | 2.16.164.35 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 142.251.140.164 | United States | AS15169GOOGLE |
| 86 | 20 | - | - |
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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