Summary
This website contacted 12 IPs in 2 countries across 7 domains to perform 64 HTTP transactions. The main domain is barrytownshipmn.gov and was registered NaN years ago.
Submitted URL: https://barrytownshipmn.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate local government site with no security concerns.
Safety Factors
Details
Page Title
N/A
Scan Type
public
Language
English
Category
government
(48%)Domain Information
The domain name 'barrytownshipmn.gov' uses the United States government-restricted top-level domain (.gov). The registrable portion 'barrytownshipmn' spans 15 characters containing three vowels alongside twelve consonants. Tokenizing the label suggests 3 words: barry, township, mn. Expect 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 |
|---|---|---|---|
| 47 | 160.153.0.135 | United States | AS209242Cloudflare London, LLC |
| 5 | 23.207.210.143 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 23.207.210.148 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 2a02:26f0:3500:2aa::228b | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 2a00:1450:4001:831::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 5 | 2a00:1450:4001:80e::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 5 | 2a02:26f0:3500:2ba::228b | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 142.250.184.227 | United States | AS15169GOOGLE |
| 3 | 23.37.42.16 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 2 | 95.100.110.3 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 64 | 12 | - | - |
Detected Technologies6
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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