Summary
This website contacted 93 IPs in 2 countries across 14 domains to perform 58 HTTP transactions. The main domain is townofsigelwoodwi.gov and was registered NaN years ago.
Submitted URL: https://townofsigelwoodwi.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate municipal website with no security concerns.
Safety Factors
Details
Page Title
Town of Sigel
Scan Type
public
Language
English
Category
government
(95%)Domain Information
The domain 'townofsigelwoodwi.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. The core label 'townofsigelwoodwi' covers 17 characters split between 7 vowels and 10 consonants. Word splitting yields five words: town, of, sigel, wood, wi. The median word length lands at 4 characters. 'town' is most common in Chinese (Pinyin) usage. Secondary signals appear in English and Dutch. Net impression: Chinese (Pinyin) phrase.
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 |
|---|---|---|---|
| 58 | 37.19.194.81 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 0 | 142.250.185.251 | United States | AS15169GOOGLE |
| 0 | 151.101.2.137 | San Francisco, California, United States | AS54113FASTLY |
| 0 | 172.67.162.22 | United States | AS13335CLOUDFLARENET |
| 0 | 142.250.184.243 | United States | AS15169GOOGLE |
| 0 | 172.64.153.55 | United States | AS13335CLOUDFLARENET |
| 0 | 100.20.69.129 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 0 | 195.181.170.18 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 0 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 0 | 142.250.186.170 | United States | AS15169GOOGLE |
| 58 | 93 | - | - |
Detected Technologies13
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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