Summary
This website contacted 11 IPs in 2 countries across 6 domains to perform 77 HTTP transactions. The main domain is townofluskwy.gov and was registered NaN years ago.
Submitted URL: https://townofluskwy.gov/
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate municipal website with no security concerns.
Safety Factors
Details
Page Title
Town of Lusk
Scan Type
public
Language
English
Category
government public service
(70%)Domain Information
Domain 'townofluskwy.gov' uses the United States government-restricted top-level domain (.gov). The core label 'townofluskwy' covers 12 characters with three vowels and nine consonants. Word splitting yields four words: town, of, lusk, wy. Median word length is three characters. 'town' most strongly signals English. You will also see it in Chinese (Pinyin) and Afrikaans contexts.
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 |
|---|---|---|---|
| 7 | 95.101.111.24 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 7 | 142.250.185.138 | United States | AS15169GOOGLE |
| 7 | 23.37.42.16 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 7 | 13.248.243.5 | United States | AS16509AMAZON-02 |
| 7 | 45.40.130.49 | United States | AS26496AS-26496-GO-DADDY-COM-LLC |
| 7 | 95.101.111.19 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 7 | 54.218.35.203 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 7 | 104.102.33.89 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 7 | 2a00:1450:4001:813::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 7 | 2a02:26f0:3500:2aa::228b | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 77 | 11 | - | - |
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
Scan history not available
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