Summary
This website contacted 31 IPs in 2 countries across 7 domains to perform 90 HTTP transactions. The main domain is dovertwp-otsegomi.gov and was registered NaN years ago.
Submitted URL: https://www.dovertwp-otsegomi.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Dover Township
Scan Type
public
Language
English
Category
government public service
(62%)Domain Information
You're looking at domain 'www.dovertwp-otsegomi.gov' on the United States government-restricted top-level domain (.gov) with subdomain 'www'. The second-level label 'dovertwp-otsegomi' is 17 characters long containing 6 vowels alongside 10 consonants; bonus characters include one hyphen. It segments into five words: dover, t, wp, otsego, mi. Average segment length settles at 2 characters. 't' most strongly signals Esperanto. Usage also turns up in Turkish and Bosnian 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 |
|---|---|---|---|
| 30 | 172.67.75.33 | United States | AS13335CLOUDFLARENET |
| 2 | 185.111.111.155 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 2 | 151.101.130.137 | San Francisco, California, United States | AS54113FASTLY |
| 2 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 2 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 2 | 142.250.185.106 | United States | AS15169GOOGLE |
| 2 | 142.250.186.131 | United States | AS15169GOOGLE |
| 2 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 2 | 2606:4700:20::681a:87b | United States | Unknown |
| 2 | 2a04:4e42:200::649 | United States | Unknown |
| 90 | 31 | - | - |
Detected Technologies16
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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