Summary
This website contacted 28 IPs in 2 countries across 7 domains to perform 92 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: 93%
Legitimate local government site with no apparent security threats.
Safety Factors
Details
Page Title
Dover Township
Scan Type
public
Language
English
Category
government
(48%)Domain Information
The domain 'www.dovertwp-otsegomi.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. The second-level label 'dovertwp-otsegomi' is 17 characters long split between 6 vowels and ten consonants; bonus characters include 1 hyphen. It segments into 5 words: dover, t, wp, otsego, mi. Median word length comes out to 2 characters. Most frequently, 't' shows up in Esperanto. You may catch it in Turkish and Bosnian as well.
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 |
|---|---|---|---|
| 11 | 172.217.18.3 | United States | AS15169GOOGLE |
| 3 | 185.111.111.155 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 3 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 3 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 3 | 172.67.75.33 | United States | AS13335CLOUDFLARENET |
| 3 | 151.101.66.137 | San Francisco, California, United States | AS54113FASTLY |
| 3 | 142.250.74.202 | United States | AS15169GOOGLE |
| 3 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 3 | 2606:4700:20::ac43:4b21 | United States | AS13335CLOUDFLARENET |
| 3 | 2a00:1450:4001:812::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 92 | 28 | - | - |
Detected Technologies15
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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