Summary
This website contacted 10 IPs in 2 countries across 3 domains to perform 32 HTTP transactions. The main domain is townofcohoctonny.gov and was registered NaN years ago.
Submitted URL: https://townofcohoctonny.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government site with no security concerns.
Safety Factors
Details
Page Title
Town of Cohocton - Town of Cohocton, NY
Scan Type
public
Language
English
Category
government
(95%)Domain Information
You're looking at domain 'townofcohoctonny.gov' on the United States government-restricted top-level domain (.gov) with no subdomain. The core label 'townofcohoctonny' covers 16 characters with 5 vowels and 11 consonants. Segmentation suggests six words: town, of, co, hoc, ton, ny. Expect 2.5 characters per word on average. Most frequently, 'town' shows up in Czech. Usage also turns up in Polish and Chinese (Pinyin) contexts. Net impression: Czech 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 |
|---|---|---|---|
| 5 | 23.213.161.203 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 23.213.161.198 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 151.101.193.229 | San Francisco, California, United States | AS54113FASTLY |
| 3 | 23.101.118.145 | Des Moines, Iowa, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 2606:4700::6810:afe2 | United States | AS13335CLOUDFLARENET |
| 3 | 104.16.174.226 | United States | AS13335CLOUDFLARENET |
| 3 | 2606:4700::6810:aee2 | United States | AS13335CLOUDFLARENET |
| 3 | 104.16.175.226 | United States | AS13335CLOUDFLARENET |
| 3 | 2a02:26f0:3500:18::1724:a28a | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 2a02:26f0:3500:18::1724:a298 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 32 | 10 | - | - |
Detected Technologies5
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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