Summary
This website contacted 9 IPs in 2 countries across 3 domains to perform 33 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: 85%
The site shows no suspicious activity and appears to be a legitimate government page.
Safety Factors
Details
Page Title
Town of Cohocton - Town of Cohocton, NY
Scan Type
public
Language
English
Category
government
(95%)Domain Information
The domain 'townofcohoctonny.gov' uses the United States government-restricted top-level domain (.gov). The second-level label 'townofcohoctonny' is 16 characters long holding 5 vowels versus 11 consonants. It segments into six words: town, of, co, hoc, ton, ny. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 28 | 23.101.118.145 | Des Moines, Iowa, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 9 | 104.16.175.226 | United States | AS13335CLOUDFLARENET |
| 3 | 23.36.162.197 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 104.16.174.226 | United States | AS13335CLOUDFLARENET |
| 3 | 2606:4700::6810:aee2 | United States | AS13335CLOUDFLARENET |
| 3 | 2a02:26f0:7100::687e:25b1 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 2606:4700::6810:afe2 | United States | AS13335CLOUDFLARENET |
| 3 | 2a02:26f0:7100::687e:25a8 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 23.36.162.203 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 33 | 9 | - | - |
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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