Security Scan Report: townofcohoctonny.gov

Submitted: Oct 2, 2025, 12:32:05 PMCompleted: Oct 2, 2025, 12:32:57 PMpubliccompleted
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Summary

This website contacted 14 IPs in 2 countries across 3 domains to perform 30 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: 92%

1
Risk Score

The site appears to be a legitimate municipal website with minimal risk.

Safety Factors
.gov top‑level domain indicates government ownership
Standard hosting with no suspicious redirects
No external links or embedded resources flagged as malicious
Domain age information unavailable

Details

Page Title

Town of Cohocton - Town of Cohocton, NY

Scan Type

public

Language

🇺🇸

English

(80% confidence)

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 second-level label 'townofcohoctonny' is 16 characters long split between 5 vowels and 11 consonants. Splitting it apart reveals six words: town, of, co, hoc, ton, ny. The median word length lands at 2.5 characters. The linguistic tilt is Czech for 'town'. You may catch it in Polish and Chinese (Pinyin) as well.

Screenshot

Security scan screenshot of https://townofcohoctonny.gov/

Page Load Overview

22.05s
Total Load Time
30
HTTP Requests
3
Domains
396 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:1,633 chars
Detector Agreement:100%

Website Classification

Primary Category

government95% confidence
Type: dynamic
Method: structural

All Detected Categories

government
95%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4151.101.129.229San Francisco, California, United States
AS54113FASTLY
2151.101.193.229San Francisco, California, United States
AS54113FASTLY
223.50.131.157Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
223.101.118.145Des Moines, Iowa, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2151.101.1.229San Francisco, California, United States
AS54113FASTLY
22a04:4e42::485GermanyUnknown
2151.101.65.229GermanyUnknown
223.36.162.197GermanyUnknown
22a02:26f0:3500:18::1724:a28aGermanyUnknown
223.36.162.203GermanyUnknown
3014--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1649329016576283B826B05993EFF7B4A22F59043E1499C15FA9CCE041FC6EE82EF175E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:T0jrI71jAGx4oC4o0LDb3aoDrSdVVYr6uqgwoIUSX8xPmS+iaPvjG8uPI:w/Q14sZzDrYVVYpOPvR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:91673:CEUBICCmihxwyBokcJBAPNwPgBBQUyqRlIoABESICohLRhg6hBUAEZXTKbgYmMMCzgkMCOBFBhAIAhCQCxVh+ZA1KGQgwTj4

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

Average Hash:00c18100ffffffff
Perceptual Hash:e969e1961212f3d3
Difference Hash:07030b3330222723
Wavelet Hash:0081810096ffffff
Color Hash:#74ac53

Scan History

Scan history not available

Unable to load historical scan data