Security Scan Report: www.townofgatesny.gov

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Submitted: Dec 7, 2025, 4:19:01 PMCompleted: Dec 7, 2025, 4:20:07 PMpubliccompleted
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Summary

This website contacted 77 IPs in 3 countries across 23 domains to perform 152 HTTP transactions. The main domain is townofgatesny.gov and was registered NaN years ago.

Submitted URL: https://www.townofgatesny.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official town government website
Contact information provided
Clear public service content
Domain age information unavailable

Details

Page Title

Town of Gates Rochester, NY Official Government Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(71%)

Domain Information

The domain name 'www.townofgatesny.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'www'. The core label 'townofgatesny' covers 13 characters split between four vowels and 9 consonants. It segments into four words: town, of, gates, ny. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.townofgatesny.gov/

Page Load Overview

30.29s
Total Load Time
152
HTTP Requests
23
Domains
14.9 MB
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:6,194 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service71% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
71%
government
48%
corporate
25%
news/blog
20%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7618.245.31.100United States
AS16509AMAZON-02
174.125.29.95United States
AS15169GOOGLE
1136.243.42.90Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
1142.250.186.110United States
AS15169GOOGLE
123.55.163.26Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
154.212.5.191Boardman, Oregon, United States
AS16509AMAZON-02
1216.239.32.36United States
AS15169GOOGLE
13.126.238.36Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
118.245.31.12United States
AS16509AMAZON-02
1104.20.47.8United States
AS13335CLOUDFLARENET
15277--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B484E6F15D0A323E207B96D5F18CF77DB2A3D560CB87688DA3BA1378D786E8069D1148

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:UUwjLfVnqWTVuhjVuSqpWRfW8RmLrOWJG9v2ohWnDlgD3jHsjW3Dew+qkXM44685:sVqSgXsjWCqkXM4468nCIdSz1yicpPhB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:384301:shi1AgGCZQiABFjENgxhAkgDRORIjixGsCgmUqgUiFEoxcGkUEECweRUEwgFDU6DAeq46uvBMWkxToUAJAuAkAGQKCuY6AbA

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:00fc200000ffffff
Perceptual Hash:fa42b9b639816e43
Difference Hash:352cc1d32465083b
Wavelet Hash:00fe200000ffffff
Color Hash:#3a7478

Scan History

Scan history not available

Unable to load historical scan data