Security Scan Report: townofcaton.gov

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Submitted: Oct 18, 2025, 7:27:18 PMCompleted: Oct 18, 2025, 7:28:13 PMpubliccompleted

Summary

This website contacted 46 IPs in 2 countries across 8 domains to perform 40 HTTP transactions. The main domain is townofcaton.gov and was registered NaN years ago.

Submitted URL: https://townofcaton.gov/

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

The site appears to be a legitimate municipal website with no evident security threats.

Safety Factors
Official .gov TLD suggests legitimate government ownership
No suspicious external links or redirects
Standard informational website with only a search form
Domain age information unavailable

Details

Page Title

Town of Caton - Corning New York

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

government

(95%)

Domain Information

The domain 'townofcaton.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. Its registrable label 'townofcaton' stretches across 11 characters split between 4 vowels and seven consonants. Segmentation suggests 3 words: town, of, caton. Average segment length settles at four characters. The linguistic tilt is Chinese (Pinyin) for 'town'. Usage also turns up in English and Dutch contexts.

Screenshot

Security scan screenshot of api.maptiler.com

Page Load Overview

21.80s
Total Load Time
40
HTTP Requests
8
Domains
426 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:5,502 chars
Detector Agreement:100%

Website Classification

Primary Category

government95% confidence
Type: dynamic
Method: structural

All Detected Categories

government
95%
corporate
50%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4013.35.58.28United States
AS16509AMAZON-02
013.35.58.68United States
AS16509AMAZON-02
052.216.49.33Ashburn, Virginia, United States
AS16509AMAZON-02
0142.250.185.99United States
AS15169GOOGLE
0142.250.185.234United States
AS15169GOOGLE
016.182.100.112Ashburn, Virginia, United States
AS16509AMAZON-02
023.21.215.178Ashburn, Virginia, United States
AS14618AMAZON-AES
016.15.195.240Ashburn, Virginia, United States
AS14618AMAZON-AES
054.231.135.168Ashburn, Virginia, United States
AS16509AMAZON-02
0104.18.1.22United States
AS13335CLOUDFLARENET
4046--

Page Statistics

40
Requests
11
Unique Domains
1.4 MB
Total Size

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T181332B92F2602037055B47D1F17836ADA4B2EBDAC6520C5872FD01B83BC7DF87A97299

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:qM1MAMGMuMjMrMvQMIyO7UVaIebzQX7g715S64oYt6cUrG/:V7ZzQX7g71pyxUrG/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:53821:GgxCRYQAkAAOAAbIz1RwECyRCJMpHMDEHBOINMJKE2gEAi0PmpUwD1UohsCQcKgEMokDJFqhgrQUhJoAAaABFAQMiL7p4CAQ

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:4e0400003c7e7e7e
Perceptual Hash:923c9494b6c9c7c7
Difference Hash:dcbcc4dcdcf0d4f4
Wavelet Hash:5e04000c7e7e7e7e
Color Hash:#c1e06c

Scan History

Scan history not available

Unable to load historical scan data