Security Scan Report: townofcaton.gov

Site favicon
Submitted: Oct 18, 2025, 7:27:18 PMCompleted: Oct 18, 2025, 7:28:13 PMpubliccompleted
Loading additional data...

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 https://townofcaton.gov/

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--

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