Security Scan Report: town.williamson.ny.us

Submitted: Oct 12, 2025, 1:17:28 PMCompleted: Oct 12, 2025, 1:18:49 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 58 HTTP transactions. The main domain is town.williamson.ny.us and was registered NaN years ago.

Submitted URL: https://town.williamson.ny.us/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Established government domain
Long domain age indicating legitimacy
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

town.williamson.ny.us

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(64%)

Domain Information

Domain 'town.williamson.ny.us' uses the United States country-code top-level domain (.ny.us); it also runs on subdomain 'town'. The second-level label 'williamson' is 10 characters long holding 4 vowels versus six consonants. It segments into 1 word: williamson. The linguistic tilt is Catalan for 'williamson'. You will also see it in Danish and German contexts.

Screenshot

Security scan screenshot of https://town.williamson.ny.us/

Page Load Overview

48.82s
Total Load Time
58
HTTP Requests
4
Domains
4.3 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:4,213 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service64% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
64%
documentation technical
26%
corporate
25%
news/blog
20%

Detected Features

Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14151.101.2.159San Francisco, California, United States
AS54113FASTLY
14192.0.76.3San Francisco, California, United States
AS2635AUTOMATTIC
14142.250.185.99United States
AS15169GOOGLE
142a00:1450:4001:811::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
584--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14364D69FEB3231B87247E344BDE5A72896FC8217DA0218D6FDB9E6549BC3213017216D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:PDSiBJXSQ3fucSH54skc2XVeIUjnEgIPXq4k/e+8w8mGwYg4/eKfYQVJrGnm20gk:PDSiBJXSQ3fucSH54skc2XVeIUjnEgIf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:306566:gBgwDOGoCAiEAoAmABIKgoyhCBaAiSokBGDgCYiFMkBIKSICFNkToOGGoIKAoN9IHoM9CaIECAAgUAjDUTEQTAEQTUIkVCQZ

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:ffffe7dfc3c3e7ff
Perceptual Hash:b1cece31998e30cb
Difference Hash:a08e8e969e9e8eb0
Wavelet Hash:ff46c3424243c37e
Color Hash:#2d77d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data