Security Scan Report: stanfordny.gov

Site favicon
Submitted: Dec 9, 2025, 9:35:01 PMCompleted: Dec 9, 2025, 9:35:45 PMpubliccompleted

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors (2)
Established municipal government domain
Content matches expected town information
Domain age information unavailable

Details

Page Title

Town of Stanford – Hamlets of Stanfordville & Bangall

Scan Type

public

Domain Name Analysis

Within the United States government-restricted top-level domain (.gov), 'stanfordny.gov' is registered. Its registrable label 'stanfordny' stretches across 10 characters split between two vowels and eight consonants. Splitting it apart reveals two words: stanford, ny. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

23.43s
Total Load Time
1.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:5,698 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service62% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
62%
government
48%
corporate
35%
news/blog
20%

Detected Features

Search
Articles
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22216.58.206.74United States
AS15169GOOGLE
2172.217.18.10United States
AS15169GOOGLE
2142.250.185.138United States
AS15169GOOGLE
2216.58.212.138United States
AS15169GOOGLE
2142.250.186.170United States
AS15169GOOGLE
2142.250.185.195United States
AS15169GOOGLE
2142.250.184.195United States
AS15169GOOGLE
2142.250.185.170United States
AS15169GOOGLE
2142.250.186.106United States
AS15169GOOGLE
2142.250.74.202United States
AS15169GOOGLE
8030--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15804517100893933621B91A6C1C47E3FAED2E307C7769A43B37D8A450FD6ED2A967178

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:fc/kEsapEFvq0NRVD5v694vXuwvIJcH9wGILYiBPfp5gtqx3U9ArfpcRzk00KA3v:Uxu7SWvDcvXtAZEh6gcMyMp3OI2/AT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:183103:gPsAw0EmCEAABPrTJggGQcusxAEQkmWZZQxBBiYzqRIIADERBRUxGAxQAQEQAIkDJChEgJFUiQnzAYYBDjCJAAj1J40ZgKCa

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:000000ffffffffff
Perceptual Hash:fa7b6be1c1921232
Difference Hash:1b133d290f0c0f0f
Wavelet Hash:000000ffe7ffc3e7
Color Hash:#79d2aa

Scan History

Scan history not available

Unable to load historical scan data