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LIMITED DATA

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Security Scan Report: villageofsaugerties.gov

Submitted: Dec 10, 2025, 8:57:54 AMCompleted: Dec 10, 2025, 8:59:53 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is villageofsaugerties.gov and was registered NaN years ago.

Submitted URL: https://villageofsaugerties.gov/

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

The site shows no security concerns and appears legitimate.

Safety Factors
Government TLD (.gov) requires verification
No suspicious external links or redirects
Domain age is moderate (124 days) but no other risk indicators
Domain age information unavailable

Details

Page Title

villageofsaugerties.gov

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(81%)

Domain Information

Domain 'villageofsaugerties.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. The core label 'villageofsaugerties' covers 19 characters containing nine vowels alongside 10 consonants. Breaking it apart gives five words: village, of, s, auger, ties. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

35.26s
Total Load Time
3
HTTP Requests
1
Domains
N/A
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
Text Length:765 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software81% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
81%
documentation technical
56%
government
48%
government public service
47%
adult content
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3170.158.227.225Syracuse, New York, United States
AS46158OCMBOCES
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17A048F77329A063986558498E05B430DAF20B543F506C9BC79BCBAD8BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ufQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszR2bMy8OldY:dhoC9JSqzzbs6o3Sj3gcrsd2eAi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187184:AiWqARWA3SAQjkhSJgGAgrP9GKlQ0IAkDBEwClSBIhwyBJQCACkSagCTVAAQWAYAgwQ8BQSqohxKdAcqQTdRAQ2ThBgCIaXn

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:0f0f0707c0fcf0f0
Color Hash:#a1c587

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data