SCAN INCOMPLETE - LIMITED DATA COLLECTED

There were problems collecting data from this website

The website may be blocking automated browsers (bot protection)
The site may be using geo-blocking or rate limiting
Network connectivity issues may have prevented access

LIMITED DATA

Note: There were problems collecting data during this scan, and some information may be missing or incomplete. The security analysis below is based on limited information and may not be accurate. Consider trying the scan again.

Security Scan Report: nytownofglen.gov

Submitted: Dec 16, 2025, 8:56:21 AMCompleted: Dec 16, 2025, 11:12:23 AMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 0 countries across 1 domain to perform 3 HTTP transactions. The main domain is nytownofglen.gov and was registered NaN years ago.

Submitted URL: https://nytownofglen.gov/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

NYS Town of Glen - Home

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(85%)

Domain Information

The domain name 'nytownofglen.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. The core label 'nytownofglen' covers 12 characters holding three vowels versus nine consonants. Breaking it apart gives 4 words: ny, town, of, glen. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

8.19s
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:744 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software85% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
85%
documentation technical
64%
government public service
56%
adult content
53%
government
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
213.107.213.67UnknownUnknown
113.107.246.67UnknownUnknown
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D9C32B066176193B425701DABEBF7E4E31B58047E2459D10BEACCE085FC1EA42EF276E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:eDxxhdqsreXJioGA1q0Rpiy/XIrkDrDig2aVVYrF5WHgwoIUSX8xPm6+iaPvjG8H:sCzRB/XNDrxHVVYL5OPvnzdd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:126477:pQAAQooYxYkkIkUiQyHgIjAuZkIRACWWCMg2AIyBBDIA4JgOAFUXCEVEba5cSX7TVABgMGhAqEqAQIQUM4oTbUSKxYZCYA1g

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:0000003cffffffff
Perceptual Hash:a85f00fde1534739
Difference Hash:d121f1d92a189e8e
Wavelet Hash:00000000ffffffff
Color Hash:#d2798f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data