Security Scan Report: schoharietown-ny.gov

Redirected to: http://schoharietown-ny.gov/cgi-sys/defaultwebpage.cgi

Submitted: Oct 19, 2025, 11:07:01 PMCompleted: Oct 19, 2025, 11:08:13 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 10 HTTP transactions. The main domain is schoharietown-ny.gov and was registered NaN years ago.

Submitted URL: http://schoharietown-ny.gov/

Effective URL: http://schoharietown-ny.gov/cgi-sys/defaultwebpage.cgiRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate; only a certificate warning is present.

Safety Factors
Established domain age
Absence of credential or payment collection
No malicious Indicators of Compromise
Default web page with no phishing cues
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by rate_limit bot protection. Our scanner was challenged or blocked during access.

Page Title

Privacy error

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(88%)

Domain Information

The domain name 'schoharietown-ny.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. Count 16 characters in 'schoharietown-ny' containing 5 vowels alongside ten consonants; it also includes 1 hyphen. Word splitting yields five words: sch, oha, rie, town, ny. Expect three characters per word on average. 'sch' is most common in German usage. You will also see it in Portuguese (Brazil) and Danish contexts.

Screenshot

Security scan screenshot of http://schoharietown-ny.gov/

Page Load Overview

15.65s
Total Load Time
10
HTTP Requests
1
Domains
22 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:967 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical88% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
88%
technology software
88%
government public service
80%
news media journalism
69%
cryptocurrency blockchain
68%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1064.22.37.4Coxsackie, New York, United States
101--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T161E1FE5B6AF200276043A4B56BAB3712AB24E053C21ECD543E1C53D8DF86992CDA3B9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:9lYHC+H1U7ydPJq5AtyhhuT9w3y4E9SyJ0dl9VR8L:t9Tlh8L

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6944:0ARKQBAgwcEZIRlwCECLCdQABvdk1AFChlZAwGBYikjCaQgGAQCAA4TBCAFIIIQEAIBZFRRigYAJnIQgAEKgO1ESIBCABBGo

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data