Security Scan Report: gilboatown-ny.gov

Redirected to:
http://gilboatown-ny.gov/cgi-sys/defaultwebpage.cgi
Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Submitted: Nov 17, 2025, 5:28:26 AMCompleted: Nov 17, 2025, 5:29:38 AMpubliccompleted

Summary

This website contacted 1 IP in 0 countries across 1 domain to perform 10 HTTP transactions. The main domain is gilboatown-ny.gov and was registered 2 years 2 months ago.

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

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

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Site shows an SSL certificate mismatch but lacks phishing or malware indicators; overall low risk.

Risk Factors
Invalid SSL certificate (common name mismatch) leading to connection not private warning
Safety Factors
Government .gov top‑level domain
Domain age > 1 year (established)
No malicious Indicators of Compromise detected
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

Privacy error

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

technology software

(88%)

Domain Information

Domain 'gilboatown-ny.gov' uses the United States government-restricted top-level domain (.gov). The second-level label 'gilboatown-ny' is 13 characters long holding four vowels versus eight consonants, notching one hyphen. Tokenizing the label suggests 3 words: gilboa, town, ny. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of gilboatown-ny.gov

Page Load Overview

31.00s
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:964 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software88% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
88%
documentation technical
87%
government public service
78%
phishing scam
65%
news media journalism
65%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1064.22.37.4UnknownUnknown
101--

Page Statistics

10
Requests
4
Unique Domains
34.7 KB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T139D3BF7155E60A3F181B45E772DB39483B686083A603ED93F5FCB8409F8F6B42462BD9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:9mqWZAdOo9La2g+nfKBb7N7w9oMq5pchzJGu4lWQK30Upm2CmtBug:fWWxA0E2LtUg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:137314:VaAEGKgGQPBADQBEM5AjFUDAWoKIBBTCsqYK9qoJkqGiWCzCBSYCQAQ/oRAQBZwAQ42wIokiD7NFCzPQkQHIAVIAhGIpw2IA

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:ffcfc7c7c3f3ffff
Perceptual Hash:b0339bcc6c936764
Difference Hash:001c1c1c16060000
Wavelet Hash:30000000c3ffffff
Color Hash:#8ebf40

Other Hashes

Crop Resistant:001c1c1c16060000

Scan History

Scan history not available

Unable to load historical scan data