Security Scan Report: jeffersontown-ny.gov

Redirected to: https://jeffersontown-ny.gov/

Submitted: Dec 20, 2025, 1:30:02 AMCompleted: Dec 20, 2025, 1:31:11 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 jeffersontown-ny.gov and was registered NaN years ago.

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

Effective URL: https://jeffersontown-ny.gov/Redirected

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Site shows a certificate error but lacks phishing or malware indicators; treat as low risk.

Risk Factors
Invalid SSL/TLS certificate (common name mismatch) may allow man‑in‑the‑middle attacks
Safety Factors
.gov top‑level domain suggests official government ownership
Domain age > 180 days indicates established site
No credential or payment collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Privacy error

Scan Type

public

Language

🇺🇸

English

(52% confidence)

Category

documentation technical

(59%)

Domain Information

You're looking at domain 'jeffersontown-ny.gov' on the United States government-restricted top-level domain (.gov) while skipping any subdomain. Its registrable label 'jeffersontown-ny' stretches across 16 characters holding 4 vowels versus eleven consonants, along with 1 hyphen. Segmentation suggests two words: jeffersontown, ny. Average segment length settles at 7.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

5.73s
Total Load Time
3
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:52%
Script Type:Latin
Text Length:186 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical59% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
59%
government
48%
adult content
34%
technology software
32%
government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
364.22.37.4Ravena, New York, United States
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T196D3BF7155E60A3F181B45E772DB39483B686083A603ED93F5FCB8409F8F6B42462BD9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:BmqWZAdOo9La2g+nfKBb7N7w9oMq5pchzJGu4lWQK3hUpm5mmtBus:TWWxAzE5PtUs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:137347:KgABkDRkQSPElEgBNrAZNAIRhQsiBOIyAGFACqCggVDFSADcADCBJUk5EORUiEEASgQBwiSrgNUhJKApwQLAGUcBJkRgM2gE

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:ff3f0501ff81fdfc
Perceptual Hash:8aa5c2a5da7c7ad0
Difference Hash:c0d06f7330174149
Wavelet Hash:ff3f00011f00ff3c
Color Hash:#2d867b

Other Hashes

Crop Resistant:c0d06f7330174149

Scan History

Scan history not available

Unable to load historical scan data