Security Scan Report: villageofmorganza.gov

Redirected to: https://www.searchhounds.com/articles/central-bank-digital-currencies-the-future-of.html?psystem=PW&domain=villageofmorganza.gov

Submitted: Dec 24, 2025, 3:26:44 AMCompleted: Dec 24, 2025, 3:27:16 AMpubliccompleted
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Summary

This website contacted 18 IPs in 3 countries across 13 domains to perform 57 HTTP transactions. The main domain is searchhounds.com and was registered NaN years ago.

Submitted URL: https://villageofmorganza.gov/

Effective URL: https://www.searchhounds.com/articles/central-bank-digital-currencies-the-future-of.html?psystem=PW&domain=villageofmorganza.govRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate article page with no security concerns.

Safety Factors
Well‑established domain age reduces risk
Absence of forms collecting sensitive data
No phishing or malware indicators detected
Final URL points to a legitimate news site
Domain age information unavailable

Details

Page Title

Central Bank Digital Currencies: The Future of Money? | SearchHounds

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(58%)

Domain Information

The domain 'villageofmorganza.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. The second-level label 'villageofmorganza' is 17 characters long containing 7 vowels alongside ten consonants. Breaking it apart gives 4 words: village, of, morgan, za. Median word length is 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.18s
Total Load Time
57
HTTP Requests
13
Domains
846 KB
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:61,828 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software58% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
58%
finance banking
58%
cryptocurrency blockchain
52%
government
48%
government public service
39%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6142.250.185.129United States
AS15169GOOGLE
318.66.122.49United States
AS16509AMAZON-02
323.36.162.222Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
323.207.210.148Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
313.32.121.112New York, New York, United States
AS16509AMAZON-02
3142.251.140.170United States
AS15169GOOGLE
313.203.174.255Mumbai, Maharashtra, India
AS16509AMAZON-02
313.202.248.51Mumbai, Maharashtra, India
AS16509AMAZON-02
33.33.130.190United States
AS16509AMAZON-02
323.207.210.143Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
5718--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D3F0C0D3DC61C51D0B60C2D9B922F72C8006F52DDD95E840B491006744E8AE24C5A854

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:n0VA2ZARUbAiSTsSQQ9WSPD3Lp0LVe2KPD3LqWTW:n0VA8oTs49WSeVpKSWC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:539:AAAQAAAAAEAAAAEAAAAAAAIAABAAAAAAAAAAAAAAAAAAAAAAAAAACAAAAAAQAABAAAAABACAAACAAAAAAACAAAACAAAAAAAA

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#79d2b2

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data