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Security Scan Report: magnoliawi.gov

Submitted: Dec 18, 2025, 3:51:41 AMCompleted: Dec 18, 2025, 3:54:00 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is magnoliawi.gov and was registered NaN years ago.

Submitted URL: https://magnoliawi.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official government domain (magnoliawi.gov)
Established domain age
No suspicious forms or content
No external links or redirects
Domain age information unavailable

Details

Page Title

Town of Magnolia

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(85%)

Domain Information

Domain 'magnoliawi.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. Count 10 characters in 'magnoliawi' containing 5 vowels alongside 5 consonants. Segmentation suggests two words: magnolia, wi. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

59.00s
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:738 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

technology software
85%
documentation technical
66%
government public service
60%
adult content
58%
government
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3188.114.97.3United States
AS13335CLOUDFLARENET
0188.114.96.3United States
AS13335CLOUDFLARENET
02a06:98c1:3121::3United States
AS13335CLOUDFLARENET
02a06:98c1:3120::3United States
AS13335CLOUDFLARENET
34--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C1D37DF670E1343627A307E5E16A6209F6665027EB098860B3FD99D60FD5DEA1073B3C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:2akqaS86vYlDnNawFmLUW1Cm3T1q/FhzjNr56oaf:fwlDfmhq2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:130152:MhTh7jACAHjgiOJAIRAwJg2BQBsgshBuhQl3FwBEEgF8AAaGHIqAAC4WQEsAogQAjgWBShQMAGQo0ptBRAC0gBGEAcIAJQ0Y

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:df000000ffffffff
Perceptual Hash:f91b848cf8f0f4c4
Difference Hash:1ad35a199b328406
Wavelet Hash:03000000eeffffff
Color Hash:#2dd23d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data