Security Scan Report: www.yellvillear.gov

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Submitted: Nov 22, 2025, 8:50:48 AMCompleted: Nov 22, 2025, 8:52:34 AMpubliccompleted
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Summary

This website contacted 30 IPs in 2 countries across 11 domains to perform 92 HTTP transactions. The main domain is yellvillear.gov and was registered NaN years ago.

Submitted URL: https://www.yellvillear.gov/

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

New municipal website with no malicious signs; low risk.

Risk Factors
Domain is less than 90 days old, which may indicate limited establishment
Safety Factors
No malicious Indicators of Compromise detected
No forms collecting sensitive data
Official .gov TLD suggests legitimate government ownership
Only public informational content displayed
Domain age information unavailable

Details

Page Title

City of Yellville

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(70%)

Domain Information

Domain 'www.yellvillear.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'www'. Its registrable label 'yellvillear' stretches across 11 characters holding four vowels versus seven consonants. Word splitting yields three words: yell, ville, ar. Median word length is 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.yellvillear.gov/

Page Load Overview

1.19s
Total Load Time
92
HTTP Requests
11
Domains
8.7 MB
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:3,203 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service70% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
70%
education learning
70%
government
48%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
29108.138.7.94United States
AS16509AMAZON-02
273.174.46.98United States
AS16509AMAZON-02
1554.192.35.67United States
AS16509AMAZON-02
53.174.46.60United States
AS16509AMAZON-02
535.174.48.62Ashburn, Virginia, United States
AS14618AMAZON-AES
576.223.58.8United States
AS16509AMAZON-02
354.192.35.106United States
AS16509AMAZON-02
318.244.20.158United States
AS16509AMAZON-02
354.192.35.89United States
AS16509AMAZON-02
3108.168.254.49Dallas, Texas, United States
AS36351SOFTLAYER
9230--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T157D33A21F69D1431A053807FB367F71DA675C007DB225DA0B68F63205FCAED66A62B88

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:PC9Gor9XawxhkgyesT3NcgLyWesL3NILjihmJp8nXVrtzLSHudzZ85lCmqfQqUNF:a9Gor9XaDhmA/zZGMCL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:139862:gaQ1YCJBHQJ9CAIBVoDBEDEPIgfIXYCREIRNAFgYaI2gpAwILEiQKJDhiEFOMeCQgWCHEABAAALJa9hYhlolqhAOIKwAwiFm

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:ffe7003c00ffff00
Perceptual Hash:c613acf94297196e
Difference Hash:8a2fd4d4cc172727
Wavelet Hash:ff85043c00ffff00
Color Hash:#c6d279

Scan History

Scan history not available

Unable to load historical scan data