Security Scan Report: www.yellvillear.gov

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Submitted: Oct 4, 2025, 10:06:17 AMCompleted: Oct 4, 2025, 10:07:11 AMpubliccompleted
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Summary

This website contacted 37 IPs in 1 country across 12 domains to perform 96 HTTP transactions. The main domain is yellvillear.gov and was registered NaN years ago.

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

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

New municipal site with no malicious signs but low reputation; proceed cautiously.

Risk Factors
Newly registered domain (<90 days)
Unranked domain (low reputation indicator)
Safety Factors
No malicious Indicators of Compromise detected
No forms collecting sensitive data
Content appears to be official municipal information
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by captcha bot protection. Our scanner was challenged or blocked during access.

Page Title

City of Yellville

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(80%)

Domain Information

The domain name 'www.yellvillear.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'www'. Its registrable label 'yellvillear' stretches across 11 characters containing 4 vowels alongside seven consonants. It segments into three words: yell, ville, ar. Median word length comes out to four characters. The linguistic tilt is Breton for 'ar'. You will also see it in Latvian and Danish contexts. Overall, 'www.yellvillear.gov' reads as Breton.

Screenshot

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

Page Load Overview

3.79s
Total Load Time
96
HTTP Requests
12
Domains
9.1 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:8,263 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service80% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
80%
government
48%
finance banking
41%
documentation technical
30%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
24108.138.7.63United States
AS16509AMAZON-02
218.244.20.22United States
AS16509AMAZON-02
23.174.46.60United States
AS16509AMAZON-02
2108.168.254.49Dallas, Texas, United States
AS36351SOFTLAYER
2142.250.184.238United States
AS15169GOOGLE
23.171.214.78United States
AS16509AMAZON-02
23.174.46.4United States
AS16509AMAZON-02
23.174.46.113United States
AS16509AMAZON-02
2108.138.7.62United States
AS16509AMAZON-02
276.223.58.8United States
AS16509AMAZON-02
9637--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C5F33B11DA951526204B40E9F263BB16B3B0C247F26349E0B9AF1672DFCADF6636374C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:iC9Gor9XmgXesT3Ncg2ybesH3NIajihmJpHqR0+dr7Vztz3SHutzZ85wCmqfQqUK:Z9Gor9X6hm2d1rzZGWjM4Pe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:160080:AUTFrFTgkHIBDQNCgSSOIUxDkilSQRDLbEQLMgSQEAmByV2sMKTOkUJSkAqgQ8KIQEgADDNAMAeYihipxiHlAhsGhCAEEEOY

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:c613adb94297196e
Difference Hash:8a2fd4d4cc162727
Wavelet Hash:ff85043c00ffff00
Color Hash:#b5e06c

Scan History

Scan history not available

Unable to load historical scan data