Security Scan Report: dodgecountyne.gov

Redirected to: https://www.searchhounds.com/articles/california-dmv-new-laws-2025-what-every-driver.html?psystem=PW&domain=dodgecountyne.gov&expId=parking_pw_4537_gdads-rsoc

Submitted: Nov 22, 2025, 5:08:23 PMCompleted: Nov 22, 2025, 5:09:23 PMpubliccompleted
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Summary

This website contacted 34 IPs in 3 countries across 14 domains to perform 57 HTTP transactions. The main domain is searchhounds.com.

Submitted URL: https://dodgecountyne.gov/

Effective URL: https://www.searchhounds.com/articles/california-dmv-new-laws-2025-what-every-driver.html?psystem=PW&domain=dodgecountyne.gov&expId=parking_pw_4537_gdads-rsocRedirected

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

Impersonates DMV on untrusted .gov domain; high risk phishing.

Risk Factors
Brand impersonation of a government agency on an untrusted .gov domain
New or unknown domain age with parked status
Redirect to unrelated commercial site
Low Cisco Umbrella ranking (UNRANKED) for a .gov TLD
Potential social engineering to collect personal data under the guise of DMV updates
Domain age information unavailable

Details

Page Title

California DMV New Laws 2025: What Every Driver Needs to Know | SearchHounds

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

real estate property

(77%)

Domain Information

You're looking at domain 'dodgecountyne.gov' on the United States government-restricted top-level domain (.gov) while skipping any subdomain. Count 13 characters in 'dodgecountyne' split between five vowels and eight consonants. Tokenizing the label suggests 3 words: dodge, county, ne. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.73s
Total Load Time
57
HTTP Requests
14
Domains
951 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:61,326 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property77% confidence
Type: static
Method: ml+structural

All Detected Categories

real estate property
77%
government public service
75%
government
48%
documentation technical
36%
adult content
27%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2465.8.131.115United States
AS16509AMAZON-02
1323.50.131.159Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6142.250.184.193United States
AS15169GOOGLE
6172.217.18.14United States
AS15169GOOGLE
5142.250.186.131United States
AS15169GOOGLE
423.53.42.211Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
465.8.131.53United States
AS16509AMAZON-02
4142.250.186.34United States
AS15169GOOGLE
313.126.68.79Mumbai, Maharashtra, India
AS16509AMAZON-02
3142.250.186.162United States
AS15169GOOGLE
5734--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T144A45131F840192FAB3F44C4A74AD71AB1D6A31FF4E90410D5DA07684AE9E78F51E2E7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:RuSpyRce02Nd9PPplAzbTnd3hianxUerm0Osute0J1Q/RihTVjoKSFvE0q6PRibl:USpQ8hiznmP7Y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:470182:kTQYAJEEVDCxxaiGALmUP8QQAA2ESBJTgxysE0CNIVR0aQlGDR3IAAsHFDTYBAg8FgtGCOAroSEoAAgjAchkAkJBHShhK2kJ

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:00183c3c3c3c0000
Perceptual Hash:d9c963f218b61c9c
Difference Hash:3b33323232322317
Wavelet Hash:bf98bebcbcbe0000
Color Hash:#9ad279

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data