Security Scan Report: dodgecountyne.gov

Redirected to: https://www.searchhounds.com/articles/cdl-training-programs-vocational-certification-opportunities.html?psystem=PW&domain=dodgecountyne.gov&expId=parking_pw_4537_gdads-rsoc

Submitted: Dec 15, 2025, 4:16:48 PMCompleted: Dec 15, 2025, 4:17:09 PMpubliccompleted
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Summary

This website contacted 32 IPs in 3 countries across 13 domains to perform 58 HTTP transactions. The main domain is searchhounds.com and was registered NaN years ago.

Submitted URL: https://dodgecountyne.gov/

Effective URL: https://www.searchhounds.com/articles/cdl-training-programs-vocational-certification-opportunities.html?psystem=PW&domain=dodgecountyne.gov&expId=parking_pw_4537_gdads-rsocRedirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The page appears legitimate with no security concerns.

Safety Factors
Well‑established domain age
Absence of malicious Indicators of Compromise
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

CDL Training Programs: Your Gateway to a Rewarding Transportation Career | SearchHounds

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(96%)

Domain Information

Domain 'dodgecountyne.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. The core label 'dodgecountyne' covers 13 characters with 5 vowels and 8 consonants. Breaking it apart gives 3 words: dodge, county, ne. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.21s
Total Load Time
58
HTTP Requests
13
Domains
962 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:62,785 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning96% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
96%
corporate business
54%
government
48%
government public service
41%
documentation technical
41%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
27142.250.186.100United States
AS15169GOOGLE
1142.250.185.106United States
AS15169GOOGLE
123.207.210.143Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
113.32.121.112New York, New York, United States
AS16509AMAZON-02
123.36.162.222Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
113.235.169.95Mumbai, Maharashtra, India
AS16509AMAZON-02
1142.250.184.193United States
AS15169GOOGLE
123.36.162.223Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1142.250.185.78United States
AS15169GOOGLE
1142.250.184.226United States
AS15169GOOGLE
5832--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F0925D3AF110393A71B3C3ACE5A3FA55923D901992564164704D2AAE8FDEFC69133F6C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:CyUOpjyU8jcc8+cmaVRMEDnwwTZHtQamHTB/VvvmeyUVsWRDkDG:CPijP8jcFZHtQ/zB/Vv+ePu2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20536:AkwpAeXiUhNHAoYpHICA4zF8hBBigCAxFAHSpAQIUVpAyQUF0DJI0DcdEpRasACKIwAAMOOQ6gSIQEJDxYGCjwQgcSgQgcty

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:ff83c3c3c3fbff81
Perceptual Hash:bd952e8638d26a9a
Difference Hash:24262e36322b6033
Wavelet Hash:ff82828083ffff00
Color Hash:#d2d22d

Other Hashes

Crop Resistant:24262e36322b6033

Scan History

Scan history not available

Unable to load historical scan data