Security Scan Report: wearenh.gov

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

Submitted: Dec 3, 2025, 1:22:50 AMCompleted: Dec 3, 2025, 1:23:59 AMpubliccompleted
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Summary

This website contacted 35 IPs in 3 countries across 14 domains to perform 57 HTTP transactions. The main domain is searchhounds.com.

Submitted URL: https://wearenh.gov/

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

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Redirect leads to established domain searchhounds.com
Page contains only informational text and standard privacy consent notices
No suspicious forms or data collection mechanisms
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

(82%)

Domain Information

The domain name 'wearenh.gov' uses the United States government-restricted top-level domain (.gov) without a subdomain. Its registrable label 'wearenh' stretches across 7 characters split between 3 vowels and four consonants. Word splitting yields three words: we, are, nh. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.65s
Total Load Time
57
HTTP Requests
14
Domains
953 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:61,319 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property82% confidence
Type: static
Method: ml+structural

All Detected Categories

real estate property
82%
government public service
77%
government
48%
documentation technical
34%
adult content
26%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1323.36.162.222Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6142.250.185.193United States
AS15169GOOGLE
6142.250.186.174United States
AS15169GOOGLE
5216.58.206.35United States
AS15169GOOGLE
4216.58.206.34United States
AS15169GOOGLE
423.207.210.143Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
465.8.131.115United States
AS16509AMAZON-02
3142.250.185.226United States
AS15169GOOGLE
2142.250.185.228United States
AS15169GOOGLE
2142.250.184.238United States
AS15169GOOGLE
5735--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T139822C3DF100793A32B7C39CF5E2FB56603E9129C56A4168704E29694BDDFC2D472B58

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:P48cc8+cmaVRMEDnwwTZHtQamHTB/VvnNkRX09LcOWBuDg:Q8cFZHtQ/zB/Vvxxvu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18182:INkyFQRago0QZigCoZLpBwNRQVkAUQAlURFkBadRRwwklEoIJAcCSwEggFAyoCQSUQC8AI4IQQKwfToYJABrIdRRBEI3wg8W

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:bffd98ffff038f83
Perceptual Hash:8bcb95b5b5824b4a
Difference Hash:64613159735f0f2b
Wavelet Hash:3ffe189f1f018701
Color Hash:#b96ce0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data