Security Scan Report: stalbanswv.gov

Redirected to: https://www.searchhounds.com/articles/california-vehicle-registration-guide-complete.html?psystem=PW&domain=stalbanswv.gov&expId=parking_pw_4537_gdads-rsoc

Submitted: Nov 21, 2025, 9:53:40 AMCompleted: Nov 21, 2025, 9:56:04 AMpubliccompleted
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Summary

This website contacted 34 IPs in 3 countries across 14 domains to perform 58 HTTP transactions. The main domain is searchhounds.com.

Submitted URL: https://stalbanswv.gov/

Effective URL: https://www.searchhounds.com/articles/california-vehicle-registration-guide-complete.html?psystem=PW&domain=stalbanswv.gov&expId=parking_pw_4537_gdads-rsocRedirected

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Unranked parked .gov domain redirects to a legitimate site; no immediate threats detected.

Risk Factors
Unranked .gov domain used for unrelated content (potential brand impersonation)
Domain age unknown / appears newly registered
Safety Factors
No forms collecting passwords, personal credentials, or payment information
No malicious Indicators of Compromise detected
Content appears to be a standard informational article
Domain age information unavailable

Details

Page Title

California Vehicle Registration Guide: Complete Step-by-Step Process | SearchHounds

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

Domain 'stalbanswv.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. Its registrable label 'stalbanswv' stretches across 10 characters holding two vowels versus eight consonants. Tokenizing the label suggests 3 words: st, albans, wv. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

5.64s
Total Load Time
58
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:61,652 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: static
Method: ml+structural

All Detected Categories

government
48%
real estate property
38%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1323.50.131.138Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6172.217.18.14United States
AS15169GOOGLE
6142.250.184.225United States
AS15169GOOGLE
5142.250.185.99United States
AS15169GOOGLE
4142.250.185.130United States
AS15169GOOGLE
4216.58.206.66United States
AS15169GOOGLE
423.207.210.148Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
465.8.131.22United States
AS16509AMAZON-02
2142.250.186.42United States
AS15169GOOGLE
2142.250.186.36United States
AS15169GOOGLE
5834--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AE52D7FF976152B0A04EF3EEF41257D8B953A67EA692C7E4C3884E5062C245E8C07C5B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:mCW8eheYK+gAM22nr6cHtvqGvNbW599viVPnu1TXeAUKR+AmsUCmevQSinsng/CS:r30eJ+gPr6ivfNXIT3R+lspmeninVKPK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13789:Q11KgABxodgVmBAQEhABCtWaJrQEHoU0EhiFgCAkEPAw4KRcihgDCijFEgKURIJoAVBWRsqEoKZ6hAARQsKyCzixYSQkAgCC

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:1989c3ffffffffff
Perceptual Hash:e96949849696b6b6
Difference Hash:a22b0f0200000000
Wavelet Hash:008181fff0f0f0f0
Color Hash:#404cbf

Other Hashes

Crop Resistant:a22b0f0200000000

Scan History

Scan history not available

Unable to load historical scan data