Security Scan Report: wvgopay.gov

Submitted: Nov 18, 2025, 4:24:00 AMCompleted: Nov 18, 2025, 4:26:49 AMpubliccompleted
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Summary

This website contacted 12 IPs in 3 countries across 4 domains to perform 36 HTTP transactions. The main domain is wvgopay.gov and was registered NaN years ago.

Submitted URL: https://wvgopay.gov/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate payment portal with no detected threats.

Safety Factors
Government .gov domain
Provides payment information for official West Virginia entities
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

Make a Payment

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(86%)

Domain Information

Domain 'wvgopay.gov' uses the United States government-restricted top-level domain (.gov) without a subdomain. The second-level label 'wvgopay' is 7 characters long holding 2 vowels versus five consonants. Tokenizing the label suggests 3 words: wv, go, pay. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

123.86s
Total Load Time
36
HTTP Requests
4
Domains
0 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:729 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software86% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
86%
documentation technical
65%
government public service
63%
adult content
58%
government
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.250.185.106United States
AS15169GOOGLE
3184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3142.250.185.72United States
AS15169GOOGLE
3129.71.225.6Charleston, West Virginia, United States
AS7925WVNET
32a02:26f0:3500:8::210:a44Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
32a00:1450:4001:80e::2008Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
32a02:26f0:3500:8::210:a48Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
32a00:1450:4001:82f::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
3142.250.181.234United States
AS15169GOOGLE
32.21.2.121Palermo, Sicily, Italy
AS6762TELECOM ITALIA SPARKLE S.p.A.
3612--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1005320A5D9E8D1134681C1423F30732A9D82892BDA8D79B5F0EC895DAFD0EE38D5738D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:mxymyXIOc7ePScjtsyf9PsR6KMfooTTXx7JJ8JA:mQTIteNjfxsUKMAoxliJA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:61907:jRCmSEAGIBdkIioQNUICuAmkNBW0FLILCDkgMJsIEZKMSUSAQQoyQMZEKF6gmJKFhgEAFACdBZogRZGgiFCyQExUIGqEBTAX

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:0387c3e3dfdfdfff
Perceptual Hash:b43119993e666799
Difference Hash:1e1e0e0d342c3020
Wavelet Hash:0200c3c7879f9f9f
Color Hash:#b487c5

Other Hashes

Crop Resistant:1e1e0e0d342c3020

Scan History

Scan history not available

Unable to load historical scan data