Summary
This website contacted 19 IPs in 2 countries across 7 domains to perform 44 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: 88%
1
Risk Score
Legitimate government payment portal with no malicious signs.
Safety Factors
.gov TLD
No credential or payment collection fields
No malicious Indicators of Compromise
Simple informational page with search field only
Domain age information unavailable
Details
Page Title
Make a Payment
Scan Type
public
Language
🇺🇸
(80% confidence)English
Category
government public service
(77%)Screenshot
Page Load Overview
31.26s
Total Load Time
44
HTTP Requests
7
Domains
442 KB
Total Size
Language Analysis
Primary Language
🇺🇸English
Code: enConfidence:80%
Script:Latin
Direction:ltr
Detection Details
Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:5,641 chars
Detector Agreement:100%
Website Classification
Primary Category
government public service77% confidence
Type: spa
Method: ml+structural
All Detected Categories
government public service
77%
healthcare medical
60%
government
48%
forum
20%
Detected Features
Search
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 8 | 142.250.181.232 | United States | AS15169GOOGLE |
| 2 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 142.250.185.234 | United States | AS15169GOOGLE |
| 2 | 184.24.77.154 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 216.239.34.36 | United States | AS15169GOOGLE |
| 2 | 142.250.186.99 | United States | AS15169GOOGLE |
| 2 | 129.71.225.6 | Charleston, West Virginia, United States | AS7925WVNET |
| 2 | 2a00:1450:4001:82f::200a | Germany | Unknown |
| 2 | 2a02:26f0:3500:8::210:a58 | Germany | Unknown |
| 2 | 2001:4860:4802:32::36 | Germany | Unknown |
| 44 | 19 | - | - |
Detected Technologies11
100%
100%
50%
40%
30%
30%
20%
20%
20%
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
T1F9531FA5D9E8D1134681C1423F20772ADD82892BDA8DBDB5B0EC855DAFD0EE38C5738D
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
768:mAYkUKJcuIs6s5JH/OcS6fMYIHWqvfYtBScj+syf9PsR6KMfooTTXx7JJjBK:m+H/swPSfxsUKMAoxlRBK
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
sdhash:3:61933:IAwkhEAFgSTYMEGLFEn4GgGQIQSyEhYKIUg06lJMJTNJRBpEwAGagpLNE2K+gDWBEAVREAVFxQCYQQiAClJBMAGSBajAwDUA
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:#d29b79
Other Hashes
Crop Resistant:1e1e0e0d342c3020
Scan History
Scan history not available
Unable to load historical scan data