Security Scan Report: wgb-zenith.go-vip.net

Submitted: Jul 4, 2026, 9:09:41 AMCompleted: Jul 4, 2026, 9:11:12 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is wgb-zenith.go-vip.net and was registered NaN years ago.

Submitted URL: https://wgb-zenith.go-vip.net

The Cisco Umbrella rank of the primary domain is #8,476 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

AI analysis skipped: Low-risk scan (score=24) on well-ranked domain #8,476.

Safety Factors
Well-established domain (ranked #8,476)
No forms or interactive credential elements
No IoC, YARA, or IDS alerts
Domain age information unavailable

Details

Page Title

404 Not Found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(79%)

Domain Information

The domain 'wgb-zenith.go-vip.net' uses the network infrastructure generic top-level domain (.net); it also runs on subdomain 'wgb-zenith'. The core label 'go-vip' covers 6 characters containing two vowels alongside 3 consonants, along with one hyphen. Segmentation suggests 2 words: go, vip. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://wgb-zenith.go-vip.net

Page Load Overview

8.09s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:759 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software79% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
79%
documentation technical
54%
adult content
44%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1192.0.66.84San Francisco, California, United States
AS2635Automattic, Inc
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T152F0BE9FAF12207B2E238571F4C32169CF680A6BEB9925D28749011F72CE04188F5FA9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:kxReRHbx0AqdtklIgr8IHTF83TF83TF83TF83TF83TFf:kTeRHmAm8LTuTuTuTuTuTF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:534:AAAAAoAAAAAAAAAEABAAAAAAAAAAAAIAAAAgAAAAAAAAAAAAIAAAAAAAAAAAAAAAAAAAAAIAAAAAAAQAAQAAAAAAAAAgAAAA

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:00ffffffffffffff
Perceptual Hash:e666666666662333
Difference Hash:0c00000000000000
Wavelet Hash:00ff3f3f00000000
Color Hash:#d279d1

Other Hashes

Crop Resistant:0c00000000000000

Scan History

Scan history not available

Unable to load historical scan data