Security Scan Report: ns3.go-vip.net

Redirected to:
https://wordpress.com/support/domains/?baddns=true&host=ns3.go-vip.net
Submitted: Apr 13, 2026, 3:03:08 AMCompleted: Apr 13, 2026, 3:04:13 AMpubliccompleted
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Summary

This website contacted 9 IPs in 1 country across 11 domains to perform 74 HTTP transactions. The main domain is wordpress.com and was registered NaN years ago.

Submitted URL: https://ns3.go-vip.net

Effective URL: https://wordpress.com/support/domains/?baddns=true&host=ns3.go-vip.netRedirected

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: 92%

0
Risk Score

The site is a legitimate WordPress support article; no phishing, malware, or scam indicators detected.

Safety Factors
Well‑established domain with long registration history
High reputation ranking
Redirects to official WordPress support page
Article‑type page with no malicious scripts
Absence of credential exfiltration or malicious indicators
Domain age information unavailable

Details

Page Title

Manage Your Domains | WordPress.com Support

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(53%)

Domain Information

The domain name 'ns3.go-vip.net' uses the network infrastructure generic top-level domain (.net) and includes subdomain 'ns3'. The second-level label 'go-vip' is 6 characters long split between two vowels and three consonants, notching 1 hyphen. Splitting it apart reveals two words: go, vip. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ns3.go-vip.net

Page Load Overview

4.47s
Total Load Time
102
HTTP Requests
19
Domains
1.0 MB
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:8,810 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical53% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
53%
technology software
51%
corporate
35%
education learning
28%
news/blog
20%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14192.0.78.23San Francisco, California, United States
AS2635Automattic, Inc
11192.0.73.2San Francisco, California, United States
AS2635Automattic, Inc
11192.0.66.2San Francisco, California, United States
AS2635Automattic, Inc
11192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
11192.0.77.32San Francisco, California, United States
AS2635Automattic, Inc
11192.0.74.7San Francisco, California, United States
AS2635Automattic, Inc
11192.0.78.9San Francisco, California, United States
AS2635Automattic, Inc
11142.251.110.136United States
AS15169Google LLC
11192.0.78.24United StatesUnknown
1029--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19F341972A15C147D0B1A83CCF4117729B51ED537EA8686E5B8FFC23817C6AF249AA70C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:hQDCUjCGJZJahGAp5Vnvr79dyLjeZq4Yho/pIt4zCQ9cJAfAZhJKpd2VaWWcKdN9:hQCUjCFdood2VaWWcKdNNJa8TX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:244552:YIYcSQhKKdCExQYCqtpqAQNirBAiQIOFGvFRNDAJKAkbNVGADAMgaCEie5hxQ0AcdCkMVAyFCJAAsPIQRFKBCQkIJEA2xUED

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:ffffffff87878787
Perceptual Hash:b6c93636c1c1363e
Difference Hash:f0202a722f2f2d2d
Wavelet Hash:1e9fbb8381838787
Color Hash:#7be06c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data