Security Scan Report: visualquizbuilder.com

Redirected to:
https://www.visualquizbuilder.com/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 35 IPs in 2 countries across 21 domains to perform 207 HTTP transactions. The main domain is visualquizbuilder.com and was registered 4 years 2 months ago.

Submitted URL: https://visualquizbuilder.com

Effective URL:
https://www.visualquizbuilder.com/
Redirected

The Cisco Umbrella rank of the primary domain is #261,007 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 90%

1
Risk Score

Legitimate SaaS marketing site for Visual Quiz Builder (Shopify quiz app); self-branded, no forms, 4-year-old domain. Only threat-intel hit is a generic abuse tag on a shared Wix IP, not content evidence.

Safety Factors (5)
Self-branding matches domain — no brand impersonation
No credential, login or payment forms on the page
Domain aged over 4 years with established business legitimacy signals
No hunting rule malware, no IDS alerts, no credential exfiltration
Threat-intel match is generic abuse-reputation on a shared third-party host, not content malware
Domain age information unavailable

Details

Page Title

Product Recommendation Quiz for Shopify | Visual Quiz Builder

Scan Type

public

Domain Name Analysis

The domain 'visualquizbuilder.com' uses the commercial generic top-level domain (.com) and has no subdomain. Count 17 characters in 'visualquizbuilder' containing 8 vowels alongside nine consonants. Splitting it apart reveals 3 words: visual, quiz, builder. Median word length comes out to 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://visualquizbuilder.com

Page Load Overview

2.11s
Total Load Time
2.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:5,421 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: spa
Method: structural

All Detected Categories

corporate
50%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3734.149.87.45Google · CDNKansas City, Missouri, United States
AS396982Google LLC
5185.230.63.107Ashburn, Virginia, United States
AS58182Wix.com Ltd.
5150.171.109.99Azure · CLOUDUnited States
AS8075Microsoft Corporation
565.8.131.55Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
5151.101.2.217Fastly · CDNUnited States
AS54113Fastly, Inc.
5146.75.121.91Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
518.66.137.150Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
554.211.38.12Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
534.149.206.255Google · CDNKansas City, Missouri, United States
AS396982Google LLC
523.194.190.151Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
20735--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FD658E7072046C3C9EA732FDB78AB90C21646402DFD646ADF9DD7A2856D3AF912D3309

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:Sjd305VbdzOmj930SOdIEUhP20oGA2SOPbpBJ61XVHA0rRBeE+KgyeagQSLn8uKV:Md4VbdPjes2aSe1f+HA0tPuK0/K+0cw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1474156:UwCrgTAwMBRowNBk4GdYTKsSuBSFSDgBwDcYZRAABjdAAJMiIFhAETYBFAgiFjCi4o5YMpyID7YAFgshAGA50IGg6YRftJxS

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:ffffd9c8faf0c381
Perceptual Hash:f89a27c63b305aa3
Difference Hash:552033332221070f
Wavelet Hash:fdffc080f3d0c380
Color Hash:#2dd264

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data