Security Scan Report: w.appzi.io

Submitted: Apr 2, 2026, 7:01:07 AMCompleted: Apr 2, 2026, 7:02:49 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 w.appzi.io and was registered NaN years ago.

Submitted URL: https://w.appzi.io

The Cisco Umbrella rank of the primary domain is #73,860 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 403 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

unknown

(0%)

Domain Information

Domain 'w.appzi.io' uses the British Indian Ocean Territory country-code top-level domain (.io); it also runs on subdomain 'w'. The second-level label 'appzi' is 5 characters long with two vowels and 3 consonants. Tokenizing the label suggests 2 words: app, zi. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://w.appzi.io

Page Load Overview

0.27s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:51%
Script Type:Latin
Text Length:226 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
235.244.222.52Kansas City, Missouri, United States
AS396982Google LLC
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DE4188A5EAA318651137C9F01AFE676632DBC037C19A2314FA9C6398DFC9D40B811901

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:ca7PiFWN1QGTUe0427F9HAk1ncqugukVPANyqgrtF:niFWN15AN427zHXczgumPANFgrtF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2376:ACAAEQAEAAQABAQMEQEBgIAABEkIAAAgAAAAIBACAoEABAIAAEKIARJAAABEAAQAABACAAJAEAlIACIACAAIAAAICAICAgAB

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:8909091d1f1f1f3f
Difference Hash:f000000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#b3e06c

Other Hashes

Crop Resistant:f000000000000000

Scan History

Scan history not available

Unable to load historical scan data