ScanMalware.com

Security Scan Report: commonwealthvault.co.nz

Submitted: Oct 23, 2025, 10:42:12 AMCompleted: Oct 23, 2025, 10:45:15 AMpubliccompleted
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Summary

This website contacted 20 IPs in 1 country across 3 domains to perform 25 HTTP transactions. The main domain is commonwealthvault.co.nz.

Submitted URL: https://commonwealthvault.co.nz/price-chart/

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

Site shows a circular redirect and is unranked but lacks malicious content; low risk.

Risk Factors
Circular redirect detected indicating possible URL manipulation
Domain is unranked in Cisco Umbrella, which can be a weak indicator of low reputation
Safety Factors
No malicious Indicators of Compromise matches found
No credential or payment collection forms present
Access is blocked by a 403 Forbidden response
Domain age information unavailable

Details

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Page Title

Robot Challenge Screen

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(42%)

Domain Information

The domain 'commonwealthvault.co.nz' uses the New Zealand country-code top-level domain (.co.nz) and has no subdomain. The second-level label 'commonwealthvault' is 17 characters long split between 6 vowels and 11 consonants. It segments into two words: commonwealth, vault. Median word length is 8.5 characters. 'commonwealth' most often appears in English. Secondary signals appear in Chinese (Pinyin) and Indonesian.

Screenshot

Security scan screenshot of https://commonwealthvault.co.nz/price-chart/

Page Load Overview

1.41s
Total Load Time
25
HTTP Requests
3
Domains
40 KB
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:105 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content42% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
42%
documentation technical
37%
news media journalism
33%
blog personal website
30%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17104.21.4.115United States
AS13335CLOUDFLARENET
4104.16.80.73United States
AS13335CLOUDFLARENET
2108.138.2.34United States
AS16509AMAZON-02
1172.67.132.8United States
AS13335CLOUDFLARENET
1108.138.2.71United States
AS16509AMAZON-02
1104.16.79.73United States
AS13335CLOUDFLARENET
1108.138.2.209United States
AS16509AMAZON-02
12600:9000:2490:2000:5:acf3:db40:21United States
AS16509AMAZON-02
12600:9000:2490:9600:5:acf3:db40:21United States
AS16509AMAZON-02
12600:9000:2490:1800:5:acf3:db40:21United States
AS16509AMAZON-02
2520--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DC83EFEC37600ED8CC9686D2277821493847B4EDE4904551F25E2BE4FF8B99E4AE178F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:9BQS0tz0jiTbitkDfLMerF89xSuvcOKNGYUxYo3myMRdQmoq:9m/itkDfLKKsq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:88443:RgOAoUOkuCBTEwUFEIHQCAESrQSEsiRJMlIAAStIODIhAEgZyghxkBRxBEBaKAFCImCnDsDRMY0GBNcHQOURpmaKKgMCiDEA

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:0000000000ffffff
Perceptual Hash:dd029add22b2fd22
Difference Hash:11310a4d32320022
Wavelet Hash:081808009affffff
Color Hash:#6ce096

Other Hashes

Crop Resistant:11310a4d32320022

Scan History

Scan history not available

Unable to load historical scan data