Security Scan Report: supermarketnews.co.nz

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Submitted: Dec 7, 2025, 11:15:28 PMCompleted: Dec 7, 2025, 11:16:43 PMpubliccompleted
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Summary

This website contacted 46 IPs in 2 countries across 19 domains to perform 146 HTTP transactions. The main domain is supermarketnews.co.nz.

Submitted URL: https://supermarketnews.co.nz/beverage/coca-cola-nz-backs-grassroots-charities/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page appears to be a legitimate news article with no security concerns.

Safety Factors
Legitimate news website domain
No suspicious redirects or hidden fields
No collection of sensitive data
Domain age information unavailable

Details

Page Title

Coca-Cola NZ Backs Grassroots Charities - Supermarket News

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(72%)

Domain Information

The domain name 'supermarketnews.co.nz' uses the New Zealand country-code top-level domain (.co.nz). The second-level label 'supermarketnews' is 15 characters long containing 5 vowels alongside ten consonants. Tokenizing the label suggests two words: supermarket, news. Expect 7.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://supermarketnews.co.nz/beverage/coca-cola-nz-backs-grassroots-charities/

Page Load Overview

40.23s
Total Load Time
146
HTTP Requests
19
Domains
3.9 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-AU
Text Length:5,018 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical72% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
72%
news media journalism
66%
e-commerce shopping
59%
government public service
58%
adult content
58%

Detected Features

Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11142.250.184.206United States
AS15169GOOGLE
33.174.46.66United States
AS16509AMAZON-02
318.66.102.51United States
AS16509AMAZON-02
33.174.46.81United States
AS16509AMAZON-02
365.9.175.27United States
AS16509AMAZON-02
3192.0.76.3San Francisco, California, United States
AS2635AUTOMATTIC
3192.0.77.37San Francisco, California, United States
AS2635AUTOMATTIC
3142.250.186.163United States
AS15169GOOGLE
33.174.46.10United States
AS16509AMAZON-02
334.200.75.8Ashburn, Virginia, United States
AS14618AMAZON-AES
14646--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T198931A77A9AD043E6225468FE0157B18C1479AF7CA45ED477BFDA048B781FE40A32E8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jDIFpxypWJbwsqachLQnpMLTMNKamWGxn7d0KpMdGUkoyXaGJRFYfVoPYGveavw1:jDIFpsMbTq85bmV0KpMdGUkoyqGJRFYB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:97384:IYRIgiktEkGkxhwQFBVgCwAZxAs4osE3AJAAhAZCU3AEEIcCowuAIERxgFAm7AB/sA0GAAQCmVJokIRTFCSCGIUZITUIyBaR

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:83c7ffffc3c3c3c3
Perceptual Hash:bcc3313c47cb1e43
Difference Hash:0e0e0e0e2737130f
Wavelet Hash:00c3ffffc3838381
Color Hash:#3a7878

Scan History

Scan history not available

Unable to load historical scan data