Security Scan Report: style.nine.com.au

Submitted: Nov 15, 2025, 5:11:56 PMCompleted: Nov 15, 2025, 5:14:14 PMpubliccompleted
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Summary

This website contacted 20 IPs in 2 countries across 16 domains to perform 62 HTTP transactions. The main domain is style.nine.com.au.

Submitted URL: https://style.nine.com.au/latest/bambi-awards-cate-blanchett-world-first-plant-based-dress-stella-mccartney/b2afbadf-c4c1-4f2d-859f-de821ca9b7fb

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate site with no security concerns.

Safety Factors
Established brand subdomain (nine.com.au)
No suspicious redirects or external links
No credential or payment collection fields
Domain age information unavailable

Details

Page Title

Cate Blanchett dons 'world first' plant-based Stella McCartney piece at the BAMBI awards in Munich - 9Style

Scan Type

public

Domain Information

Within the Australian country-code top-level domain (.com.au), 'style.nine.com.au' is registered; it also runs on subdomain 'style'. Its registrable label 'nine' stretches across 4 characters containing two vowels alongside two consonants. Tokenizing the label suggests one word: nine. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://style.nine.com.au/latest/bambi-awards-cate-blanchett-world-first-plant-based-dress-stella-mccartney/b2afbadf-c4c1-4f2d-859f-de821ca9b7fb

Page Load Overview

127.37s
Total Load Time
62
HTTP Requests
16
Domains
2.2 MB
Total Size

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.250.185.130United States
AS15169GOOGLE
3142.250.185.168United States
AS15169GOOGLE
3146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113FASTLY
318.66.112.56United States
AS16509AMAZON-02
313.226.244.77United States
AS16509AMAZON-02
313.226.244.108United States
AS16509AMAZON-02
334.107.145.46Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
3146.75.122.27Frankfurt am Main, Hesse, Germany
AS54113FASTLY
33.160.150.64United States
AS16509AMAZON-02
323.32.97.127Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
6220--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F3745DA2A3D053FA026705C9BDE3BB583170B159E59953E4F26BBB3C4FFB449242304A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:ujEmTN6wwJCDDV2iUuZ7zRVnVy5ub2NIAy4guMeAaMcBv:ueuZ7zDVycAyL+Bv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:340137:QdJUsgAC4EIgxAJGtZwAABRAIAhLyAoMgkgkKjL2KFCsRBCRUioSBQCMgWFGUzAgGZTGPisIAMOEqEAhBEGDQMwBjOIYAQ0I

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:00ff8787c7c7c7c7
Perceptual Hash:b44fcb454d363b30
Difference Hash:4f082f2e1e0f0d1d
Wavelet Hash:00ff878383c3c7c7
Color Hash:#e0946c

Scan History

Scan history not available

Unable to load historical scan data