Summary
This website contacted 10 IPs in 3 countries across 10 domains to perform 2 HTTP transactions. The main domain is businessday.co.za and was registered NaN years ago.
Submitted URL: https://www.businessday.co.za/companies/2026-06-26-hm-closes-stores-to-pursue-a-leaner-more-profitable-model/
The Cisco Umbrella rank of the primary domain is #838,243 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 80%
Legitimate news article; no malicious activity detected.
Safety Factors
Details
Page Title
H&M is opening 90 shops this year and closing 170 as online grows
Scan Type
public
Language
English
Category
social media network
(89%)Domain Information
Within the South African country-code top-level domain (.co.za), 'www.businessday.co.za' is registered and includes subdomain 'www'. Count 11 characters in 'businessday' split between four vowels and 7 consonants. Tokenizing the label suggests 2 words: business, day. Median word length comes out to 5.5 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 21 | 142.251.14.155 | United States | AS15169Google LLC |
| 20 | 142.251.20.207 | United States | AS15169Google LLC |
| 20 | 216.239.38.223 | United States | AS15169Google LLC |
| 20 | 185.141.128.151 | France | AS48402Viously SAS |
| 20 | 172.67.71.49 | United States | AS13335Cloudflare, Inc. |
| 20 | 2.16.206.16 | Hamburg, Free and Hanseatic City of Hamburg, Germany | AS20940Akamai International B.V. |
| 20 | 2.16.10.138 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 20 | 172.67.212.172 | United States | AS13335Cloudflare, Inc. |
| 20 | 192.178.170.95 | United States | AS15169Google LLC |
| 20 | 18.245.63.132 | United States | AS16509Amazon.com, Inc. |
| 201 | 10 | - | - |
Detected Technologies8
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data