Security Scan Report: businessreport.co.za

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Submitted: Jan 4, 2026, 12:35:44 PMCompleted: Jan 4, 2026, 12:37:35 PMpubliccompleted
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Summary

This website contacted 18 IPs in 3 countries across 15 domains to perform 88 HTTP transactions. The main domain is businessreport.co.za and was registered NaN years ago.

Submitted URL: https://businessreport.co.za/entertainment/music/2026-01-03-jill-scott-returns-to-neo-soul-with-new-album-after-decade-long-wait/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration
Unranked status mitigated by extensive age and reputable content
Absence of suspicious forms or data collection
Domain age information unavailable

Details

Page Title

Jill Scott returns to neo-soul with new album after decade-long wait

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

The domain 'businessreport.co.za' uses the South African country-code top-level domain (.co.za) while skipping any subdomain. The second-level label 'businessreport' is 14 characters long with five vowels and nine consonants. Tokenizing the label suggests 2 words: business, report. The median word length lands at seven characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://businessreport.co.za/entertainment/music/2026-01-03-jill-scott-returns-to-neo-soul-with-new-album-after-decade-long-wait/

Page Load Overview

12.39s
Total Load Time
123
HTTP Requests
14
Domains
2.6 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
Text Length:3,367 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate
35%
entertainment media
32%
news/blog
30%
social media network
26%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21216.239.34.21United States
AS15169GOOGLE
6157.240.0.63Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
6142.251.141.65Switzerland
6142.250.185.200United States
AS15169GOOGLE
6216.239.32.36UnknownUnknown
6216.239.38.21United States
AS15169GOOGLE
664.233.184.157United States
AS15169GOOGLE
6146.75.121.44Frankfurt am Main, Hesse, Germany
AS54113FASTLY
6142.250.185.162United States
AS15169GOOGLE
664.233.184.156UnknownUnknown
12318--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E8D33B2FF400C917D6379F5DAE3A6D3EB089C43F43B14434E9EDCA19464287A8BB9586

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:wP09E5jvjOtDCuyqJIXFDTSKce98NYxFrJ4Y4eDhJTNNKHDtGEwyHiDzqJSkvX/6:99E5I+eoFDHxR9DhJTNNKHDtC6i

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:140244:UomOCxSKkgk0Z1LMQYLSAIgmHimoCwSQHBPgknGAFAYiEcgBgE0wAZFoEQcABARXsggAChIUEKQSEx+oEA0SYsIgHIAPpAhQ

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:ffffffc7878787c7
Perceptual Hash:b0cdc732c731cd32
Difference Hash:cc36323f2d3d1d3d
Wavelet Hash:66fa838387878787
Color Hash:#86642d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data