Security Scan Report: www.forbesafrica.com

Redirected to: https://www.forbesafrica.com/

Submitted: Nov 4, 2025, 3:40:58 PMCompleted: Nov 4, 2025, 3:42:40 PMpubliccompleted
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Summary

This website contacted 6 IPs in 1 country across 1 domain to perform 60 HTTP transactions. The main domain is forbesafrica.com and was registered NaN years ago.

Submitted URL: https://www.forbesafrica.com/current-affairs/2025/11/04/jeff-bezos-becomes-10-billion-richer-as-amazons-openai-deal-boosts-stock

Effective URL: https://www.forbesafrica.com/Redirected

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Jeff Bezos Becomes $10 Billion Richer As Amazon’s OpenAI Deal Boosts Stock - Forbes Africa

Scan Type

public

Language

🇺🇸

English

(55% confidence)

Category

news media journalism

(57%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.forbesafrica.com' is registered, featuring subdomain 'www'. The core label 'forbesafrica' covers 12 characters containing five vowels alongside 7 consonants. Breaking it apart gives two words: forbes, africa. Expect six characters per word on average. 'forbes' is most common in English usage. It also appears in Romanian and Chinese (Pinyin) contexts. Net impression: English phrase.

Screenshot

Security scan screenshot of https://www.forbesafrica.com/current-affairs/2025/11/04/jeff-bezos-becomes-10-billion-richer-as-amazons-openai-deal-boosts-stock

Page Load Overview

68.27s
Total Load Time
60
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:55%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:55%
Script Type:Latin
HTML Lang Attribute:en
Text Length:206 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism57% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
57%
entertainment media
46%
adult content
40%
documentation technical
29%
government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10104.26.7.171United States
AS13335CLOUDFLARENET
10172.67.70.124United States
AS13335CLOUDFLARENET
10104.26.6.171United States
AS13335CLOUDFLARENET
102606:4700:20::681a:7abUnited States
AS13335CLOUDFLARENET
102606:4700:20::ac43:467cUnited States
AS13335CLOUDFLARENET
102606:4700:20::681a:6abUnited States
AS13335CLOUDFLARENET
606--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19EB36EB507A0487A801388C7B791BF4DE0AF3106D79948A9D7BC857AC7CECB66B1578C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:mtt8R874q1Ts8VL4ggYj3YjEYjkYjyYjbYjVYj1vIecf9kZAcUfPeIO5zxrxjtS0:Nis8VLWvIrfPu6Ihk0FlA5Zo5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:116234:gCUCAJcBEo2QovAgoBC0+AEFjMQcSAyANJlIiBRXYlAh0xYQJVhouVTkAhSgCBGYSBJEhgIlCIBSBCIqASQ6IEGBAQQgSPGB

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:00ffe7c3c3c3ffff
Perceptual Hash:b41a9b74645f6d0a
Difference Hash:979d978687966005
Wavelet Hash:0001c3c383c3ffff
Color Hash:#2f1f93

Scan History

Scan history not available

Unable to load historical scan data