Security Scan Report: www.forbes.com.au

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Submitted: Nov 6, 2025, 11:48:06 AMCompleted: Nov 6, 2025, 11:49:16 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 1 domain to perform 2 HTTP transactions. The main domain is forbes.com.au and was registered NaN years ago.

Submitted URL: https://www.forbes.com.au/news/billionaires/the-top-10-richest-people-in-the-world-november-2025/

AI Security Verdict

Low Risk

Confidence: 70%

3
Risk Score

New, unranked site showing only an error page; no direct threats detected.

Risk Factors
Very new domain (<7 days) increases likelihood of malicious use
Unranked domain may indicate low reputation
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise matches found
Page returns an error page rather than malicious content
Domain age information unavailable

Details

Page Title

The Top 10 Richest People In The World (November 2025)

Scan Type

public

Language

🇧🇩

BN

(100% confidence)

Category

other

(29%)

Domain Information

The domain name 'www.forbes.com.au' uses the Australian country-code top-level domain (.com.au); it also runs on subdomain 'www'. The core label 'forbes' covers 6 characters holding 2 vowels versus 4 consonants. Word splitting yields one word: forbes. 'forbes' most often appears in Bosnian. Secondary signals appear in Catalan and Czech.

Screenshot

Security scan screenshot of https://www.forbes.com.au/news/billionaires/the-top-10-richest-people-in-the-world-november-2025/

Page Load Overview

6.03s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:100%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:100%
Script Type:Unknown
Text Length:26,328 chars
Detector Agreement:100%

Website Classification

Primary Category

other29% confidence
Type: static
Method: ml+structural

All Detected Categories

other
29%
news
15%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1192.0.66.121San Francisco, California, United States
AS2635AUTOMATTIC
12a04:fa87:fffd::c000:4279Ireland
AS2635AUTOMATTIC
22--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15FF33CA2939C007B271B02E6B198B758761EC475CB084AD5F6FDD128ABC5DFD06B328D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:RCD4cM9MgM2o3mOmk8xSiPuX04krSRSYe:R9Mg9o3mOmk8xSP04YSIYe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:163643:0DgGgAyQQN0EGRqMAEESMIQgYQCIVxEkBIWARSBZAIAQAjCIDnhGLYJGFyAALPGWDfUABMGKBOBxBAAQYYFKCSYWGBECIGAI

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:00ffffffc3c3c300
Perceptual Hash:a49b0e641b764e79
Difference Hash:8a74969696068655
Wavelet Hash:0097ffefc3c3c300
Color Hash:#4c783a

Scan History

Scan history not available

Unable to load historical scan data