Security Scan Report: africafirstclub.com

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Submitted: Oct 3, 2026, 3:28:21 PMCompleted: Oct 3, 2026, 3:28:58 PMpubliccompleted

This website contacted 6 IPs in 2 countries across 3 domains to perform 43 HTTP transactions. The main domain is africafirstclub.com and was registered 13 years ago.

Submitted URL: https://africafirstclub.com/read/expansion-des-brics-veto-de-l-inde-et-du-bresil

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Established Cameroonian think-tank site (3+ years old) serving a French news article on BRICS. Self-branded, no impersonation, no credential/payment forms, no Indicators of Compromise or malware signals.

Safety Factors (5)
Domain age over 3 years (well-established)
Self-branding matching the domain; article content reporting on third parties, not impersonating them
No password, payment or disguised-credential fields; forms are standard comment/newsletter
No Indicators of Compromise, no YARA malware patterns, no network IDS alerts
No cross-origin credential forms and no credential exfiltration; all JavaScript served from the site's own domain
Domain age information unavailable

Details

Page Title

Expansion des BRICS : veto de l'Inde et du Brésil.

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'africafirstclub.com' is registered and has no subdomain. Its registrable label 'africafirstclub' stretches across 15 characters with five vowels and 10 consonants. Word splitting yields three words: africa, first, club. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://africafirstclub.com/read/expansion-des-brics-veto-de-l-inde-et-du-bresil

Page Load Overview

3.21s
Total Load Time
5.1 MB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:fr
Text Length:6,708 chars
Detector Agreement:80%

Website Classification

Primary Category

government public service85% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
85%
adult content
63%
news media journalism
60%
corporate business
59%
finance banking
40%

Detected Features

Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8185.98.131.195France
AS210403Groupe LWS SARL
7188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
716.15.0.173Aws · CLOUDSan Jose, California, United States
AS16509Amazon.com, Inc.
7188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
716.15.0.81Aws · CLOUDSan Jose, California, United States
AS16509Amazon.com, Inc.
752.219.192.0Aws · CLOUDSan Jose, California, United States
AS16509Amazon.com, Inc.
436--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1987352B39CE4103B0993D4D4EAA07B59EF919607EA0BD940B2FC47C4AFC6DA2941376D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:TeTeJc0oMyeN5/F6OGRCHis7qs7k7hJVo4vLJi6jXWRuq1vt5cl+GerG7/j5PJBj:Jc5M4hz/qRt5cl+ahByDMgj0/zPZoZS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:75909:iDAVoBJSURBBUtkAAKgEwKXxBIgFLTggkATD5xTR0GYsnVCIQ5ADKQkCJFMEdgENhEvAVFDgATIhKkA1JKIghuG6AwBASZAL

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:fffffffff6ff9f87
Perceptual Hash:b8c338c738c73867
Difference Hash:d3f3dbe3e4c2333b
Wavelet Hash:7979797970781901
Color Hash:#785b3a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data