Security Scan Report: www.go2africa.com

Submitted: Oct 11, 2025, 6:34:27 PMCompleted: Oct 11, 2025, 6:38:00 PMpubliccompleted
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Summary

This website contacted 247 IPs in 10 countries across 80 domains to perform 393 HTTP transactions. The main domain is go2africa.com and was registered NaN years ago.

Submitted URL: https://www.go2africa.com/african-travel-blog/namibia-vs-south-africa-safari

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Established domain with decades of history
Standard newsletter sign‑up form only (email field)
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

Which Is Better: South Africa vs Namibia Safari | Go2Africa

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

news/blog

(40%)

Domain Information

Domain 'www.go2africa.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. The second-level label 'go2africa' is 9 characters long containing four vowels alongside 4 consonants; bonus characters include one digit. Tokenizing the label suggests three words: go, 2, africa. Median word length is two characters. 'go' most often appears in Chinese (Pinyin). You will also see it in English and Chinese (Zhuyin) contexts.

Screenshot

Security scan screenshot of https://www.go2africa.com/african-travel-blog/namibia-vs-south-africa-safari

Page Load Overview

4.64s
Total Load Time
393
HTTP Requests
80
Domains
3.3 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:32,944 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog40% confidence
Type: static
Method: structural

All Detected Categories

news/blog
40%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
101162.159.137.54United States
AS13335CLOUDFLARENET
17157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
937.27.64.98Helsinki, Uusimaa, Finland
AS24940Hetzner Online GmbH
9104.18.18.62United States
AS13335CLOUDFLARENET
8104.18.94.41United States
AS13335CLOUDFLARENET
8172.67.73.221United States
AS13335CLOUDFLARENET
752.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
6104.26.10.19United States
AS13335CLOUDFLARENET
5104.17.25.14United States
AS13335CLOUDFLARENET
5104.17.94.19United States
AS13335CLOUDFLARENET
393247--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12BB4D8F26945802B0A67C3C1B530FB8D9017F83ACE4549C8E7E566DCE3D0EE36A1D65A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:cEkK7sa1qD9/+cLy223YuqYanQNfNqNXNMNBNLN9Ni:HkK7sa1qD9/+cLyTYuq/QNfNqNXNMNB6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500059:yOcYIBIAAKwWIM3gADWBKcAALQIpQzEEP0AoDKDASgXhQgSNASQQQEQTBgphVJDcoAQJzgNAIpnJuFQggQBKLIC6gQlmArOE

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:ff00001818ffffff
Perceptual Hash:9800f39d8db75758
Difference Hash:729494f2b37108b4
Wavelet Hash:bf000018181fffff
Color Hash:#1f2593

Scan History

Scan history not available

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