Security Scan Report: www.mtn.co.za

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Submitted: Nov 27, 2025, 11:24:45 AMCompleted: Nov 27, 2025, 11:28:38 AMpubliccompleted
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Summary

This website contacted 16 IPs in 3 countries across 7 domains to perform 146 HTTP transactions. The main domain is mtn.co.za and was registered NaN years ago.

Submitted URL: https://www.mtn.co.za/shop/deals/device/contract/preowned/iphone-14-128gb/1-QYEDUFF

The Cisco Umbrella rank of the primary domain is #402,285 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page appears legitimate with no security concerns.

Safety Factors
Domain age over 30 years (well‑established)
Official MTN South Africa domain
No credential or payment forms detected
No malicious Indicators of Compromise matches
Domain age information unavailable

Details

Page Title

Preowned - iPhone 14 128GB - MTN South Africa

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(42%)

Domain Information

The domain 'www.mtn.co.za' uses the South African country-code top-level domain (.co.za) and includes subdomain 'www'. The registrable portion 'mtn' spans 3 characters split between 0 vowels and 3 consonants. Splitting it apart reveals 1 word: mtn. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.mtn.co.za/shop/deals/device/contract/preowned/iphone-14-128gb/1-QYEDUFF

Page Load Overview

3.51s
Total Load Time
146
HTTP Requests
7
Domains
951 KB
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:3,542 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software42% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
42%
e-commerce
20%

Detected Features

Products

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
83196.13.230.184South Africa
AS12091MTNNS-1
43104.18.21.156United States
AS13335CLOUDFLARENET
9104.18.20.156United States
AS13335CLOUDFLARENET
9216.239.34.36United States
AS15169GOOGLE
92001:4860:4802:34::36United States
AS15169GOOGLE
92606:4700::6812:149cUnited States
AS13335CLOUDFLARENET
92001:4860:4802:32::36United States
AS15169GOOGLE
92a00:1450:4001:801::2002Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
92a00:1450:4001:811::2008Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
92606:4700::6812:159cUnited States
AS13335CLOUDFLARENET
14616--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T183A24269DF3CE16E124BCD4ED8567C460384C811C0178B89778EDB69ABCCBA748F968D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:c49rZAI4ynM0IRjkT6lJsDqVHI8+8DIA4ce/Ls:c4N+IVnfWSA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21609:T6wEIDNZaQygJiCCA3smZoEACDRwIK0BhSlDBAQQ8mwwgGgAwCPHGwicEJEgJMM4ViBQHKlFAh26SACyOlrZWEJABAX2RKAC

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:7f0000000000ffff
Perceptual Hash:8707870787877cf8
Difference Hash:4040000000000000
Wavelet Hash:ffff00000000ffff
Color Hash:#b36ce0

Other Hashes

Crop Resistant:4040000000000000

Scan History

Scan history not available

Unable to load historical scan data