Security Scan Report: magazine.mkur.ac.rw

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Submitted: Nov 4, 2025, 11:08:55 PMCompleted: Nov 4, 2025, 11:10:47 PMpubliccompleted
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Summary

This website contacted 14 IPs in 2 countries across 7 domains to perform 85 HTTP transactions. The main domain is magazine.mkur.ac.rw and was registered NaN years ago.

Submitted URL: https://magazine.mkur.ac.rw/from-barrancas-to-munich-the-incredible-journey-of-luis-diaz/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
University subdomain (mkur.ac.rw) suggests institutional ownership
Content is a standard news article with no suspicious requests
Domain age information unavailable

Details

Page Title

From Barrancas to Munich: The incredible journey of Luis Diaz - MKU Magazine

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

healthcare medical

(63%)

Domain Information

You're looking at domain 'magazine.mkur.ac.rw' on the .ac.rw country-code top-level domain and includes subdomain 'magazine'. The second-level label 'mkur' is 4 characters long holding 1 vowel versus three consonants. Splitting it apart reveals two words: m, kur. Expect 2 characters per word on average. Most frequently, 'm' shows up in Lithuanian. It also appears in Catalan and Chinese (Zhuyin) contexts. Net impression: Lithuanian phrase.

Screenshot

Security scan screenshot of https://magazine.mkur.ac.rw/from-barrancas-to-munich-the-incredible-journey-of-luis-diaz/

Page Load Overview

64.75s
Total Load Time
85
HTTP Requests
7
Domains
1.9 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:4,544 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical63% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
63%
social media network
43%
corporate
35%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7142.250.186.174United States
AS15169GOOGLE
6216.239.34.36United States
AS15169GOOGLE
6172.217.18.8United States
AS15169GOOGLE
6170.10.161.42United States
AS14555LIQUIDNETLTD1
6216.58.206.42United States
AS15169GOOGLE
6216.239.32.36United States
AS15169GOOGLE
6142.250.185.163United States
AS15169GOOGLE
6192.0.77.48San Francisco, California, United States
AS2635AUTOMATTIC
62001:4860:4802:32::36United States
AS15169GOOGLE
62a00:1450:4001:810::200eFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
8514--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15193A4617DAB0836221F028F8427724CE09B89F6F91069E5F6F7902467B1EE437E3756

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:I5kbeaeDN6apw4e67+3fQL7ihVvN2mom2KColWw14ihDsXBP6aorjjbwZ6I8owEr:IMefu4e67+F3NNNCAl14ihDsXBPDorjK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:97619:AOLRqAAhkA/EgA5SrAIdQMalthFUWARyHSEEFCApQqKoJCBRoOCmIRECgAshCQotAM4hAhwIIAGmo1EFQAQXhAA9pFwBOoCm

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:df00ffe7ffc3c3c3
Perceptual Hash:b48b2538a7a665c7
Difference Hash:3633c51c1e8e8e86
Wavelet Hash:0200ffc7cfc3c3c3
Color Hash:#1f933a

Scan History

Scan history not available

Unable to load historical scan data