Security Scan Report: www.mubas.ac.mw

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Submitted: Dec 10, 2025, 6:45:58 AMCompleted: Dec 10, 2025, 6:46:53 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 2 domains to perform 66 HTTP transactions. The main domain is mubas.ac.mw.

Submitted URL: https://www.mubas.ac.mw/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears to be a legitimate university website with no security concerns.

Safety Factors
Official academic domain (.ac.mw)
No malicious Indicators of Compromise detected
No suspicious forms or data collection
Page content aligns with expected university information
Domain age information unavailable

Details

Page Title

Welcome to MUBAS | Malawi University of Business and Applied Sciences

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(90%)

Domain Information

The domain 'www.mubas.ac.mw' uses the .ac.mw country-code top-level domain and includes subdomain 'www'. The second-level label 'mubas' is 5 characters long containing two vowels alongside 3 consonants. Breaking it apart gives 2 words: mu, bas. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.mubas.ac.mw/

Page Load Overview

23.58s
Total Load Time
66
HTTP Requests
2
Domains
15.4 MB
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:4,092 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning90% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
90%
news media journalism
69%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6641.70.48.14Zomba, Southern Region, Malawi
AS37215MAREN
661--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FE23A5B4538129770243CBE7F530BB1AA1FA9ACADD4B58A1F5FC434897C1D90CF62664

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:HTLxCwQYv5xZZVKL4pvaEGzHBNRSl/NMef5X1WIwK0j3SQ6srL15MUOrawBnJnbr:HTLxCwQYv5xZZVKL4pvaEGzHBNRSt2eF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:46725:LeAiiFIJEBYYuYBAKqXCCgEGsSmxIAIbJVJhSTFEtBAgBmUIiQVC0AIEwHRG7gKU5JHRxM4EWGjQRRQFIKIkIFABg0BIhRUG

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:00000800a0fcffff
Perceptual Hash:cb11b4466e915b9e
Difference Hash:f499993b636a402b
Wavelet Hash:00000829b1ffffff
Color Hash:#ac5397

Scan History

Scan history not available

Unable to load historical scan data