Security Scan Report: www.must.ac.mw

Site favicon
Submitted: Dec 10, 2025, 6:35:46 AMCompleted: Dec 10, 2025, 6:36:28 AMpubliccompleted
Loading additional data...

Summary

This website contacted 21 IPs in 2 countries across 8 domains to perform 34 HTTP transactions. The main domain is must.ac.mw.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university website with no detected security threats.

Safety Factors
Official academic domain (must.ac.mw) likely owned by Malawi University of Science and Technology
No suspicious forms or data collection fields
Unranked status not a concern for a regional academic institution
Domain age information unavailable

Details

Page Title

Malawi University of Science and Technology (MUST) - Where Excellence Reigns

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(53%)

Domain Information

The domain 'www.must.ac.mw' uses the .ac.mw country-code top-level domain; it also runs on subdomain 'www'. The core label 'must' covers 4 characters containing 1 vowel alongside three consonants. Segmentation suggests 1 word: must. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

8.36s
Total Load Time
34
HTTP Requests
8
Domains
12.3 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:4,453 chars
Detector Agreement:80%

Website Classification

Primary Category

education learning53% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
53%
documentation technical
36%
government public service
32%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14104.18.0.22United States
AS13335CLOUDFLARENET
1136.243.42.90Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
1142.250.185.163United States
AS15169GOOGLE
134.29.140.80Council Bluffs, Iowa, United States
AS396982GOOGLE-CLOUD-PLATFORM
1104.18.1.22United States
AS13335CLOUDFLARENET
1104.17.25.14United States
AS13335CLOUDFLARENET
1216.58.206.72United States
AS15169GOOGLE
1142.251.140.170United States
AS15169GOOGLE
1216.239.32.36United States
AS15169GOOGLE
1216.239.34.36United States
AS15169GOOGLE
3421--

Detected Technologies2

100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A07343241BF0103B4553C1F6F7B1EF1EAEAB9447D9175909F2AD0A52AFC3C9189437A8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:ZsQn/W0FqBH9sMLYicTFjGG4pKGEK0KYjnGVDLPG87xNGxucv:ZscFqBSMLYZTkG4pcDdnB8tNGEi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:74213:rkV1gBkizAEgQGLQ+BtVAUArJsaAZipgIoB6MgAg5EUHiJKQEolMQhAghBIBIEFFAwNuQQmWoV2p6wBjTJIZS5BEIPEngiIA

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:ff0f00000000ffff
Perceptual Hash:9225c85af5e0137f
Difference Hash:86fdfe9e7e79fdc9
Wavelet Hash:ff1f03020000ffff
Color Hash:#a1c587

Scan History

Scan history not available

Unable to load historical scan data