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Security Scan Report: um.edu.mt

Redirected to: https://www.um.edu.mt/

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Submitted: Jan 29, 2026, 11:48:17 PMCompleted: Jan 29, 2026, 11:49:25 PMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 6 domains to perform 88 HTTP transactions. The main domain is um.edu.mt.

Submitted URL: https://um.edu.mt

Effective URL: https://www.um.edu.mt/Redirected

The Cisco Umbrella rank of the primary domain is #428,279 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 68%

5
Risk Score

Moderate risk due to unknown domain age; site appears legitimate but verify independently.

Risk Factors
Domain age unknown – cannot verify how long the site has been registered
Low Cisco Umbrella ranking (428,279) for a site claiming an official institutional brand
Safety Factors
No malicious Indicators of Compromise matches
No password, email, or payment fields present
Meta tags and page content consistently reference the University of Malta
HTTPS is used (secure connection)
Only a single redirect to the canonical www.um.edu.mt domain
Domain age information unavailable

Details

Page Title

L-Università ta' Malta

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(52%)

Domain Information

Domain 'um.edu.mt' uses the Maltese country-code top-level domain (.edu.mt) and has no subdomain. Its registrable label 'um' stretches across 2 characters split between one vowel and one consonant. Word splitting yields 1 word: um. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://um.edu.mt

Page Load Overview

5.19s
Total Load Time
92
HTTP Requests
12
Domains
7.6 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:4,844 chars
Detector Agreement:75%

Website Classification

Primary Category

government public service52% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
52%
education
45%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20184.24.77.141Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
18142.250.185.136United States
AS15169Google LLC
18157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
18193.188.46.240Birkirkara, Birkirkara, Malta
AS12046Malta Internet Foundation
18184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
925--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BF73F73179D4043B413352C87575AF28A673E30BDA079D85B2FC4B66AFC8E6528137AE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:kr/gFb/kDFXqvBZHpr+Wlsu1nSSYa4GcN2sy/z:k8hkBXqvBZHUWlga4GV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:79782:CrG6NDIIFiIKhQCgCCaAAQEJVhoxoVCyATOkBylYAa9EQgMbcBI6EACigAhGBAc/CC4GIDggS1VAVEtkAD5UlAABQJECAQEC

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:ffff00001000003c
Perceptual Hash:cabd92edc23a4349
Difference Hash:39384a28d05071d1
Wavelet Hash:ffffe800f800007f
Color Hash:#c3d279

Other Hashes

Crop Resistant:39384a28d05071d1,8000803074900080,800080b0b4b08080,0121c4d4d4c42301,ca6aa0d25002d0d8

Scan History

Scan history not available

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