Security Scan Report: unamur.be

Redirected to: https://unamur.be/fr

Submitted: Jan 27, 2026, 11:18:23 AMCompleted: Jan 27, 2026, 7:29:04 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 106 HTTP transactions. The main domain is unamur.be and was registered NaN years ago.

Submitted URL: https://unamur.be

Effective URL: https://unamur.be/frRedirected

The Cisco Umbrella rank of the primary domain is #539,141 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Université de Namur

Scan Type

public

Domain Information

You're looking at domain 'unamur.be' on the Belgian country-code top-level domain (.be) while skipping any subdomain. Count 6 characters in 'unamur' split between 3 vowels and three consonants. Word splitting yields two words: u, namur. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://unamur.be

Page Load Overview

53.87s
Total Load Time
106
HTTP Requests
3
Domains
2.1 MB
Total Size

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
36104.20.20.192United States
AS13335Cloudflare, Inc.
35138.48.5.222Etterbeek, Brussels Capital, Belgium
AS2611BELNET
35104.18.0.22United States
AS13335Cloudflare, Inc.
1063--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18544A61150E419360082A6E27639DB38EB52D48BEB0D2548BAFC0BADEFD6D715F5732C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:AKNir4uUMxbVbfSwoMH6Dfn/wveOT4rPOAzlF+hlf2696jYfF:AKtwoMHcfW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:273779:BgylRYQAgiOqoRdNaZ7lBSTBLcABZMiBQCKYADFBVIAQrCBQIBQQ8MxgvxYZCARmECEKcgNBpwSwSA8IAARDHEEPmMI0WxFo

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:fc00400008fcfcfc
Perceptual Hash:d225dadc1de2e229
Difference Hash:78dc8dce70118909
Wavelet Hash:fe0240001cfcfcff
Color Hash:#86442d

Scan History

Scan history not available

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