Security Scan Report: ciencias.ulisboa.pt

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Submitted: Jun 3, 2026, 5:59:07 AMCompleted: Jun 3, 2026, 6:00:23 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is ciencias.ulisboa.pt.

Submitted URL: https://ciencias.ulisboa.pt

The Cisco Umbrella rank of the primary domain is #103,029 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 94%

1
Risk Score

The site appears legitimate with no phishing, credential harvesting, or malware indicators.

Safety Factors
Educational institution domain (ciencias.ulisboa.pt)
No malicious network alerts or IDS detections
Content classified as education with high confidence
Domain age information unavailable

Details

Page Title

Faculdade de Ciências da Universidade de Lisboa

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

education learning

(65%)

Domain Information

The domain 'ciencias.ulisboa.pt' uses the Portuguese country-code top-level domain (.pt), featuring subdomain 'ciencias'. The core label 'ulisboa' covers 7 characters with four vowels and three consonants. It segments into 2 words: u, lisboa. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ciencias.ulisboa.pt

Page Load Overview

5.67s
Total Load Time
60
HTTP Requests
2
Domains
27.1 MB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:pt
Text Length:6,743 chars
Detector Agreement:80%

Website Classification

Primary Category

education learning65% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
65%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
60194.117.42.133Oeiras, Lisbon, Portugal
AS1930Fundacao para a Ciencia e a Tecnologia, I.P.
601--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D18429349290573B423B47D4F2E16B5EA29BD70ECE539C84F3EC83864FCADA49E25605

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:UkuxaEmcJ9z5BZQaWkgsky+ISToLklB8XZ1i2goWt5dre2bINBMsiLlFUD+2K+Gd:ncJ9dBZQAky+lToLexLdqMJlFG+DXGA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:375035:QqScJ0QoDyII0nUFwAwjA0DQkggQaFATAG44ZNPwQAZiAsihAB1PCBy0DQOshAQBMBdoBA0FGQVMMA8iQE5EEKDqTpgIRkaB

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:00c7ff7f60c0c0c0
Perceptual Hash:f0877c7304790de3
Difference Hash:360f9fa78d979b85
Wavelet Hash:02cfff5fe1c0c0d0
Color Hash:#47862d

Scan History

Scan history not available

Unable to load historical scan data