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Security Scan Report: www.intecca.uned.es

Redirected to:
https://www.intecca.uned.es/portal/inicio
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Submitted: May 5, 2026, 10:21:05 AMCompleted: May 5, 2026, 10:23:28 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 90 HTTP transactions. The main domain is intecca.uned.es.

Submitted URL: https://www.intecca.uned.es

Effective URL: https://www.intecca.uned.es/portal/inicioRedirected

The Cisco Umbrella rank of the primary domain is #142,830 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site shows no malicious activity and lacks credential collection; despite low ranking and unknown age, it is assessed as low risk.

Risk Factors
Domain ranking is low (142,830) and not in top 100K
Domain age is unknown
Safety Factors
Hosted on standard infrastructure with no malicious external links
No credential exfiltration or suspicious JavaScript behavior observed
Absence of login/payment forms reduces phishing risk
Domain age information unavailable

Details

Page Title

Página principal del portal AVIP

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

social media network

(72%)

Domain Information

The domain 'www.intecca.uned.es' uses the Spanish country-code top-level domain (.es); it also runs on subdomain 'www.intecca'. Count 4 characters in 'uned' containing two vowels alongside two consonants. Tokenizing the label suggests 2 words: u, ned. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.intecca.uned.es

Page Load Overview

11.28s
Total Load Time
118
HTTP Requests
5
Domains
10.2 MB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:es
Text Length:1,885 chars
Detector Agreement:67%

Website Classification

Primary Category

social media network72% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
72%
education learning
59%
government public service
49%
technology software
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
31192.178.183.136United States
AS15169Google LLC
29185.179.105.130Tordesillas, Castille and León, Spain
AS44593Fundacion Centro de Supercomputacion de Castilla y Leon
29142.251.20.97United States
AS15169Google LLC
29185.179.105.136Tordesillas, Castille and León, Spain
AS44593Fundacion Centro de Supercomputacion de Castilla y Leon
1184--

Detected Technologies5

Google-AnalyticsvUniversal
100%
HSTS
40%
CentOS
40%
Google Analytics
35%
YouTube
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18173B535C900592F8AF394C580CBBA0960B694D2F09659D7BBF8CB0E4FCFB6740A9765

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:XFAFyTijdor6DJTvmCVChWpW8WELhLpL8LEV1h/p/8/Ewhwpw8wE8h8p888ENhNg:XSZ6ydBQc39Y5btPcStSsBzmxc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:80602:oCCoMpQSyAdIjBxEHQBRIARAWBQT2oQGkxnRufwziJ9CCVFC/AgAaAcE6CEAKC6QgAIFAbABMEVFEGSoMRANkBw5iBoAIgAJ

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:0000ffffffffffe7
Perceptual Hash:f35f734a724c308c
Difference Hash:494900000000041e
Wavelet Hash:00000e0ef0f0c0c0
Color Hash:#3e931f

Other Hashes

Crop Resistant:494900000000041e,2020202121222020,29292b2b2b232323

Scan History

Scan history not available

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