Security Scan Report: illc.uva.nl

Redirected to: https://www.illc.uva.nl/

Submitted: Mar 24, 2026, 2:18:42 AMCompleted: Mar 24, 2026, 2:20:10 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 2 domains to perform 30 HTTP transactions. The main domain is illc.uva.nl and was registered NaN years ago.

Submitted URL: https://illc.uva.nl

Effective URL: https://www.illc.uva.nl/Redirected

The Cisco Umbrella rank of the primary domain is #123,751 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

No security concerns detected; the site appears legitimate and safe.

Safety Factors
Well‑established domain with decades of registration
Absence of malicious Indicators of Compromise
No sensitive data collection forms
Standard, non‑obfuscated JavaScript
No network IDS alerts
Domain age information unavailable

Details

Page Title

Home | Institute for Logic, Language and Computation

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(40%)

Domain Information

Domain 'illc.uva.nl' uses the Dutch country-code top-level domain (.nl), featuring subdomain 'illc'. The registrable portion 'uva' spans 3 characters holding two vowels versus one consonant. Tokenizing the label suggests one word: uva. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://illc.uva.nl

Page Load Overview

5.51s
Total Load Time
33
HTTP Requests
2
Domains
1.3 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:8,197 chars
Detector Agreement:75%

Website Classification

Primary Category

news/blog40% confidence
Type: dynamic
Method: structural

All Detected Categories

news/blog
40%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
33146.50.97.213Amsterdam, North Holland, Netherlands
AS1124UVA-NL Universiteit van Amsterdam
331--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17A739343679D1F335A3B23F228DC3756F057EB27C7562AE3645B0928E981C24A51B0BB

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ajWoTg2f5AQin85U3tswg5tXlryBVZsrcJL9EhfRmLMVBDnj13Uri7AuQ/hrIYng:qVggin85U3tswg5tXlryBVZsrcJL9EhH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:77343:CqNAEgeAGERARALUKRrSCqg3EQ+MCCBCQC+EAPtoJQgkEMBQEKJGcYyiAAAGCwyQLglDwEAkQBNFgCQ2KDIMAIAEgIIkJBlC

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

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