Security Scan Report: welcome.uw.edu.pl

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Submitted: Feb 7, 2026, 10:03:02 AMCompleted: Feb 7, 2026, 10:05:03 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 welcome.uw.edu.pl and was registered NaN years ago.

Submitted URL: https://welcome.uw.edu.pl/about-poland/

The Cisco Umbrella rank of the primary domain is #172,277 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Domain age > 10 years
No malicious Indicators of Compromise
No credential or payment collection
No JavaScript malware detected
Standard hosting environment
Domain age information unavailable

Details

Page Title

welcome.uw.edu.pl

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

Within the Polish country-code top-level domain (.edu.pl), 'welcome.uw.edu.pl' is registered; it also runs on subdomain 'welcome'. Count 2 characters in 'uw' containing 1 vowel alongside one consonant. Word splitting yields one word: uw. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://welcome.uw.edu.pl/about-poland/

Page Load Overview

30.06s
Total Load Time
49
HTTP Requests
11
Domains
1.1 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-US
Text Length:18,675 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: spa
Method: ml+structural

All Detected Categories

education
45%
education learning
30%
forum
25%
news/blog
20%

Detected Features

Search
Articles
Comments

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
49193.0.115.223Warsaw, Mazovia, Poland
AS8890University of Warsaw
491--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13A048F773296063986558498E05B830D9F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:hfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz+2bMy8OldF:GhoC9JSqzzbs6o3Sj3gcrsa2eAj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184515:AgQRmYUK2sCCtJJ0AVJ2YaABAIkcAcCIDwGhE2AYOclAYaA5jwFgKMM0r/A4JLACTEsEEgAKWAUkooRrEvYBF2MhqACkbKJD

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc673323
Difference Hash:00180c1400000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#e0af6c

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

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