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Security Scan Report: afrst.illinois.edu

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Submitted: Dec 14, 2025, 7:08:46 AMCompleted: Dec 14, 2025, 7:09:44 AMpubliccompleted
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Summary

This website contacted 102 IPs in 3 countries across 18 domains to perform 52 HTTP transactions. The main domain is afrst.illinois.edu and was registered NaN years ago.

Submitted URL: https://afrst.illinois.edu/country-profiles-angola

The Cisco Umbrella rank of the primary domain is #53,607 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university page with no security concerns.

Safety Factors
Established academic institution
Standard hosting without suspicious redirects
No form collecting sensitive data
Domain age information unavailable

Details

Page Title

Country Profiles: Angola | Center for African Studies | Illinois

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(58%)

Domain Information

The domain name 'afrst.illinois.edu' uses the sponsored educational top-level domain (.edu) and includes subdomain 'afrst'. The core label 'illinois' covers 8 characters holding four vowels versus four consonants. Tokenizing the label suggests 1 word: illinois. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://afrst.illinois.edu/country-profiles-angola

Page Load Overview

6.84s
Total Load Time
52
HTTP Requests
18
Domains
1.2 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:16,997 chars
Detector Agreement:75%

Website Classification

Primary Category

education learning58% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
58%
adult content
56%
education
45%
government public service
40%
finance banking
31%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5218.244.18.21United States
AS16509AMAZON-02
052.222.136.18United States
AS16509AMAZON-02
0172.217.18.3United States
AS15169GOOGLE
0142.250.186.99United States
AS15169GOOGLE
099.84.152.72United States
AS16509AMAZON-02
0142.250.185.164United States
AS15169GOOGLE
034.198.122.35Ashburn, Virginia, United States
AS14618AMAZON-AES
018.244.18.6United States
AS16509AMAZON-02
0216.239.32.36United States
AS15169GOOGLE
0142.250.185.234United States
AS15169GOOGLE
52102--

Detected Technologies8

MetaGenerator
100%
Drupalv10
65%
PHP
50%
Nginx
50%
MariaDB
50%
Fastly
50%
Pantheon
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FDC21A1356F4153642938381BAB1B26EDF23C547F204AE8AF44D0A1DAFD2E948E1F75E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:A46q1Pi7q2kOLlgcTHob3+cLqWdWAFNxg:A4QvhgcTHob3+UqWcAFNxg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:27009:IApP+ggA/gJIBSMQwqCCVBBJCECGhAwBAALQesCAA6lqhKogyPQAAIgHSQGNeUCUZPA3zYEJCUMEvrYRAdgFkBiWIMBAFS0i

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:8883e7c7c7e7efef
Perceptual Hash:b31e0c1c1d37339b
Difference Hash:33320c0c1c0c1c18
Wavelet Hash:0000c7c7c7c7e7cf
Color Hash:#79d2a0

Other Hashes

Crop Resistant:33320c0c1c0c1c18

Scan History

Scan history not available

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