ScanMalware.com

Security Scan Report: law.illinois.edu

Site favicon
Submitted: Oct 28, 2025, 12:42:19 PMCompleted: Oct 28, 2025, 12:44:18 PMpubliccompleted
Loading additional data...

Summary

This website contacted 68 IPs in 2 countries across 9 domains to perform 54 HTTP transactions. The main domain is law.illinois.edu and was registered NaN years ago.

Submitted URL: https://law.illinois.edu/ghiotto-speaks-to-ipm-about-deputy-who-killed-sonya-massey/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university page with no security concerns.

Safety Factors
Established institution (University of Illinois)
Standard informational content only
Secure HTTPS connection
Domain age information unavailable

Details

Page Title

Ghiotto speaks to IPM about deputy who killed Sonya Massey - College of Law

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

malicious

(49%)

Domain Information

The domain name 'law.illinois.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'law'. Count 8 characters in 'illinois' holding four vowels versus 4 consonants. Word splitting yields one word: illinois. Expect eight characters per word on average. 'illinois' most strongly signals Danish. You may catch it in Galician and Dutch as well. Taken together, it feels Danish with single-word simplicity.

Screenshot

Security scan screenshot of https://law.illinois.edu/ghiotto-speaks-to-ipm-about-deputy-who-killed-sonya-massey/

Page Load Overview

66.18s
Total Load Time
54
HTTP Requests
9
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:8,978 chars
Detector Agreement:100%

Website Classification

Primary Category

malicious49% confidence
Type: spa
Method: ml+structural

All Detected Categories

malicious
49%
education
45%
news/blog
35%

Detected Features

Search
Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
099.84.152.16United States
AS16509AMAZON-02
018.244.18.21United States
AS16509AMAZON-02
065.9.66.53United States
AS16509AMAZON-02
065.9.66.75United States
AS16509AMAZON-02
0128.174.38.174Champaign, Illinois, United States
AS38UIUC
0151.101.2.137San Francisco, California, United States
AS54113FASTLY
018.244.18.77United States
AS16509AMAZON-02
052.222.136.18United States
AS16509AMAZON-02
018.244.18.6United States
AS16509AMAZON-02
052.222.136.77United States
AS16509AMAZON-02
5468--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18E73C933E1790A6B570B474C5685A35CBD998625CA024E9AB0FE627C0FC9EF3046E74F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Ade2MWayj8P2Pv3g9GPIne9tOjE8zBCKhvu7c0LZ6i5HpipkriojdxoMH+5gap6L:Ade2Mtwx47r99JbD64YHNCTOTmTJt6Z/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:78153:MVhAQAMCAERNjiSTAKkMkAUB0TJAhkFBCQeEdCCUI6pBNlGEzqD0AHsxQ0gGEBADCoYNMAsARWPQAIIEFAAEjBwJQwEQAyAI

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:ffdf8f9f9fff0004
Perceptual Hash:bce943cb16e99438
Difference Hash:693f3f373e38132c
Wavelet Hash:bfc38f8f8f9f0000
Color Hash:#bf40b3

Other Hashes

Crop Resistant:9a185831339e989a,693f3f373e38132c

Scan History

Scan history not available

Unable to load historical scan data