Security Scan Report: news.wisc.edu

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Submitted: Oct 31, 2025, 6:57:04 AMCompleted: Oct 31, 2025, 6:59:11 AMpubliccompleted
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Summary

This website contacted 15 IPs in 2 countries across 4 domains to perform 43 HTTP transactions. The main domain is news.wisc.edu and was registered NaN years ago.

Submitted URL: https://news.wisc.edu/uw-madison-partners-with-microsoft-and-titletowntech-to-accelerate-ai-driven-scientific-discovery/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university news article; no security concerns detected.

Safety Factors
Established, long‑standing domain
Official university news site (news.wisc.edu)
Legitimate partnership announcement with Microsoft and TitletownTech
No suspicious redirects or hidden scripts
Domain age information unavailable

Details

Page Title

UW–Madison partners with Microsoft and TitletownTech to accelerate AI-driven scientific discovery  – UW–Madison News – UW–Madison

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

The domain 'news.wisc.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'news'. Count 4 characters in 'wisc' holding 1 vowel versus three consonants. Tokenizing the label suggests two words: wis, c. Average segment length settles at two characters. 'wisk' most strongly signals Breton. Secondary signals appear in Chinese (Zhuyin) and Afrikaans.

Screenshot

Security scan screenshot of https://news.wisc.edu/uw-madison-partners-with-microsoft-and-titletowntech-to-accelerate-ai-driven-scientific-discovery/

Page Load Overview

75.45s
Total Load Time
43
HTTP Requests
4
Domains
896 KB
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:6,257 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education
45%
news/blog
35%
technology software
30%

Detected Features

Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1518.245.31.69United States
AS16509AMAZON-02
2128.104.22.8Madison, Wisconsin, United States
AS59WISC-MADISON-AS
218.245.31.63United States
AS16509AMAZON-02
2151.101.66.137San Francisco, California, United States
AS54113FASTLY
218.245.31.106United States
AS16509AMAZON-02
2172.217.23.104United States
AS15169GOOGLE
22a04:4e42::649United States
AS54113FASTLY
218.245.31.17United States
AS16509AMAZON-02
22a04:4e42:600::649United States
AS54113FASTLY
2151.101.2.137San Francisco, California, United States
AS54113FASTLY
4315--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F4240021F1A187F72E9F0B38054CD3187296E31196056BB7B5EDB0A46BC8AB708F761D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:+h4G6apmdeRrf3yn4DFDHKo4i/FUlU85Iytk1:FGNrf5v4i/FUlU85Iytk1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:228550:sAByCABgKNYsrZAIoJcCZJAC6psNgoD4BgFrA1HAScKJB5B6I8hGoDcwPGAIEECFQIMTCSITWEgB4BAEwBCsWloFFAIvBook

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:00ffefffffffff00
Perceptual Hash:b3b50ecc0cbc3a33
Difference Hash:23089c1c1c0c0d13
Wavelet Hash:00e7c7c7c7e7c700
Color Hash:#ae87c5

Scan History

Scan history not available

Unable to load historical scan data