Security Scan Report: news.clas.ufl.edu

Submitted: Oct 31, 2025, 6:55:02 AMCompleted: Oct 31, 2025, 6:58:08 AMpubliccompleted
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Summary

This website contacted 13 IPs in 2 countries across 5 domains to perform 61 HTTP transactions. The main domain is news.clas.ufl.edu and was registered NaN years ago.

Submitted URL: https://news.clas.ufl.edu/ai-workflow-for-superconductors-recognized/

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate university news page with no security concerns

Safety Factors
Established university domain
No suspicious forms or data collection
No malicious Indicators of Compromise
Consistent branding with official UF site
Domain age information unavailable

Details

Page Title

AI-accelerated workflow for superconductors recognized by UF Innovate - News

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

The domain name 'news.clas.ufl.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'news.clas'. The registrable portion 'ufl' spans 3 characters with one vowel and 2 consonants. Segmentation suggests two words: u, fl. The median word length lands at 1.5 characters. The linguistic tilt is Bosnian for 'u'. It also appears in Croatian and Serbian contexts.

Screenshot

Security scan screenshot of https://news.clas.ufl.edu/ai-workflow-for-superconductors-recognized/

Page Load Overview

12.01s
Total Load Time
61
HTTP Requests
5
Domains
4.2 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-US
Text Length:5,432 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education
45%
documentation technical
42%
news/blog
35%

Detected Features

Search
Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
46128.227.24.94Gainesville, Florida, United States
AS6356NERDCNET
9104.18.40.68United States
AS13335CLOUDFLARENET
4142.250.185.104United States
AS15169GOOGLE
4172.64.147.188United States
AS13335CLOUDFLARENET
4216.239.34.36United States
AS15169GOOGLE
42a00:1450:4001:831::2008Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
42001:4860:4802:32::36United States
AS15169GOOGLE
42001:4860:4802:34::36United States
AS15169GOOGLE
42a06:98c1:3101::ac40:93bcUnited States
AS13335CLOUDFLARENET
42606:4700:4408::6812:2844United States
AS13335CLOUDFLARENET
6113--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18104F7FB032493FCA9DA5B9CEF1538487195E4EBEAA1D1C0E3AE9A08D4C6CD5F50C944

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:AXZ9yZszZN+Rn8N5GRBz+PzHqR3kWcQu4fko9Y1xa3kWcE688:AXZ9yZKZoGSg88

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:181584:gSwiAAIomQMAyseAUHyZIBRAAnGyPUXkcATESAoBwkkEBZUBCByQgAgMQyUJGQCgiAqQsCAkgFMYRAElHRAHEJSNhYG5Ol08

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:00c7c3c3c3e7ffff
Perceptual Hash:b070cf4e641b7374
Difference Hash:28169696960e1c14
Wavelet Hash:00c3c3c3c3c3c7ef
Color Hash:#4084bf

Scan History

Scan history not available

Unable to load historical scan data