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Security Scan Report: cancer.ufl.edu

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Submitted: Feb 4, 2026, 9:30:08 AMCompleted: Feb 4, 2026, 9:33:09 AMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 8 domains to perform 24 HTTP transactions. The main domain is cancer.ufl.edu and was registered NaN years ago.

Submitted URL: https://cancer.ufl.edu/patient-care/support-and-resources/understanding-cancer/

The Cisco Umbrella rank of the primary domain is #30,128 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Legitimate educational page from University of Florida; no security concerns detected

Safety Factors
Established institutional domain (>40 years old)
No redirects or URL manipulation detected
No suspicious JavaScript or malware patterns detected
Content is educational and matches the University of Florida Cancer Institute
Domain age information unavailable

Details

Page Title

Understanding Cancer » Cancer Institute » UF Health Cancer Institute » University of Florida

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(47%)

Domain Information

The domain name 'cancer.ufl.edu' uses the sponsored educational top-level domain (.edu) and includes subdomain 'cancer'. Its registrable label 'ufl' stretches across 3 characters containing 1 vowel alongside two consonants. Tokenizing the label suggests 2 words: u, fl. The median word length lands at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cancer.ufl.edu/patient-care/support-and-resources/understanding-cancer/

Page Load Overview

90.20s
Total Load Time
38
HTTP Requests
8
Domains
392 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
Text Length:8,581 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical47% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
47%
education
45%
news/blog
20%

Detected Features

Articles
OG: page

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8184.24.77.154Germany
AS15169
5184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
5104.17.25.14Germany
AS20940
5216.58.206.68Germany
AS13335
5159.178.62.48Gainesville, Florida, United States
AS6356University of Florida
5142.250.185.131GermanyUnknown
5142.251.127.97GermanyUnknown
387--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B304C6B083F0213B88AEC7BD92766399FDA9C007D1671C4275AD2B585F4BE995CC392C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:8uapw+LmoquMQqBZwEQ5Ox6+G+3L/WV6UL+aDvFIJ+2+/iikLk:8Br3MQq3wOx6+RS7/iikLk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:178704:la+npCKiECAFxAzwJCSAmBAiREDWQ7g/CaQQJNEAAYRSHSCC6zWFQSwkUgEBYAXpkQhEJg4AcapfB0CNRCBADog7oMkIRBkh

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:0000fff1e1ffffff
Perceptual Hash:eb1614616b9496eb
Difference Hash:cc2e1f03031f1e16
Wavelet Hash:000087c1c1ffefef
Color Hash:#bf7940

Other Hashes

Crop Resistant:cc2e1f03031f1e16,968593ccce31d02b,5048487444104040

Scan History

Scan history not available

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