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Security Scan Report: magazine.foriowa.org

Submitted: Sep 13, 2026, 1:05:44 AMCompleted: Sep 13, 2026, 1:07:04 AMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/05423e5e-a882-4182-870c-3ae8f81c18fcDomain and IP registration (RDAP)/api/v1/rdap/05423e5e-a882-4182-870c-3ae8f81c18fcCertificate Transparency/api/v1/ct/magazine.foriowa.orgHow often this domain was scanned/api/v1/domain/stats/magazine.foriowa.orgScan history for this domain/api/v1/domain/history/magazine.foriowa.org?limit=15

This website contacted 50 IPs in 2 countries across 37 domains to perform 220 HTTP transactions. The main domain is magazine.foriowa.org and was registered 21 years ago.

Submitted URL: https://magazine.foriowa.org/story.php?ed=true&storyid=2552

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate University of Iowa alumni magazine article. Established domain, no forms, no malware, no threat intel, and content matches the official foriowa.org organization.

Safety Factors (6)
Established domain registered in 2012
No credential or payment forms
No Indicators of Compromise
No YARA malware patterns
No network-level IDS alerts
Content is clearly news/editorial reporting from an official University of Iowa publication
Domain age information unavailable

Details

Page Title

Playing the Long Game: Kirk Ferentz's Enduring Impact | University of Iowa

Scan Type

public

Domain Name Analysis

Domain 'magazine.foriowa.org' uses the non-profit oriented generic top-level domain (.org); it also runs on subdomain 'magazine'. The second-level label 'foriowa' is 7 characters long with four vowels and three consonants. Breaking it apart gives 2 words: for, iowa. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://magazine.foriowa.org/story.php?ed=true&storyid=2552

Page Load Overview

30.42s
Total Load Time
17.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:35,911 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical83% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
83%
government public service
51%
education learning
39%
entertainment media
35%
news media journalism
28%

Detected Features

Comments
OG: summary_large_image

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2435.201.125.192Google · CDNKansas City, Missouri, United States
AS396982Google LLC
4142.251.110.95Google · CDNUnited States
AS15169Google LLC
4104.20.33.75Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
43.171.214.107Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
452.173.84.163Azure · CLOUDDes Moines, Iowa, United States
AS8075Microsoft Corporation
4104.18.40.68Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.20.97Google · CDNUnited States
AS15169Google LLC
4142.251.14.149Google · CDNUnited States
AS15169Google LLC
4142.251.152.4Google · CDNUnited States
AS15169Google LLC
22050--

Detected Technologies3

Google-AnalyticsvUniversal
100%
Google Analytics
35%
TinyMCE
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A2F07DCF7F1D94B79592BDE6A635F64C9492B502E8F3F89104E85608BB807CBC941C44

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hlt/jA7fVkv9jcrJ5jnck7q3LxyBhsIvMDrYLxyBqrj3jmk/hLEkfbMmRWcxRdVG:hldaVa9od5jckmx4sIvMux1hpfwmxXdU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:653:AAAgAAAAAAAAGgEAQAAAAAAQAAAAAACAAAAAAAAAAAAAAAAAEEAAAAAAIAAAQAAAAAEAAJAAAAAAAAAAAAACABACAIAAAAAA

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:0000fffffff9f981
Perceptual Hash:eb34784034e93fc9
Difference Hash:9d935b5b73735343
Wavelet Hash:0000b9f9fff9f901
Color Hash:#783a5f

Other Hashes

Crop Resistant:92e196968697e896,9d935b5b73735343,9495999191410181,85058181a1e50105,89e92989c949890e

Scan History

Scan history not available

Unable to load historical scan data