Security Scan Report: events.uiowa.edu

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Submitted: Jul 3, 2026, 2:55:39 AMCompleted: Jul 3, 2026, 2:57:44 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is events.uiowa.edu and was registered NaN years ago.

Submitted URL: https://events.uiowa.edu/event/37299

The Cisco Umbrella rank of the primary domain is #68,171 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

AI analysis skipped: Low-risk scan (score=23) on well-ranked domain #68,171.

Safety Factors
Well-established domain (ranked #68,171)
No forms or interactive credential elements
No IoC, YARA, or IDS alerts
Domain age information unavailable

Details

Page Title

events.uiowa.edu

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(81%)

Domain Information

Domain 'events.uiowa.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'events'. Count 5 characters in 'uiowa' with 4 vowels and 1 consonant. It segments into 2 words: u, iowa. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://events.uiowa.edu/event/37299

Page Load Overview

8.10s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:744 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software81% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
81%
documentation technical
54%
adult content
47%
education
45%
government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1128.255.166.28Coralville, Iowa, United States
AS3676University of Iowa
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T174048F77329A063986558498E05B830D9F20B143F506C9BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:v/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsPj2bMy8Oldm:ghoC9JSqzzbs6okSjggcpsL2eA4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187917:CiBwJZEEIjgBrKximAjGUSSIHgKRACRAeAAwIgQMIQrIIsAIzktFAluMYNFCsiUllSRA1aAkpBFBYEwoSARwolrZxSAROCJB

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:ffdfc7c700383030
Color Hash:#864a2d

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data