Security Scan Report: ap-purchasing.fo.uiowa.edu

Site favicon
Submitted: Sep 24, 2026, 11:23:17 PMCompleted: Sep 24, 2026, 11:24:12 PMpubliccompleted

This website contacted 17 IPs in 2 countries across 16 domains to perform 51 HTTP transactions. The main domain is ap-purchasing.fo.uiowa.edu and was registered 14 years ago.

Submitted URL: https://ap-purchasing.fo.uiowa.edu/news/2017/12/new-travel-warning-system

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

Official University of Iowa purchasing/travel news article on the university's own long-established domain, with no credential collection, brand impersonation, or threat-intel hits. Safe.

Safety Factors
Established 38-year-old university domain with physical address and business hours listed
Ranked in Cisco Umbrella top 100K
Self-branding matches domain owner (The University of Iowa)
Network IDS alerts are generic INFO-category 'abused hosting domain' notes about azurewebsites.net (a university chatbot host), not malware/phishing alerts
No credential or payment collection; sole form is internal search
Domain age information unavailable

Details

Page Title

New Travel Warning System | Purchasing, Accounts Payable & Travel - Business Services | The University of Iowa

Scan Type

public

Domain Name Analysis

Domain 'ap-purchasing.fo.uiowa.edu' uses the sponsored educational top-level domain (.edu) and includes subdomain 'ap-purchasing.fo'. Its registrable label 'uiowa' stretches across 5 characters split between four vowels and one consonant. Segmentation suggests two words: u, iowa. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ap-purchasing.fo.uiowa.edu/news/2017/12/new-travel-warning-system

Page Load Overview

3.61s
Total Load Time
3.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,414 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
84%
government public service
60%
documentation technical
47%
education
45%
news/blog
30%

Detected Features

Search
Articles
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
354.163.225.50Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
3142.251.20.95Google · CDNUnited States
AS15169Google LLC
3172.67.142.245Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.21.27.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.14.97Google · CDNUnited States
AS15169Google LLC
3142.251.127.94Google · CDNUnited States
AS15169Google LLC
320.119.0.33Azure · CLOUDDulles, Virginia, United States
AS8075Microsoft Corporation
3150.171.110.49Azure · CLOUDUnited States
AS8075Microsoft Corporation
3142.251.110.101Google · CDNUnited States
AS15169Google LLC
354.192.35.105Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
5117--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T158034AD37465A87717A325EBE43BA142F12729B4344C8C60FAEE99AD14C18D940B3F7E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:egKUE8gSsF6Nuw4MsQXgsFaHTrmPP9nQn7xeNWA5BLxI/YTPXpGY3Lg6Fwsrnp88:+TWWA5B9zXh8zKngbKdR0oNi8v

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:39832:MAMveSIAhjSgkCpQVw3BIzcmAEAEBnAPoQAEHCErOJADNC7iGQQAqgAKDAoQBSgWqjeLLA0IQGiWWvJAIAxkACFFJq6Khldv

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:00ff8f8f9f9f8fff
Perceptual Hash:bc47c31c1c3f4716
Difference Hash:793a1a3630323e0e
Wavelet Hash:009b8f819f9f8b87
Color Hash:#d26c2d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data