Security Scan Report: twin-cities.umn.edu

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Submitted: May 8, 2026, 4:06:12 PMCompleted: May 8, 2026, 4:07:49 PMpubliccompleted
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Summary

This website contacted 13 IPs in 1 country across 13 domains to perform 55 HTTP transactions. The main domain is twin-cities.umn.edu and was registered NaN years ago.

Submitted URL: https://twin-cities.umn.edu

The Cisco Umbrella rank of the primary domain is #40,228 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site is a legitimate university domain with no malicious indicators, forms, or brand impersonation.

Safety Factors
Well‑established domain with long registration history
High reputation ranking in Cisco Umbrella
Absence of phishing or malware Indicators of Compromise
No forms collecting sensitive data
Brand name in meta tags aligns with the actual domain
Domain age information unavailable

Details

Page Title

University of Minnesota Twin Cities

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(78%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'twin-cities.umn.edu' is registered, featuring subdomain 'twin-cities'. The registrable portion 'umn' spans 3 characters holding one vowel versus 2 consonants. It segments into 2 words: um, n. Median word length comes out to 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://twin-cities.umn.edu

Page Load Overview

3.15s
Total Load Time
130
HTTP Requests
27
Domains
6.9 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
Text Length:8,752 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media78% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
78%
education learning
75%
education
45%
corporate
25%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10104.17.25.14United States
AS13335Cloudflare, Inc.
10142.251.20.95United States
AS15169Google LLC
10104.18.10.207United States
AS13335Cloudflare, Inc.
1044.208.123.170Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
10188.114.97.3United States
AS13335Cloudflare, Inc.
10142.251.20.93United States
AS15169Google LLC
10172.66.171.172United States
AS13335Cloudflare, Inc.
10172.67.142.245United States
AS13335Cloudflare, Inc.
10192.178.183.97United States
AS15169Google LLC
10142.251.110.94United States
AS15169Google LLC
13013--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BED319179368627D440343D19A7E226636A5C8C7E341968CF3EE5A19DFC3DF01672B2E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:IXPq3z3WQTXmSwRl4y0oPXqphTemWYVu2:I/ImW28a2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:141674:CGTAoAeHb0kRKQziLUAwaikhJQAJFgmBYoPpWRDETYKEQAwCA0gzEgCMRmckUAQAKXACnxZQBCbYgAENjt+KIlDQ4FGAQPJA

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:ffe70010100000ff
Perceptual Hash:8ce1f30ccf0ad8ad
Difference Hash:6396d4e2f6b4750e
Wavelet Hash:ffef4038130003ff
Color Hash:#87c5be

Scan History

Scan history not available

Unable to load historical scan data