Security Scan Report: users.econ.umn.edu

Redirected to:
https://cla.umn.edu/economics
Site favicon
Submitted: May 30, 2026, 11:15:41 AMCompleted: May 30, 2026, 11:17:09 AMpubliccompleted
Loading additional data...

Summary

This website contacted 6 IPs in 1 country across 6 domains to perform 2 HTTP transactions. The main domain is cla.umn.edu and was registered NaN years ago.

Submitted URL: https://users.econ.umn.edu

Effective URL: https://cla.umn.edu/economicsRedirected

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

AI Security Verdict

Low Risk

Confidence: 95%

2
Risk Score

Legitimate university page with no malicious indicators; low risk.

Safety Factors
Established university domain with long registration history
High reputation ranking in Cisco Umbrella
Absence of forms or credential‑exfiltration mechanisms
No malicious IoC or YARA detections
Domain age information unavailable

Details

Page Title

Economics | College of Liberal Arts

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(47%)

Domain Information

The domain name 'users.econ.umn.edu' uses the sponsored educational top-level domain (.edu) and includes subdomain 'users.econ'. Its registrable label 'umn' stretches across 3 characters split between one vowel and two consonants. Tokenizing the label suggests 2 words: um, n. Expect 1.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://users.econ.umn.edu

Page Load Overview

2.37s
Total Load Time
40
HTTP Requests
12
Domains
1.9 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:2,844 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service47% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
47%
education
45%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10104.21.27.152United States
AS13335Cloudflare, Inc.
6134.84.151.31Minneapolis, Minnesota, United States
AS217University of Minnesota
6192.178.170.95United States
AS15169Google LLC
6142.251.127.97United States
AS15169Google LLC
6104.18.21.11United States
AS13335Cloudflare, Inc.
6104.20.20.192United States
AS13335Cloudflare, Inc.
406--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B5731A2293E02177088305C16EADA6697655D9C7CF464288F3AE8D1A6FC2EF09E3771D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:BM1MAMGMuMjMrMvQMImS6FHCkWp+OR1POLGWTaAv3CtS:U9OqWTaAPCA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:77747:ACCAFDBVSMdCUMEoFibqA6AW4iWJrAAOQBRJgMoXouGDCCSqMoXALKgBEDAZuhAQDEogAUCFkEFAAClgokCKhUCCVSRMuwKA

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:ffff00406060ffff
Perceptual Hash:c11dbfcae4b5414c
Difference Hash:6052d6cec4c94dcc
Wavelet Hash:ffbf00000020ffff
Color Hash:#783a66

Scan History

Scan history not available

Unable to load historical scan data