Security Scan Report: www.trine.edu

Submitted: Dec 28, 2025, 5:35:45 PMCompleted: Dec 28, 2025, 5:45:29 PMpubliccompleted
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Summary

This website contacted 22 IPs in 3 countries across 0 domains to perform 0 HTTP transactions. The main domain is trine.edu and was registered NaN years ago.

Submitted URL: https://www.trine.edu/news/2024/jane-pauley.aspx

The Cisco Umbrella rank of the primary domain is #431,966 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Jane Pauley returns home to Hoosier Girls State

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'www.trine.edu' is registered with subdomain 'www'. The second-level label 'trine' is 5 characters long containing two vowels alongside three consonants. Tokenizing the label suggests three words: tr, in, e. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.trine.edu/news/2024/jane-pauley.aspx

Page Load Overview

1.89s
Total Load Time
0
HTTP Requests
0
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:8,888 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: spa
Method: ml+structural

All Detected Categories

education
45%
government public service
27%
news
15%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
052.13.186.90Boardman, Oregon, United States
AS16509AMAZON-02
0184.24.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0198.62.98.57Angola, Indiana, United States
AS1767ILIGHT-NET
023.53.40.59Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0108.138.7.33United States
AS16509AMAZON-02
034.198.122.35Ashburn, Virginia, United States
AS14618AMAZON-AES
074.125.133.157United States
AS15169GOOGLE
03.68.178.251Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
0142.250.186.99United States
AS15169GOOGLE
0150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
022--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15893FA769AD05B3B82A3D2D8BB36A2297186804FCA174901F7FC87585BD3DD4E81F14B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:pr4ry8oQ8XpyuLNcvCPZhf1IKHe/Imi2ANaBMyuLNcvCPZhf1IKFSf9oUEzEhVBp:pV8oXpyuLNcvCPZhf1IKbNMMyuLNcvCg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:92470:QAtEBJag1MQwAIIkQFEwtCRgqCF0ggazg0qQQEMkARikAAQzJjUCfFwEYZQUWcyA3CFVEACDwMY2hFAsYKkBakAERYiiJGBB

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data