Security Scan Report: www.trine.edu

Submitted: Completed: publiccompleted
This website contacted 22 IPs in 3 countries across 7 domains to perform 0 HTTP transactions. The main domain is trine.edu and was registered 18 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

Domain Name Analysis

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
N/A
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

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