Summary
This website contacted 29 IPs in 1 country across 4 domains to perform 42 HTTP transactions. The main domain is start.edu and was registered NaN years ago.
Submitted URL: https://start.edu/connect/college?id=a960680c-568c-40fe-ac1d-6d4e6c5772be
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate informational page about Walsh University with no security concerns.
Safety Factors
Details
Page Title
Walsh University
Scan Type
public
Language
English
Category
education
(90%)Domain Information
You're looking at domain 'start.edu' on the sponsored educational top-level domain (.edu) while skipping any subdomain. The core label 'start' covers 5 characters split between 1 vowel and four consonants. Segmentation suggests one word: start. Average segment length settles at five characters. 'start' most strongly signals English. Secondary signals appear in Chinese (Pinyin) and Breton.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 14 | 13.35.58.121 | United States | AS16509AMAZON-02 |
| 1 | 34.198.122.35 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 13.35.58.47 | United States | AS16509AMAZON-02 |
| 1 | 13.35.58.38 | United States | AS16509AMAZON-02 |
| 1 | 13.35.58.113 | United States | AS16509AMAZON-02 |
| 1 | 2600:9000:2359:4c00:5:c603:2080:93a1 | United States | Unknown |
| 1 | 2600:9000:2359:da00:5:c603:2080:93a1 | United States | Unknown |
| 1 | 2600:9000:2359:5400:5:c603:2080:93a1 | United States | Unknown |
| 1 | 2600:9000:2359:ee00:5:c603:2080:93a1 | United States | Unknown |
| 1 | 2600:9000:2359:7400:5:c603:2080:93a1 | United States | Unknown |
| 42 | 29 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
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