Summary
This website contacted 12 IPs in 2 countries across 5 domains to perform 46 HTTP transactions. The main domain is scratch.mit.edu and was registered NaN years ago.
Submitted URL: https://scratch.mit.edu/
The Cisco Umbrella rank of the primary domain is #9,098 of the top 1 million websitesTop 10K Site
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with no security concerns.
Safety Factors
Details
Page Title
Scratch - Imagine, Program, Share
Scan Type
public
Language
English
Category
education
(90%)Domain Information
You're looking at domain 'scratch.mit.edu' on the sponsored educational top-level domain (.edu), featuring subdomain 'scratch'. The second-level label 'mit' is 3 characters long containing 1 vowel alongside two consonants. Splitting it apart reveals 1 word: mit. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 24 | 151.101.2.133 | San Francisco, California, United States | AS54113FASTLY |
| 15 | 146.75.122.133 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 4 | 216.239.34.36 | United States | AS15169GOOGLE |
| 3 | 151.101.194.133 | San Francisco, California, United States | AS54113FASTLY |
| 3 | 216.239.32.36 | United States | AS15169GOOGLE |
| 3 | 151.101.66.133 | San Francisco, California, United States | AS54113FASTLY |
| 3 | 142.250.185.104 | United States | AS15169GOOGLE |
| 3 | 2001:4860:4802:34::36 | United States | AS15169GOOGLE |
| 3 | 2a00:1450:4001:810::2008 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 3 | 2001:4860:4802:32::36 | United States | AS15169GOOGLE |
| 46 | 12 | - | - |
Detected Technologies3
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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
Scan History
Scan history not available
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