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Security Scan Report: jupyternotebook-rqwxn52ck3.edgeone.app

Submitted: Nov 17, 2025, 11:56:42 PMCompleted: Nov 18, 2025, 12:00:04 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is jupyternotebook-rqwxn52ck3.edgeone.app.

Submitted URL: https://jupyternotebook-rqwxn52ck3.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Absence of password or payment fields
No malicious Indicators of Compromise detected
No external links or redirects
No brand impersonation observed
Domain age information unavailable

Details

Page Title

AI Model Training Simulation

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(76%)

Domain Information

The domain 'jupyternotebook-rqwxn52ck3.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'jupyternotebook-rqwxn52ck3'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and three consonants. Splitting it apart reveals two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jupyternotebook-rqwxn52ck3.edgeone.app/

Page Load Overview

30.14s
Total Load Time
3
HTTP Requests
1
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:810 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software76% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
76%
documentation technical
49%
adult content
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17F03CA2466FA012BBC33C0D9EE666F1A39C9A047CB1B8964765D06709FCFC967D63348

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:CuB9I7hL7+XSn60jDcU/f1f5DY32BJQt6Lm+Hb7fl0yRgKn:CuB9I7hno7CYU/Nf5D02Bm+Hb7nxn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38199:wICDIwACQIArcDAsYAi4ZAnoMAmmB0JzZhDDuYIsiDAiwazgJBENGDgRNkiAQsR0Q4QoeECjBIMBB0eCBYAHEuBAUECQcIER

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