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Security Scan Report: vanshu-physics-numerical-kit-st9jtcx8nj.edgeone.app

Submitted: Mar 29, 2026, 4:26:43 PMCompleted: Mar 29, 2026, 4:28:00 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is vanshu-physics-numerical-kit-st9jtcx8nj.edgeone.app and was registered NaN years ago.

Submitted URL: https://vanshu-physics-numerical-kit-st9jtcx8nj.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: 86%

0
Risk Score

No malicious activity detected; the site appears legitimate.

Safety Factors
Served over HTTPS
Hosted on a known platform (edgeone.app)
No credential or payment collection mechanisms
No known malicious Indicators of Compromise
No suspicious external domains or redirects
Domain age information unavailable

Details

Page Title

Physics Numerical Survival Kit

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(69%)

Domain Information

You're looking at domain 'vanshu-physics-numerical-kit-st9jtcx8nj.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'vanshu-physics-numerical-kit-st9jtcx8nj'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and 3 consonants. Breaking it apart gives two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vanshu-physics-numerical-kit-st9jtcx8nj.edgeone.app/

Page Load Overview

0.64s
Total Load Time
9
HTTP Requests
3
Domains
179 KB
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:15,034 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical69% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
69%
education learning
67%
government public service
37%
adult content
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.58.206.42Singapore
AS15169
343.152.26.58Singapore
AS139341ACE
3142.251.140.163United States
AS15169Google LLC
93--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T100832FA1A1F0913301B380D26B691F5B3EE8AA57C957171437FE4B904FCEC9AED23A54

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:AzGKDEPQKrDYdIj69//Es5vj5C9tgx8f+1ehxDfvz0wgrwvS2DoAkAR9RMTBRMG+:mKrDYCj6JMs5vA9ux8f+Ihxrvz0wgre/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:86656:wgBMBWAKMMgDgCtyCyNgBAhYJgHeIGDgRKDzsiBaAkBejPboPRIgmEgxGiDEUJEggCKCFggmRAQACAuAFmSQAwRU5RJO4goQ

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:8000e100ffffffc1
Perceptual Hash:ea7c6a8f4f4ae0c0
Difference Hash:2109910121012181
Wavelet Hash:8000e100ffffffc1
Color Hash:#1f9346

Other Hashes

Crop Resistant:2109910121012181

Scan History

Scan history not available

Unable to load historical scan data