Security Scan Report: coolscience-fckrvguanj.edgeone.app

Submitted: Apr 28, 2026, 2:45:11 PMCompleted: Apr 28, 2026, 2:46:29 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is coolscience-fckrvguanj.edgeone.app and was registered NaN years ago.

Submitted URL: https://coolscience-fckrvguanj.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Low risk site; no malicious activity detected, but subdomain age is unknown.

Risk Factors
Unknown subdomain creation date (could be brand‑new)
Low domain ranking in Cisco Umbrella
Safety Factors
No credential or payment forms
No external malicious links or redirects
No IDS/Suricata alerts
JavaScript obfuscation score low (standard minification)
Content classified as technical documentation
Domain age information unavailable

Details

Page Title

cool science

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(66%)

Domain Information

Within the application-focused generic top-level domain (.app), 'coolscience-fckrvguanj.edgeone.app' is registered with subdomain 'coolscience-fckrvguanj'. Count 7 characters in 'edgeone' with 4 vowels and 3 consonants. It segments into two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://coolscience-fckrvguanj.edgeone.app/

Page Load Overview

0.80s
Total Load Time
2
HTTP Requests
1
Domains
9 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:226 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical66% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
66%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15962D99663AB193394E3A13D3BEB930D323460075945BD1C7E0D41828F4DA658AEEBED

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:ANsZIibp0Yo0G3onpRzQot3LRqmNMVJ01bFhwVeCh:AN8tbp0YRQb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15441:EYKADFIGRFiAg0EkEEAXRFUkgJABEnDJRYICggyIBBWIJ0AIBIgMa7QkQFbgPwChkkoDhCiwpCIEjRWkrIhQAAcDSaSQZsiq

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:ffff808080808080
Perceptual Hash:ff818180807e7e7e
Difference Hash:1a1a252121212101
Wavelet Hash:ffffc0c0808080ff
Color Hash:#3b783a

Other Hashes

Crop Resistant:1a1a252121212101

Scan History

Scan history not available

Unable to load historical scan data