Security Scan Report: cobainnnnn-5uzs0yu73w.edgeone.app

Submitted: Mar 6, 2026, 4:04:24 PMCompleted: Mar 6, 2026, 4:05:45 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 cobainnnnn-5uzs0yu73w.edgeone.app and was registered NaN years ago.

Submitted URL: https://cobainnnnn-5uzs0yu73w.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: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

abbas & farsya ramadhan run

Scan Type

public

Language

🇮🇩

ID

(44% confidence)

Category

education learning

(39%)

Domain Information

Domain 'cobainnnnn-5uzs0yu73w.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'cobainnnnn-5uzs0yu73w'. Count 7 characters in 'edgeone' containing four vowels alongside 3 consonants. Breaking it apart gives 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cobainnnnn-5uzs0yu73w.edgeone.app/

Page Load Overview

0.69s
Total Load Time
2
HTTP Requests
1
Domains
5 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:44%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:44%
Script Type:Unknown
Text Length:119 chars
Detector Agreement:67%

Website Classification

Primary Category

education learning39% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
39%
healthcare medical
39%
news media journalism
25%

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

T15981748C52B3092A626210763FD37629B16981234E05FD3CBC0E43589FDC4778AAB72E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:wuJb7F0vY+JNnu0ZHkTP3BBnyVdrSfRSamE:1b7FCY+Jlz433y2NmE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3941:AQ0JwKAEAwpAkQALBAIAAEAAEGRAChARAAyQAEBIQQBSAApBEEQAGgAAAAggBkIIAHIWBAQAAgpQEBBBCQYUICIAECiEAACA

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:0018181000001824
Perceptual Hash:f4993333734c6631
Difference Hash:5c3232340c00104c
Wavelet Hash:041c3c34e0f8f8e0
Color Hash:#e09a6c

Other Hashes

Crop Resistant:5c3232340c00104c

Scan History

Scan history not available

Unable to load historical scan data