Security Scan Report: aloooww-jovak51c8n.edgeone.app

Submitted: Feb 22, 2026, 6:02:26 AMCompleted: Feb 22, 2026, 6:03:48 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 aloooww-jovak51c8n.edgeone.app and was registered NaN years ago.

Submitted URL: https://aloooww-jovak51c8n.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: 92%

0
Risk Score

No malicious activity detected; site appears safe.

Safety Factors
Hosted on a known platform (edgeone.app)
No credential or payment collection fields
No JavaScript malware patterns detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

aloooww-jovak51c8n.edgeone.app

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'aloooww-jovak51c8n.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'aloooww-jovak51c8n'. The core label 'edgeone' covers 7 characters split between 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://aloooww-jovak51c8n.edgeone.app/

Page Load Overview

1.07s
Total Load Time
14
HTTP Requests
4
Domains
2.3 MB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:521 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1443.152.26.58Singapore
141--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17E048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:WfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszO2bMy8OldW:VhoC9JSqzzbs6o3Sj3gcrsq2eA0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184541:ghBEoQMDCGiNJvgcAy6gDGIFBiEFAkOZOAMM4GhwAcM5aCjMLE4MRwaIKBZ1MmICVKCGk2kERIwhgUQDFgBBMllwOQRoQBmA

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc673323
Difference Hash:00180c1400000000
Wavelet Hash:f0d0c0ccf0f0f0f0
Color Hash:#e06cdc

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data