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Security Scan Report: stuck-magenta-ikwextfx49-mmnp1be9hy.edgeone.app

Submitted: Mar 15, 2026, 4:38:12 PMCompleted: Mar 15, 2026, 4:39:37 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is stuck-magenta-ikwextfx49-mmnp1be9hy.edgeone.app and was registered NaN years ago.

Submitted URL: https://stuck-magenta-ikwextfx49-mmnp1be9hy.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: 93%

1
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Standard hosting on edgeone.app
Low‑ranking domain but no suspicious activity
No external malicious scripts or links
Domain age information unavailable

Details

Page Title

Coffee Shop Semarang Tengah

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

social media network

(98%)

Domain Information

Domain 'stuck-magenta-ikwextfx49-mmnp1be9hy.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'stuck-magenta-ikwextfx49-mmnp1be9hy'. Count 7 characters in 'edgeone' holding 4 vowels versus 3 consonants. It segments into two 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://stuck-magenta-ikwextfx49-mmnp1be9hy.edgeone.app/

Page Load Overview

1.20s
Total Load Time
6
HTTP Requests
2
Domains
12.5 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:1,051 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network98% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
98%
government public service
32%
corporate business
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3146.75.122.208Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
343.152.26.58Singapore
AS139341ACE
62--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1107164F711C2320F2197B2B1E811CE18D4F4BA26CF1711A69A7FCA3FE6D4046866925F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:Dw5e99F5T/aHCk2NLfhMOCI5I6NbxJwSdRg5QrIitLZd+JgGK8uWYK8sNK8qQF:Dw5e99F5eHCk2NLtNSiGsqNMQF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3785:IAUQYWAwQCAQQAABAKQAERJAgIAAIACIAJNDAgAjAAAgKAAACAAACAAQARCIJAgEGAWEgIMCSlQKAILAYMhAICAAAggoAQgg

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:000000ffffffffff
Perceptual Hash:aa081be6f7f36430
Difference Hash:6971150e0e280a0a
Wavelet Hash:000000efc3efefef
Color Hash:#2d93d2

Other Hashes

Crop Resistant:6971150e0e280a0a,2107697133313109

Scan History

Scan history not available

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