Security Scan Report: melted-coffee-wmg56bali3-ltfmrgr86f.edgeone.app

Submitted: Mar 20, 2026, 3:29:19 PMCompleted: Mar 20, 2026, 3:30:27 PMpubliccompleted
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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 melted-coffee-wmg56bali3-ltfmrgr86f.edgeone.app and was registered NaN years ago.

Submitted URL: https://melted-coffee-wmg56bali3-ltfmrgr86f.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 suspicious activity detected; the site appears legitimate.

Safety Factors
No credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware
Low JavaScript obfuscation
Standard hosting platform subdomain
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

news media journalism

(34%)

Domain Information

Domain 'melted-coffee-wmg56bali3-ltfmrgr86f.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'melted-coffee-wmg56bali3-ltfmrgr86f'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside three consonants. Segmentation suggests 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://melted-coffee-wmg56bali3-ltfmrgr86f.edgeone.app/

Page Load Overview

0.86s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:95 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

news media journalism34% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
34%
documentation technical
30%
government public service
26%
healthcare medical
26%

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

T16912D8CAEBE706C8A81BC0682FFF5725222DE053C449C95DB9AE0F548F0518875FB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB2ohjjXh1RaXQl:KrzhNK/lMHmGgdkqC5d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9652:IIUD13ICDQMwtJ0UIU2QjAciCAGEDQYAMloJAgAKiDAaAJEYBcQ2y1PcCacCIMaEgTicVQgmTEFaBQpFABMGSCoTOSaWABEP

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:dcfcfcf0e0e0c0c0
Perceptual Hash:da9a986c6c65c3c3
Difference Hash:3030700000000000
Wavelet Hash:dcfcfce0f0e0e0c0
Color Hash:#783a41

Other Hashes

Crop Resistant:3030700000000000

Scan History

Scan history not available

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