Security Scan Report: mere-coffee-uf8xw5r3dz-87ycqbsu3t.edgeone.app

Submitted: Feb 26, 2026, 5:11:03 PMCompleted: Feb 26, 2026, 5:12:12 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 mere-coffee-uf8xw5r3dz-87ycqbsu3t.edgeone.app and was registered NaN years ago.

Submitted URL: https://mere-coffee-uf8xw5r3dz-87ycqbsu3t.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: 85%

3
Risk Score

Low risk site offering a music file; no malicious activity detected.

Risk Factors
Subdomain on hosting platform with unknown creation date (moderate suspicion)
Low reputation ranking (Cisco Umbrella rank 455,732)
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
No JavaScript malware patterns identified
No network IDS alerts detected
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(53% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'mere-coffee-uf8xw5r3dz-87ycqbsu3t.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'mere-coffee-uf8xw5r3dz-87ycqbsu3t'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus three consonants. Splitting it apart reveals 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mere-coffee-uf8xw5r3dz-87ycqbsu3t.edgeone.app/

Page Load Overview

0.46s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:53%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:147 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

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
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

T1A402C6CEEBA305C9A82BC4782FFB5324222DE057C449C95DB99E4F548F4518875EB3B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB6z6h1RaXQl:KrzhNK/lMHmGgdkqB6d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8923:IgUC3nACJQNQPDUVAc2AlAIi6ACEDYwAMlALQAgSiDKQAIEoAMR0w1KASYfOAPaAgTy83QAmSExaBAhBAEIGiDpCOiaWASEB

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:dcfcfce0e0e0c0c0
Perceptual Hash:d898989c6c6d63e3
Difference Hash:3038100000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#5354ac

Other Hashes

Crop Resistant:3038100000000000

Scan History

Scan history not available

Unable to load historical scan data