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Security Scan Report: private-coffee-mscmjlhg00-9wirooadnt.edgeone.app

Submitted: Feb 21, 2026, 10:23:23 PMCompleted: Feb 21, 2026, 10:24:32 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is private-coffee-mscmjlhg00-9wirooadnt.edgeone.app and was registered NaN years ago.

Submitted URL: https://private-coffee-mscmjlhg00-9wirooadnt.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%

2
Risk Score

No malicious activity detected; the site appears safe.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
Hosted on a reputable hosting platform (edgeone.app) with no red flags
Domain age information unavailable

Details

Page Title

private-coffee-mscmjlhg00-9wirooadnt.edgeone.app

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

news media journalism

(30%)

Domain Information

Within the application-focused generic top-level domain (.app), 'private-coffee-mscmjlhg00-9wirooadnt.edgeone.app' is registered; it also runs on subdomain 'private-coffee-mscmjlhg00-9wirooadnt'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus three consonants. Breaking it apart gives 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://private-coffee-mscmjlhg00-9wirooadnt.edgeone.app/

Page Load Overview

0.91s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:53 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

news media journalism30% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T118048F77329A063985558498F05B83099F21B143F506C8BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:8fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszy2bMy8Old2:fhoC9JSqzzbs6o3Sj3gcrs+2eAk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184631:GxSJWDQoIsRAi3am8CrgZCAgUFQDEmRmXwAEeBAOoBVGIrGIAAAiRkEgAigjQYFggJBIikEirDcIcvVoQMWMkZJtDGFYBMhA

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:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#89d279

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data