Security Scan Report: managing-coffee-yejphw1l7j-t7vu562usl.edgeone.app

Submitted: May 14, 2026, 5:56:48 AMCompleted: May 14, 2026, 5:59:20 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is managing-coffee-yejphw1l7j-t7vu562usl.edgeone.app and was registered NaN years ago.

Submitted URL: https://managing-coffee-yejphw1l7j-t7vu562usl.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: 72%

2
Risk Score

The site shows no malicious activity, lacks credential forms, and only has low‑risk indicators; treat as low risk.

Risk Factors
Subdomain on hosting platform (creation date unknown)
Low Cisco Umbrella ranking (455,732) without brand claim
Safety Factors
No login, payment, or credential collection forms
No external malicious links or domains
JavaScript obfuscation score is low (standard minification)
No cross‑origin credential exfiltration observed
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

news media journalism

(33%)

Domain Information

Domain 'managing-coffee-yejphw1l7j-t7vu562usl.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'managing-coffee-yejphw1l7j-t7vu562usl'. Count 7 characters in 'edgeone' with four vowels and three consonants. Breaking it apart gives two 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://managing-coffee-yejphw1l7j-t7vu562usl.edgeone.app/

Page Load Overview

1.41s
Total Load Time
2
HTTP Requests
1
Domains
3 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:56 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

news media journalism33% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
33%
healthcare medical
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1101.33.10.10Frankfurt am Main, Hesse, Germany
1101.33.10.57Frankfurt am Main, Hesse, Germany
22--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19F02C5CAEBA305C9A82BC4682FFF5724222DE057C448CD5DB9AE5F548F0518875EB3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:GrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBbGh1RaXQl:GrzhNK/lMHmGgdkqxd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8692:gpYiEIZwTCIXEtohIQAQC6NhIIQBABflgFYEBhA6EkBFzBRAVwASikA8yXYAo1PGhBDQQQjMGwWsZSAMYJhUKiRkYQIAIByG

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:dcfcfce0e0c0c080
Perceptual Hash:de9898386d6563c3
Difference Hash:3030700000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#90c587

Other Hashes

Crop Resistant:3030700000000000

Scan History

Scan history not available

Unable to load historical scan data