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Security Scan Report: central-coffee-fz6lngajku-gwzku3st8b.edgeone.app

Submitted: May 15, 2026, 10:59:42 AMCompleted: May 15, 2026, 11:02:58 AMpubliccompleted
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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 central-coffee-fz6lngajku-gwzku3st8b.edgeone.app and was registered NaN years ago.

Submitted URL: https://central-coffee-fz6lngajku-gwzku3st8b.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: 78%

2
Risk Score

Low risk site; no malicious activity detected, but subdomain age is unknown.

Risk Factors
Unknown subdomain age (could be newly created)
Low domain ranking without reputable brand association
Safety Factors
No login, payment, or credential collection forms
No malicious JavaScript or obfuscation
No external malicious links or network alerts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(74% confidence)

Category

unknown

(0%)

Domain Information

The domain 'central-coffee-fz6lngajku-gwzku3st8b.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'central-coffee-fz6lngajku-gwzku3st8b'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside three consonants. It segments into two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://central-coffee-fz6lngajku-gwzku3st8b.edgeone.app/

Page Load Overview

0.87s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:74%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:74%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:72 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
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D502C6CAEB9305C9A81BC0782FFB5724222DE057C408CD5DB9AE1F548F4518875EB3B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBCYh1RaXQl:KrzhNK/lMHmGgdkqEd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8740:YAUC1nECpYsQNBWcAU2ihAQiSQCODQQANFAJAKACzDKUAIEIQeR0wyKQCaeCgtaAoTycVQEmSMhaBAjBAAIXCSoCOCbWRAUB

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:da9a983c6c6563c3
Difference Hash:3030500000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#79ced2

Other Hashes

Crop Resistant:3030500000000000

Scan History

Scan history not available

Unable to load historical scan data