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Security Scan Report: stable-coffee-9jgcixanvf-rjl8m6q0jb.edgeone.app

Submitted: May 19, 2026, 6:04:07 AMCompleted: May 19, 2026, 6:06:09 AMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 141 HTTP transactions. The main domain is stable-coffee-9jgcixanvf-rjl8m6q0jb.edgeone.app and was registered NaN years ago.

Submitted URL: https://stable-coffee-9jgcixanvf-rjl8m6q0jb.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

The site impersonates a corporate brand, has an unknown‑age subdomain, low reputation, and a critical C2 beacon alert, indicating high‑risk malware distribution.

Risk Factors
Brand impersonation with domain mismatch
Unknown subdomain age on a hosting platform
Low domain reputation (rank > 100k)
Critical malware C2 beacon alert from IDS
Domain age information unavailable

Details

Page Title

株式会社ワークステーション｜運べないモノは、ない。24時間500台の物流パートナー

Scan Type

public

Language

🇯🇵

Japanese

(80% confidence)

Category

corporate business

(69%)

Domain Information

The domain name 'stable-coffee-9jgcixanvf-rjl8m6q0jb.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'stable-coffee-9jgcixanvf-rjl8m6q0jb'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus 3 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://stable-coffee-9jgcixanvf-rjl8m6q0jb.edgeone.app/

Page Load Overview

47.25s
Total Load Time
138
HTTP Requests
5
Domains
3.7 MB
Total Size

Language Analysis

Primary Language

🇯🇵Japanese
Code: ja
Confidence:80%
Script:Mixed
Direction:ltr

Detection Details

Language Code:ja
Detection Confidence:80%
Script Type:Mixed
HTML Lang Attribute:ja
Text Length:4,984 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business69% confidence
Type: static
Method: ml+structural

All Detected Categories

corporate business
69%
government public service
44%
adult content
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
30101.33.10.57Frankfurt am Main, Hesse, Germany
AS139341ACE
27146.75.122.208Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
27142.251.20.94United States
AS15169Google LLC
27163.44.185.183Japan
AS7506GMO Internet Group, Inc.
27142.251.13.95United States
AS15169Google LLC
1385--

Detected Technologies1

WordPress
75%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19653A774B6E1A036A06BC5D27489739F7550E807D81B03A0FABCC5548BC7EEBDE06B19

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:RDNvmfhIIOS8JbWT70i7xB0CtSFNlvudJJkbJyIJLJQBJBRm7ckCMEx8plFvKEJu:tNvmffsXrwQJSTL2Mwm064nedUeSiBse

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:63838:wAyGyqhQooQpLBgAlCAyAAaiXHJRcyi2VEuiB1E0aTRbkBJwsARw2mbYIFMGDAiAMjjYqCAIGIEBDIVRAUAB01sRwCgQREAG

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:ff0078f8706060d0
Perceptual Hash:caa9baa38ccb88e3
Difference Hash:23d1f1b1e1c9c9b1
Wavelet Hash:ff1878f8f060e0f0
Color Hash:#bfa240

Other Hashes

Crop Resistant:23d1f1b1e1c9c9b1,d0d0b0e0c0c8c8b0

Scan History

Scan history not available

Unable to load historical scan data