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Security Scan Report: awkward-chocolate-2195n7y1ad-yusj5bbrjj.edgeone.app

Submitted: Apr 11, 2026, 1:44:26 AMCompleted: Apr 11, 2026, 1:45:45 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 105 HTTP transactions. The main domain is awkward-chocolate-2195n7y1ad-yusj5bbrjj.edgeone.app and was registered NaN years ago.

Submitted URL: https://awkward-chocolate-2195n7y1ad-yusj5bbrjj.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: 92%

2
Risk Score

No malicious activity detected; site appears benign.

Safety Factors
Hosted on reputable edgeone.app platform
No credential or payment collection forms
No network IDS alerts
Low Cisco Umbrella ranking is not a strong indicator without brand impersonation
No cross‑origin credential exfiltration detected
Domain age information unavailable

Details

Page Title

本気プロジェクト 医療編 第5弾

Scan Type

public

Language

🇯🇵

Japanese

(80% confidence)

Category

healthcare medical

(91%)

Domain Information

The domain 'awkward-chocolate-2195n7y1ad-yusj5bbrjj.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'awkward-chocolate-2195n7y1ad-yusj5bbrjj'. The core label 'edgeone' covers 7 characters containing four vowels alongside three consonants. It segments into 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://awkward-chocolate-2195n7y1ad-yusj5bbrjj.edgeone.app/

Page Load Overview

2.50s
Total Load Time
100
HTTP Requests
3
Domains
2.2 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:1,084 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical91% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
91%
social media network
83%
government public service
65%
adult content
65%
education learning
65%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
34192.178.183.94United States
AS15169Google LLC
3343.152.26.58Singapore
AS139341ACE
33192.178.183.95United States
AS15169Google LLC
1003--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1277265A552B19036A42798D2B6565FAF3B88D907C80BC7643BFC05489FC8DE5EA13F4C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:4eYDu8XdDDPM4VyGaEFy94VeH7Lx1ZKdyYVYGVKVBRq0sT:4Bu8XdDDPnVYEFy+VeH7Lx1Z85VYGVKI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17474:SEwVKLJCNAUG0AACJLoCQFAQEoqAhgmViEETZjhiGB5BUMSMBIkDCjFIKSMBATwMKDQ6KXDgBJAYClDlgWkIDGAABFh0RYQg

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:00000000383c3c3c
Perceptual Hash:8a74cf328832dbcd
Difference Hash:6161690d71696961
Wavelet Hash:393131213d3d3d3d
Color Hash:#b0c587

Other Hashes

Crop Resistant:4145554575a04161,6161690d71696961,0000209090200080

Scan History

Scan history not available

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