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Security Scan Report: disappointed-aquamarine-v3n9f99sph-e9psu7b86q.edgeone.app

Submitted: Mar 21, 2026, 2:45:58 AMCompleted: Mar 21, 2026, 2:47:09 AMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 6 domains to perform 91 HTTP transactions. The main domain is disappointed-aquamarine-v3n9f99sph-e9psu7b86q.edgeone.app and was registered NaN years ago.

Submitted URL: https://disappointed-aquamarine-v3n9f99sph-e9psu7b86q.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

Site lacks credential collection but shows many eval() calls and low reputation; treat as moderate risk.

Risk Factors
High number of eval() calls (dynamic code execution) without clear purpose
Subdomain on a free hosting platform with unknown age
Low reputation ranking (Cisco Umbrella rank > 100k)
Safety Factors
No forms collecting passwords, emails, or payment information
No malicious Indicators of Compromise detected
No YARA malware patterns found in JavaScript
No network IDS alerts triggered
Page served over HTTPS (implied by edgeone.app)
Domain age information unavailable

Details

Page Title

女性のキャリア・副業・フリーランス支援

Scan Type

public

Language

🇯🇵

Japanese

(80% confidence)

Category

adult content

(84%)

Domain Information

The domain name 'disappointed-aquamarine-v3n9f99sph-e9psu7b86q.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'disappointed-aquamarine-v3n9f99sph-e9psu7b86q'. The registrable portion 'edgeone' spans 7 characters split between four vowels and three consonants. Breaking it apart gives 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://disappointed-aquamarine-v3n9f99sph-e9psu7b86q.edgeone.app/

Page Load Overview

0.33s
Total Load Time
89
HTTP Requests
6
Domains
1.7 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:2,701 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content84% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
84%
social media network
66%
education learning
64%
blog personal website
41%
government public service
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2143.152.26.58Singapore
AS139341ACE
1754.238.163.45Tokyo, Tokyo, Japan
AS16509Amazon.com, Inc.
17216.58.206.42United States
AS15169Google LLC
17108.138.26.79UnknownUnknown
17142.251.208.163United States
AS15169Google LLC
895--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BCD2519BE6F300627803A4B53B6A57A732248C17E546C9357FBC6208CF89E94EC9375D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:DCbIXT5zA4PKhoENzKf0gg3rNRsVF5PJnrwFilFX18vENN/cxG4YRV1:7XtzrTAzEg3rbsVbFllp1yENNR1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30466:ACQCDIBkBF5sMVaiUIyNeyAAJBYpMEQqJJEghAQY5RAYiQg0QEhEPDDBGmYHGANITghAkcQkGgBCFAiJiAyE2GKoQKDcmeJA

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:c3c3c3e7ffffffff
Perceptual Hash:b03474cfcece6431
Difference Hash:9696969671697171
Wavelet Hash:000101013d3d3f3f
Color Hash:#dc6ce0

Other Hashes

Crop Resistant:9696969671697171,009090b03072363c

Scan History

Scan history not available

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