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Security Scan Report: passing-violet-re9smgmkeh-w860khhv5h.edgeone.app

Submitted: Apr 30, 2026, 3:50:39 AMCompleted: Apr 30, 2026, 3:51:56 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is passing-violet-re9smgmkeh-w860khhv5h.edgeone.app and was registered NaN years ago.

Submitted URL: https://passing-violet-re9smgmkeh-w860khhv5h.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

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

Risk Factors
Unknown subdomain age (could be brand new)
Low Cisco Umbrella ranking
Hosted on a generic developer subdomain platform
Safety Factors
No forms or payment fields
No credential exfiltration or external links
No malicious IoC or YARA matches
No network IDS alerts
Domain age information unavailable

Details

Page Title

【最新】AI×MLM自動化システムDBS

Scan Type

public

Language

🇯🇵

Japanese

(80% confidence)

Category

technology software

(56%)

Domain Information

You're looking at domain 'passing-violet-re9smgmkeh-w860khhv5h.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'passing-violet-re9smgmkeh-w860khhv5h'. The registrable portion 'edgeone' spans 7 characters split between four vowels and three consonants. Breaking it apart gives two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://passing-violet-re9smgmkeh-w860khhv5h.edgeone.app/

Page Load Overview

0.42s
Total Load Time
2
HTTP Requests
1
Domains
6 KB
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:710 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software56% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
56%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T175E1822E92F31226B813D0A04FEA6B067B40DC67D807EEB47BAD62649F809D4D85371C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:WtVf5l0tOhFxz714V5CsJunev8HxtZuanM+yKEIJh8V/9Puzbi:Wrf5++F9h4VwsJL+vuDKEIJh8lZMbi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6984:SIoACNEE4UkglEEAESZAkEBkBwAIFjUQ8IJQARAAQgIwgBCBBEMAGAcQW0UgCARChHAgAJGnBBkMABGiA5LdVCiLASZMiASC

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:c3c3ffffefffffff
Perceptual Hash:b3333233332699ce
Difference Hash:8e8e621a1e180430
Wavelet Hash:c0c0cccc0207213d
Color Hash:#1f933a

Other Hashes

Crop Resistant:8e8e621a1e180430,fff7f7f3f369fbff

Scan History

Scan history not available

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