Security Scan Report: o35-91sds6t9y-o2w-y45f-dpnodougohin.edgeone.app

Submitted: Jun 21, 2026, 9:10:06 AMCompleted: Jun 21, 2026, 9:11:23 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 o35-91sds6t9y-o2w-y45f-dpnodougohin.edgeone.app and was registered NaN years ago.

Submitted URL: https://o35-91sds6t9y-o2w-y45f-dpnodougohin.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

The site shows no malicious indicators and lacks credential collection; it is low risk.

Risk Factors
Subdomain on hosting platform (.edgeone.app) with unknown creation date
Safety Factors
No forms or fields that collect credentials
No malicious external resources or redirects
Content classified as technical documentation
Domain age information unavailable

Details

Page Title

多功能自定义输入法

Scan Type

public

Language

🇰🇷

Korean

(50% confidence)

Category

documentation technical

(72%)

Domain Information

Within the application-focused generic top-level domain (.app), 'o35-91sds6t9y-o2w-y45f-dpnodougohin.edgeone.app' is registered and includes subdomain 'o35-91sds6t9y-o2w-y45f-dpnodougohin'. The second-level label 'edgeone' is 7 characters long holding 4 vowels versus three consonants. Splitting it apart reveals two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://o35-91sds6t9y-o2w-y45f-dpnodougohin.edgeone.app/

Page Load Overview

0.58s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇰🇷Korean
Code: ko
Confidence:50%
Script:Hangul
Direction:ltr

Detection Details

Language Code:ko
Detection Confidence:50%
Script Type:Hangul
HTML Lang Attribute:zh-CN
Text Length:454 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as ko

Website Classification

Primary Category

documentation technical72% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
72%
healthcare medical
69%
news media journalism
64%
finance banking
62%
adult content
55%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1838262B864F53AF14793948B128BD235FA72BE17AD9CB6047E9DA6D01FE6C15048F00B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:h+Y77tmnLHsT0c/DahkBKFbvKzezg1ME6QEKqCWZrVd6j:hP7waahkBgOiU6TKgu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18133:EMsYJQqQGuUCECl0CmCIMpiI2ACAkAAjJK4ikpTiCDyZJgKlhgWmomFZuXMCPwSNQg1i/kE0OACUFcqUMgHCAIEjyBxAACU9

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:ff00000000ffffff
Perceptual Hash:971585971585d78d
Difference Hash:c000000080480000
Wavelet Hash:ff00000000ffffff
Color Hash:#6ce0b9

Other Hashes

Crop Resistant:c000000080480000

Scan History

Scan history not available

Unable to load historical scan data