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Security Scan Report: image-linyun-9o7w1k3el2.edgeone.app

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Submitted: May 8, 2026, 2:55:34 PMCompleted: May 8, 2026, 2:57:23 PMpubliccompleted
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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 image-linyun-9o7w1k3el2.edgeone.app and was registered NaN years ago.

Submitted URL: https://image-linyun-9o7w1k3el2.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: 72%

4
Risk Score

The site carries moderate risk mainly because the subdomain is newly created and has a low reputation, but no malicious activity is currently observed.

Risk Factors
Unknown subdomain age on hosting platform
Low reputation ranking
Potential for future abuse due to easy subdomain creation
Safety Factors
No login or payment forms
No malicious JavaScript patterns detected
No network‑level IDS alerts
No credential exfiltration observed
Domain age information unavailable

Details

Page Title

凌云·LinYun 图片托管站

Scan Type

public

Language

🇸🇪

Swedish

(20% confidence)

Category

healthcare medical

(76%)

Domain Information

Domain 'image-linyun-9o7w1k3el2.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'image-linyun-9o7w1k3el2'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and three consonants. Tokenizing the label suggests 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://image-linyun-9o7w1k3el2.edgeone.app/

Page Load Overview

0.52s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:20%
Script:Latin
Direction:ltr

Detection Details

Language Code:sv
Detection Confidence:20%
Script Type:Latin
Text Length:95 chars
Detector Agreement:67%

Website Classification

Primary Category

healthcare medical76% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
76%
news media journalism
61%
adult content
60%
finance banking
57%
documentation technical
46%

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

T1C1D0228E08B22470CA2C75400D92A3C10C68BEFD7655EB9860D8622A0DB9917E813BE0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:haxmYk+qR8HIL8siszEdxscL8siwkekQz:haxTYLV4x5LT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:b503d850b74fd0b66b59b767d9a871e4

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:7fffffffffffffff
Perceptual Hash:83030707070f3fff
Difference Hash:c000000000000000
Wavelet Hash:70f0f0f000000000
Color Hash:#3a786b

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

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