Security Scan Report: wsdjw002-aesz4h7wuf.edgeone.app

Submitted: Apr 2, 2026, 7:31:10 AMCompleted: Apr 2, 2026, 7:32:31 AMpubliccompleted
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Summary

This website contacted 8 IPs in 3 countries across 8 domains to perform 60 HTTP transactions. The main domain is wsdjw002-aesz4h7wuf.edgeone.app and was registered NaN years ago.

Submitted URL: https://wsdjw002-aesz4h7wuf.edgeone.app/

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

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Site contains malicious external links and exhibits several suspicious indicators; avoid and report.

Risk Factors
Malicious external link to dpdns.org
New/unknown-age subdomain on edgeone.app
Low domain ranking
Suspicious JavaScript constructor usage
Domain age information unavailable

Details

Page Title

youleshi

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

social media network

(78%)

Domain Information

The domain name 'wsdjw002-aesz4h7wuf.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'wsdjw002-aesz4h7wuf'. The second-level label 'edgeone' is 7 characters long split between four vowels and 3 consonants. Segmentation suggests 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://wsdjw002-aesz4h7wuf.edgeone.app/

Page Load Overview

9.12s
Total Load Time
55
HTTP Requests
8
Domains
3.3 MB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

Language Code:zh
Detection Confidence:60%
Script Type:Han
HTML Lang Attribute:zh-CN
Text Length:4,226 chars
Detector Agreement:50%

Website Classification

Primary Category

social media network78% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
78%
entertainment media
71%
blog personal website
56%
technology software
54%
documentation technical
40%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1318.245.31.27United States
AS16509Amazon.com, Inc.
6172.67.209.99United States
AS13335Cloudflare, Inc.
643.169.14.131Singapore
6155.102.51.1Frankfurt am Main, Hesse, Germany
AS24429Zhejiang Taobao Network Co.,Ltd
6163.181.58.166Unknown
6188.114.97.3United States
AS13335Cloudflare, Inc.
643.152.26.58Singapore
6101.226.26.45UnknownUnknown
558--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T120C31BB280F79A3B716341CBE299972A38EA401BC9F11B14B6BD17781FDCEE47903516

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:zzoYDyvVWoiCb8lMtjM1cy6aL6scN0vQymdCpOlPkV5L/ChUo9O:zzoYuvVJaL6scN0oBA5Lj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:119744:njo7Ax4QQDBgUBFWI6EiAgEAeAAohFgC44oqXMhg4lgOpKYHkhgiIPTDMFghCYICCAAOwwCgI7xl0AYMIIliwGQiLgZABQQC

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:e1e181f19d99fdff
Perceptual Hash:eb6ce59b95841c98
Difference Hash:43432323313b4bdb
Wavelet Hash:e1e181818989f9ff
Color Hash:#931f67

Scan History

Scan history not available

Unable to load historical scan data