Security Scan Report: baike-xje7mygxex.edgeone.app

Submitted: Apr 6, 2026, 6:12:06 PMCompleted: Apr 6, 2026, 6:13:19 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is baike-xje7mygxex.edgeone.app and was registered NaN years ago.

Submitted URL: https://baike-xje7mygxex.edgeone.app/Map_111.html

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

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The page hosts a game map without credential collection, but unknown subdomain, many redirects, and obfuscated scripts suggest moderate risk.

Risk Factors
Unknown subdomain age on a free hosting platform
Multiple redirects (8) increase suspicion
Low domain ranking in Cisco Umbrella
Highly obfuscated JavaScript with eval() usage
Safety Factors
HTTPS connection
No password or payment fields
No malicious Indicators of Compromise matches
No YARA malware detections
No network IDS alerts
Domain age information unavailable

Details

Page Title

传奇骨魔洞一层地图_骨魔洞一层怎么走图解_176传奇地图大全_盛大传奇骨魔洞一层地图

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

documentation technical

(86%)

Domain Information

The domain 'baike-xje7mygxex.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'baike-xje7mygxex'. The core label 'edgeone' covers 7 characters holding four vowels versus 3 consonants. Breaking it apart gives 2 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://baike-xje7mygxex.edgeone.app/Map_111.html

Page Load Overview

1.90s
Total Load Time
28
HTTP Requests
6
Domains
706 KB
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
Text Length:2,339 chars
Detector Agreement:67%

Website Classification

Primary Category

documentation technical86% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
86%
education learning
46%
adult content
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1043.159.107.113Singapore
943.169.13.127Singapore
943.152.26.58Singapore
283--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E5039F12F0F4152B0385B1CD2DD13B263DC35517D609AD22B27F1A9E2FDAF828E5761A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:sqMEiSvNJlirMRj1+o66hwTiG2ZzpGt2D2i25Sg922HGIRlDrODBJ8s821eCxtCw:jmLIGt2D2i25Sg922HZlOT8oeCxow

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40381:pKwBMBwAYcUFAOTJGQCwXDyEEAAMYRClKAEFiMEglwSIBk4ShAU6YGBJSQgAoochQIIiMLx7A05dAaB4IcKICZBII1IAIDko

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:00819f9fffffffff
Perceptual Hash:be3f6363611c1455
Difference Hash:41733634442c24a4
Wavelet Hash:00008080fffffefe
Color Hash:#87c5bd

Scan History

Scan history not available

Unable to load historical scan data