Security Scan Report: netease-publish-web.w.alikunlun.com

Submitted: Mar 12, 2026, 11:56:26 PMCompleted: Mar 12, 2026, 11:58:15 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is netease-publish-web.w.alikunlun.com and was registered NaN years ago.

Submitted URL: https://netease-publish-web.w.alikunlun.com

The Cisco Umbrella rank of the primary domain is #22,332 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 502 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

netease-publish-web.w.alikunlun.com

Scan Type

public

Language

🇺🇸

English

(69% confidence)

Category

technology software

(71%)

Domain Information

The domain 'netease-publish-web.w.alikunlun.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'netease-publish-web.w'. Its registrable label 'alikunlun' stretches across 9 characters split between 4 vowels and 5 consonants. Tokenizing the label suggests two words: ali, kunlun. Median word length is 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://netease-publish-web.w.alikunlun.com

Page Load Overview

0.47s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:69%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:69%
Script Type:Latin
Text Length:104 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software71% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
71%
documentation technical
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2155.102.51.1Germany
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T157048E77329A063986558498E05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:6fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsze2bMy8Oldp:BhoC9JSqzzbs6o3Sj3gcrsC2eAP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:185017:p4wIBNwKWb2QQEUCeUAsAUxBAQoCMQ2IRQwgGWOCgIKYQIgY4obJEJCLoVNFwgUYYMQRQF4oDkwRAQywBrY7oYGKAPKhNBKY

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:ffc7c3cfffffffff
Perceptual Hash:b131cecccc633333
Difference Hash:00181c1400000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#e06cbd

Other Hashes

Crop Resistant:00181c1400000000

Scan History

Scan history not available

Unable to load historical scan data