Security Scan Report: cms-bucket.ws.126.net.w.kunluncan.com

Submitted: Jan 24, 2026, 6:41:12 PMCompleted: Jan 24, 2026, 6:42:56 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is cms-bucket.ws.126.net.w.kunluncan.com and was registered NaN years ago.

Submitted URL: https://cms-bucket.ws.126.net.w.kunluncan.com

The Cisco Umbrella rank of the primary domain is #18,995 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Legitimate site with SSL/TLS mismatch; low risk but avoid transmitting sensitive data.

Risk Factors
SSL/TLS version or cipher mismatch (ERR_SSL_VERSION_OR_CIPHER_MISMATCH) indicating unsupported protocol
Safety Factors
Well‑established domain (>11 years old)
High Cisco Umbrella ranking (top 20 k)
No malicious Indicators of Compromise detected
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

cms-bucket.ws.126.net.w.kunluncan.com

Scan Type

public

Language

🇺🇸

English

(69% confidence)

Category

technology software

(71%)

Domain Information

The domain name 'cms-bucket.ws.126.net.w.kunluncan.com' uses the commercial generic top-level domain (.com), featuring subdomain 'cms-bucket.ws.126.net.w'. The second-level label 'kunluncan' is 9 characters long split between three vowels and 6 consonants. Splitting it apart reveals two words: kunlun, can. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cms-bucket.ws.126.net.w.kunluncan.com

Page Load Overview

0.48s
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
2163.181.92.207Germany
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19F048E773296063D86558498E05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:0fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszL2bMy8OldR:nhoC9JSqzzbs6o3Sj3gcrsf2eAf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:185027:5DKBACgUgQNBhEAAEAEU6tWADIkJLhmQARjACaCMSYMVUA0AANAmApYCuwFHkggsiIAAARaSCclgAgdRKgkDigiAICICKbIL

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:ffc7c7cfffffffff
Perceptual Hash:b131cecccc333333
Difference Hash:00181c1800000000
Wavelet Hash:3c1c040c0f3f3f3f
Color Hash:#2d8186

Other Hashes

Crop Resistant:00181c1800000000

Scan History

Scan history not available

Unable to load historical scan data