Security Scan Report: www.fengshuiedu.cn

Submitted: Jan 20, 2026, 11:44:58 AMCompleted: Jan 20, 2026, 11:46:55 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 20 HTTP transactions. The main domain is fengshuiedu.cn and was registered NaN years ago.

Submitted URL: https://www.fengshuiedu.cn

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well-established domain age
No malicious Indicators of Compromise
No forms or sensitive data collection
Domain age information unavailable

Details

Page Title

山东中伟智云网络科技

Scan Type

public

Language

🇩🇰

Danish

(72% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'www.fengshuiedu.cn' uses the Chinese country-code top-level domain (.cn); it also runs on subdomain 'www'. Its registrable label 'fengshuiedu' stretches across 11 characters with five vowels and 6 consonants. Splitting it apart reveals three words: feng, shui, edu. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.fengshuiedu.cn

Page Load Overview

1.82s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇩🇰Danish
Code: da
Confidence:72%
Script:Latin
Direction:ltr

Detection Details

Language Code:da
Detection Confidence:72%
Script Type:Latin
Text Length:33 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2106.13.72.169China
AS38365Beijing Baidu Netcom Science and Technology Co., Ltd.
043.159.107.113China
0157.255.63.48China
0103.235.46.102China
24--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FF2276330948AD3382E3C4C53274F78EF2D6966ADE13C950F2FF95595BE9E828805539

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:IdsLf3aBzJaW90tZBFppuEN8xDDr2hfKxh:IKLyBJaWitbFfNEr2hixh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10001:MANAYVKRCWkFgSBQUECAZuLpI0U8IOdEdIICwIAA4ERNlABKDggMCqqapQQDcEdEURmGdUQJoCQGAhIBIhPQCgJBLKiAAk+U

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:ffffffff0000ffff
Perceptual Hash:c58abc3caadd2a1c
Difference Hash:67c0c200c0840085
Wavelet Hash:bf7e7c7c00000c0c
Color Hash:#ac5391

Scan History

Scan history not available

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