Security Scan Report: m.page-fifacup.com

Redirected to:
https://m.page-fifacup.com/news/blog
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Submitted: May 3, 2026, 5:39:05 PMCompleted: May 3, 2026, 5:40:22 PMpubliccompleted
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Summary

This website contacted 3 IPs in 3 countries across 3 domains to perform 55 HTTP transactions. The main domain is m.page-fifacup.com and was registered NaN years ago.

Submitted URL: http://m.page-fifacup.com/news/blog

Effective URL: https://m.page-fifacup.com/news/blogRedirected

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

404 没找到内容- 世界杯

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

news media journalism

(88%)

Domain Information

Domain 'm.page-fifacup.com' uses the commercial generic top-level domain (.com) with subdomain 'm'. The second-level label 'page-fifacup' is 12 characters long split between five vowels and six consonants, plus 1 hyphen. Splitting it apart reveals three words: page, fifa, cup. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://m.page-fifacup.com/news/blog

Page Load Overview

5.27s
Total Load Time
100
HTTP Requests
3
Domains
236 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
HTML Lang Attribute:zh_CN
Text Length:566 chars
Detector Agreement:50%
Language mismatch: Declared as zh_cn but detected as zh

Website Classification

Primary Category

news media journalism88% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
88%
entertainment media
71%
gambling betting
70%
government public service
47%
adult content
32%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
34111.45.3.198China
AS9808China Mobile Communications Group Co., Ltd.
33103.54.60.162United States
AS138415Yancy Limited
33154.205.101.147Seychelles
AS9294GNET INC.
1003--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CEF2F26240F090570A42D1C07BA0A7EE7EC3AA07D71B4A5479BD0FAA2F87ED6CC53759

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:W3A471lcI4zGgipmEuOcC5rkPe8Ip7WfkNR3SREjUWYRWfgSRkIrSTa4yXY:WpaI4zJ8cCN8EISRDOTa4yXY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:35120:iCZIBAAAwJErwKyALGmB1BYEIkQVYMkZxAsTATdkGhCBpBsWBkGACRBdGQVXAABAZEAg1iBEzIBIgAgAAIgkV4LZAVvSAq0s

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:ffc3c3c3c3c3c3c3
Perceptual Hash:ecce9293866ec334
Difference Hash:48062626060f0f16
Wavelet Hash:ffc38181c3c3c3c3
Color Hash:#d24b2d

Scan History

Scan history not available

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