Summary
This website contacted 3 IPs in 2 countries across 3 domains to perform 44 HTTP transactions. The main domain is ch-fifafoot.com and was registered NaN years ago.
Submitted URL: https://ch-fifafoot.com/news/services
AI Security Verdict
Moderate Risk
Confidence: 72%
New, unranked gambling site with no credential collection; moderate risk due to age and lack of reputation.
Risk Factors
Safety Factors
Details
Page Title
404 没找到内容- 世界杯竞猜
Scan Type
public
Language
Chinese
Category
gambling betting
(86%)Domain Information
Domain 'ch-fifafoot.com' uses the commercial generic top-level domain (.com) with no subdomain. The second-level label 'ch-fifafoot' is 11 characters long with four vowels and 6 consonants, plus one hyphen. Word splitting yields three words: ch, fifa, foot. Expect four characters per word on average. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 12 | 201.5.88.163 | Hong Kong | AS134175UNIT A17,9F SILVERCORP INTL TOWER 707-713 NATHAN RD |
| 11 | 142.251.14.94 | United States | AS15169Google LLC |
| 11 | 142.251.14.95 | United States | AS15169Google LLC |
| 34 | 3 | - | - |
Detected Technologies3
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data