Security Scan Report: fafafa.ai

Submitted: Jan 24, 2026, 4:36:10 PMCompleted: Jan 24, 2026, 4:37:42 PMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 5 domains to perform 1 HTTP transaction. The main domain is fafafa.ai and was registered NaN years ago.

Submitted URL: https://fafafa.ai

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Well‑established domain (>3 years old)
No malicious Indicators of Compromise
No credential or payment collection forms
Meta description aligns with legitimate AI game platform
No brand impersonation detected
Domain age information unavailable

Details

Page Title

FaWeb 基于AI的游戏站无代码快速上站平台 | Fast finder,Fast website,Fast finance

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

technology software

(72%)

Domain Information

The domain name 'fafafa.ai' uses the Anguillan country-code top-level domain (.ai) while skipping any subdomain. The second-level label 'fafafa' is 6 characters long with 3 vowels and 3 consonants. Breaking it apart gives two words: faf, afa. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fafafa.ai

Page Load Overview

2.90s
Total Load Time
49
HTTP Requests
6
Domains
134 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:en
Text Length:1,726 chars
Detector Agreement:60%
Language mismatch: Declared as en but detected as zh

Website Classification

Primary Category

technology software72% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
72%
entertainment media
70%
adult content
52%
government public service
46%
gambling betting
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13142.250.201.72United States
AS15169GOOGLE
12104.16.79.73United States
12192.178.170.95United States
AS15169GOOGLE
12104.21.79.35United States
AS13335CLOUDFLARENET
494--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CFB30A3D7018EBDAE0D78DCEA3397F3A605C8167E26BC42C869DC5250386D753EA7984

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:8FybEc9XkWId2VG9wlMO2BYMMpSKGSfH6jBNC:8CUYMMcKGc6S

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:109513:ioWERFpACRAZAfCWEOCgAMCigNQiiKIsL7EF2ADZkYFDX2JYjgCggSZKCEwERLIgiRARraFLpVUDCQkUuFIgegACaWGgQwGA

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:000000000000ffff
Perceptual Hash:aa08f7038ddd09e7
Difference Hash:f1053131cdd10f00
Wavelet Hash:1b0101197d01ffff
Color Hash:#4840bf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data