Security Scan Report: fy-libra.bet

Redirected to: https://fy-libra.bet/#/pages/index/home

Site favicon
Submitted: Jan 14, 2026, 11:22:23 PMCompleted: Jan 14, 2026, 11:24:00 PMpubliccompleted
Loading additional data...

Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 106 HTTP transactions. The main domain is fy-libra.bet and was registered NaN years ago.

Submitted URL: https://fy-libra.bet/

Effective URL: https://fy-libra.bet/#/pages/index/homeRedirected

AI Security Verdict

Moderate Risk

Confidence: 70%

6
Risk Score

New site with no obvious malicious elements; moderate risk.

Risk Factors
Brand‑new domain (< 7 days old)
Unranked domain (low reputation)
Safety Factors
No forms collecting passwords, emails, or payment data
No malicious Indicators of Compromise matches
Served over HTTPS
Domain age information unavailable

Details

Page Title

FY-LIBRA

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

adult content

(76%)

Domain Information

Domain 'fy-libra.bet' uses the .bet top-level domain with no subdomain. The registrable portion 'fy-libra' spans 8 characters split between 2 vowels and 5 consonants, along with one hyphen. Word splitting yields 2 words: fy, libra. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fy-libra.bet/

Page Load Overview

2.89s
Total Load Time
27
HTTP Requests
5
Domains
2.1 MB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:pt
Text Length:2,920 chars
Detector Agreement:67%

Website Classification

Primary Category

adult content76% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
76%
gambling betting
60%
corporate business
42%
cryptocurrency blockchain
41%
phishing scam
35%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7104.18.1.95United States
AS13335CLOUDFLARENET
4163.181.58.166China
4104.18.14.219United States
4124.220.203.60Shanghai, Shanghai, China
AS45090Shenzhen Tencent Computer Systems Company Limited
4149.154.167.99London, England, United Kingdom
AS62041Telegram Messenger Inc
4104.18.22.237United States
AS13335CLOUDFLARENET
276--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12784F736B21E693B543BC86875E0E75C4A15BB23C6110A54FA2B2EFD5EC7FE20A71704

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:xYnqX+NyV2q3zbKpoL9ANoi4SFWVc035tYrxxfdpXzXQpwShzNIKbrvlDD:xYnIK9sgLcwSRl/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:394179:UMtkKAJwAcDKFQQAAIAygCAEFAgTQ5oCGkFGQFAhCAgTxINxgQOuEiwZsFqJCKMBpEggQaITDCAmy+BkQAIFxUkYAAKANQRR

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:c3c3c7c7c3ffdfc3
Perceptual Hash:b033339933997333
Difference Hash:4c16161606b2964c
Wavelet Hash:00000000031b0b03
Color Hash:#934c1f

Scan History

Scan history not available

Unable to load historical scan data