Security Scan Report: futures.flytogarden.com

Redirected to: https://www.flytogarden.com/futures/BTC_USDT

Submitted: Apr 1, 2026, 11:25:37 AMCompleted: Apr 1, 2026, 11:27:41 AMpubliccompleted
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Summary

This website contacted 27 IPs in 4 countries across 29 domains to perform 293 HTTP transactions. The main domain is flytogarden.com and was registered NaN years ago.

Submitted URL: https://futures.flytogarden.com

Effective URL: https://www.flytogarden.com/futures/BTC_USDTRedirected

The Cisco Umbrella rank of the primary domain is #230,080 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 82%

7
Risk Score

The page mimics MEXC on an unrelated domain; while no forms are present, the brand impersonation makes it high‑risk phishing.

Risk Factors
Brand impersonation (MEXC branding on unrelated domain)
Low Cisco Umbrella ranking for a site claiming a major brand
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by attention_required bot protection. Our scanner was challenged or blocked during access.

Page Title

68,570.5 [BTCUSDT] Futures, USDT-Margined Perpetual Contract | MEXC

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

cryptocurrency blockchain

(82%)

Domain Information

Domain 'futures.flytogarden.com' uses the commercial generic top-level domain (.com) and includes subdomain 'futures'. The core label 'flytogarden' covers 11 characters split between 3 vowels and 8 consonants. Word splitting yields 3 words: fly, to, garden. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://futures.flytogarden.com

Page Load Overview

8.81s
Total Load Time
378
HTTP Requests
23
Domains
1.0 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:3,858 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain82% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
82%
finance banking
61%
documentation technical
44%
gambling betting
39%
government public service
30%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14142.251.20.97United States
AS15169Google LLC
1413.159.110.147Tokyo, Tokyo, Japan
AS16509Amazon.com, Inc.
14172.66.0.227United States
AS13335Cloudflare, Inc.
1477.88.21.119Russia
AS13238YANDEX LLC
14184.24.77.33Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1435.72.134.101Tokyo, Tokyo, Japan
AS16509Amazon.com, Inc.
1434.143.76.2UnknownUnknown
1423.48.23.35Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
14162.159.141.170United States
AS13335Cloudflare, Inc.
1434.143.74.2UnknownUnknown
37827--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19125E60F7496D72AC6D34D89B7BAEE28B069CB15C26F4077771CD8DA03D06F8426B846

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:ODyTnG7KCbVVbBP9z8V7laPc+3iIC5LkxL2JW:ODyTns/VVFP9z8V7laPcCC5LkxL2JW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1037032:METGpEjgNkIaEQwJESKAADahGgAAIjc9AhoEgwtgXqBFMhwwAgcYtIEANaIQ3WIIMYGQhKiiVECaCEmRwQgENCYYcwJEAAVs

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:80c3c60fb7e64602
Perceptual Hash:b5f979430f0152d6
Difference Hash:4b3b147f66cc9c2c
Wavelet Hash:c0cfc70fb7e64602
Color Hash:#862d81

Other Hashes

Crop Resistant:4b3b147f66cc9c2c

Scan History

Scan history not available

Unable to load historical scan data