Security Scan Report: www.gate.io

Redirected to:
https://www.gate.com/
Site favicon
Submitted: Sep 28, 2026, 7:10:33 AMCompleted: Sep 28, 2026, 7:11:55 AMpubliccompleted

This website contacted 26 IPs in 3 countries across 15 domains to perform 325 HTTP transactions. The main domain is gate.com and was registered 10 months ago.

Submitted URL: https://www.gate.io

Effective URL:

https://www.gate.com/
Redirected

The Cisco Umbrella rank of the primary domain is #43,233 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

Gate's own multi-asset trading site reached via a gate.io → gate.com domain move. Self-branded, no forms, no malware or phishing signals; the only threat-intel entry is a generic, unverified link reputation for a third-party domain.

Safety Factors (4)
Final destination www.gate.com is an established site (Cisco Umbrella top 1M) and owner of the 'Gate' brand the page displays
Self-branding detected — title/meta match the rendering domain; no third-party brand impersonation
No credential or payment forms anywhere on the page
No malware, phishing, IDS, or Safe Browsing indicators
Domain age information unavailable

Details

Page Title

Gate | Global Multi-Asset Trading Platform | Leading Global Crypto Exchange

Scan Type

public

Domain Name Analysis

The domain 'www.gate.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'www'. Its registrable label 'gate' stretches across 4 characters split between two vowels and two consonants. Tokenizing the label suggests one word: gate. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.gate.io

Page Load Overview

25.18s
Total Load Time
5.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:11,504 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain59% confidence
Type: spa
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
59%
corporate
35%
phishing/scam
20%

Detected Features

Products
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2523.207.210.89Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1223.207.210.96Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1288.221.168.138Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
12104.18.24.196Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1218.66.147.54Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1223.52.180.163Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
12192.178.183.97Google · CDNUnited States
AS15169Google LLC
12163.181.254.185United States
AS24429Zhejiang Taobao Network Co.,Ltd
12142.251.127.84Google · CDNUnited States
AS15169Google LLC
1243.174.108.167Singapore
32526--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C6D02BEFF146109A8B112E821CBAF155BC991075328F9AC86746E04BCB09CAAD507525

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxwyEr6VPWxxdGztAc4GTxFWgPafxM4a4dlZKqz:kxVRpedgTzPaKZ4dlZj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:aeb67c171fa731da29d7e4a4ac62d862

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:3f3fffffffffffff
Perceptual Hash:870707070703fbfd
Difference Hash:e040000000000000
Wavelet Hash:3030f0f0f0f0f0f0
Color Hash:#1f2993

Other Hashes

Crop Resistant:e040000000000000

Scan History

Scan history not available

Unable to load historical scan data