Summary
This website contacted 34 IPs in 5 countries across 10 domains to perform 39 HTTP transactions. The main domain is binaiquanttrading.com and was registered NaN years ago.
Submitted URL: https://binaiquanttrading.com/
AI Security Verdict
Low Risk
Confidence: 70%
Site shows no malicious signs but is newly registered; monitor for changes.
Safety Factors
Details
Page Title
USDT
Scan Type
public
Language
English
Category
cryptocurrency blockchain
(74%)Domain Information
Within the commercial generic top-level domain (.com), 'binaiquanttrading.com' is registered without a subdomain. The second-level label 'binaiquanttrading' is 17 characters long with seven vowels and 10 consonants. Splitting it apart reveals five words: bin, a, i, quant, trading. Median word length comes out to 3 characters. Most frequently, 'bin' shows up in Hungarian. You may catch it in English and Chinese (Pinyin) as well.
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 |
|---|---|---|---|
| 25 | 38.55.206.80 | United States | AS400619AROSS-AS |
| 4 | 172.66.43.40 | United States | AS13335CLOUDFLARENET |
| 2 | 104.16.174.226 | United States | AS13335CLOUDFLARENET |
| 2 | 209.209.9.89 | Montreal, Quebec, Canada | AS26832RICAWEBSERVICES |
| 1 | 216.58.206.42 | United States | AS15169GOOGLE |
| 1 | 150.171.28.11 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 20.43.43.2 | Paris, Île-de-France, France | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 45.205.24.48 | New York, New York, United States | AS8796FD-298-8796 |
| 1 | 142.250.186.74 | United States | AS15169GOOGLE |
| 1 | 118.25.42.241 | Shanghai, Shanghai, China | AS45090Shenzhen Tencent Computer Systems Company Limited |
| 39 | 34 | - | - |
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
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