Summary
This website contacted 2 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is id.tradingtechnologies.com and was registered NaN years ago.
Submitted URL: https://auth-eu-west-1.trade.tt
Effective URL: https://id.tradingtechnologies.com/signin?returnUrl=%2Foauth%2Fauthorize%3Fresponse_type%3Dcode%26client_id%3D10c6c97a8c7d453e802cd4d56c3323bc%26state%3Dext-prod6a827696d609b2.83691991%26redirect_uri%3Dhttps%253A%252F%252Fauth-eu-west-1.trade.tt%252Ftitlebar%252Fcallback_jwt%253FtokenType%253Djwt%2526returnUrl%253Dhttps%253A%252F%252Fid.tradingtechnologies.com%252Fsettings%26Redirected
The Cisco Umbrella rank of the primary domain is #280,116 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 95%
The page harvests login credentials while impersonating Trading Technologies; strong IoC and brand mismatch confirm a credential phishing scam.
Risk Factors
Safety Factors
Details
Page Title
Trading Technologies International, Inc.
Scan Type
public
Language
English
Category
technology software
(75%)Domain Information
You're looking at domain 'auth-eu-west-1.trade.tt' on the Trinidadian country-code top-level domain (.tt); it also runs on subdomain 'auth-eu-west-1'. The second-level label 'trade' is 5 characters long with two vowels and 3 consonants. Tokenizing the label suggests one word: trade. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 11 | 54.246.110.108Aws · CLOUD | Dublin, Leinster, Ireland | AS16509Amazon.com, Inc. |
| 11 | 34.197.190.194Aws · CLOUD | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 22 | 2 | - | - |
Page Statistics
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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
Scan history not available
Unable to load historical scan data