Summary
This website contacted 19 IPs in 3 countries across 6 domains to perform 80 HTTP transactions. The main domain is discord-tradingview.netlify.app and was registered NaN years ago.
Submitted URL: https://discord-tradingview.netlify.app/
AI Security Verdict
Details
Page Title
Authentication — TradingView
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
The domain 'discord-tradingview.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'discord-tradingview'. The registrable portion 'netlify' spans 7 characters containing two vowels alongside 5 consonants. Tokenizing the label suggests 3 words: net, li, fy. Expect 2 characters per word on average. The linguistic tilt is Esperanto for 'neto'. Secondary signals appear in Bosnian and Serbian.
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 |
|---|---|---|---|
| 8 | 62.72.59.39 | Mumbai, Maharashtra, India | AS47583Hostinger International Limited |
| 4 | 172.66.157.155 | United States | AS13335CLOUDFLARENET |
| 4 | 104.18.19.237 | United States | AS13335CLOUDFLARENET |
| 4 | 35.157.26.135 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 4 | 104.16.174.226 | United States | AS13335CLOUDFLARENET |
| 4 | 142.250.186.42 | United States | AS15169GOOGLE |
| 4 | 63.176.8.218 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 4 | 2a05:d014:58f:6200::258 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 4 | 2a00:1450:4001:829::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 4 | 2606:4700::6812:12ed | United States | AS13335CLOUDFLARENET |
| 80 | 19 | - | - |
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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