Security Scan Report: discord-tradingview.netlify.app

Submitted: Nov 6, 2025, 12:09:34 AMCompleted: Nov 6, 2025, 12:10:47 AMpubliccompleted

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 8 years ago.

Submitted URL: https://discord-tradingview.netlify.app/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Authentication — TradingView

Scan Type

public

Language

🇺🇸

English

(80% confidence)

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

Security scan screenshot of api.ipwho.org

Page Load Overview

20.12s
Total Load Time
80
HTTP Requests
6
Domains
1.1 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
Text Length:160 chars
Detector Agreement:50%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
862.72.59.39Mumbai, Maharashtra, India
AS47583Hostinger International Limited
4172.66.157.155United States
AS13335CLOUDFLARENET
4104.18.19.237United States
AS13335CLOUDFLARENET
435.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
4104.16.174.226United States
AS13335CLOUDFLARENET
4142.250.186.42United States
AS15169GOOGLE
463.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
42a05:d014:58f:6200::258Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
42a00:1450:4001:829::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
42606:4700::6812:12edUnited States
AS13335CLOUDFLARENET
8019--

Page Statistics

80
Requests
9
Unique Domains
991.3 KB
Total Size

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13913E72B81731525E00606F4DDA4317AEA53921BEA1DDDE0FBDD1638EFC69E84C8369C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:wZNv1xllJBZVtJY0z+5+6o51QbjsJxPzmz0KPzmz0X16V6VH7Atc3TmP3:wZN52CPzmz0KPzmz0qtc3T6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:43265:QRCASBCGCIKfALKAAoZoAB4LH4zQhCWsEDKI0xKAYfGBupEowAEuEmgMzCCTYFqtEHtMNQDAgYBgAIUgEBEENwFgAQKMUBA0

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:f0f0f0f0f0f0f0f0
Perceptual Hash:c61f7ac3961e690c
Difference Hash:64646064e4e0a4a4
Wavelet Hash:f0f0f0f0f0f0f0f0
Color Hash:#401f93

Scan History

Scan history not available

Unable to load historical scan data