Security Scan Report: disc0rdl0gin.netlify.app

Redirected to:
https://disc0rdl0gin.netlify.app/
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Submitted: Jul 30, 2026, 1:45:15 PMCompleted: Jul 30, 2026, 1:46:28 PMpubliccompleted

This website contacted 1 IP in 1 country across 1 domain to perform 10 HTTP transactions. The main domain is disc0rdl0gin.netlify.app and was registered 8 years ago.

Submitted URL: http://disc0rdl0gin.netlify.app/

Effective URL:

https://disc0rdl0gin.netlify.app/
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AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

High‑risk credential phishing site impersonating Discord; do not enter any credentials.

Risk Factors (4)
Brand impersonation on unknown‑age subdomain
Login form collecting credentials
Unranked / low‑reputation domain
Hosting platform subdomain (netlify.app) can be created instantly
Domain age information unavailable

Details

Page Title

Discord

Scan Type

public

Domain Name Analysis

You're looking at domain 'disc0rdl0gin.netlify.app' on the application-focused generic top-level domain (.app), featuring subdomain 'disc0rdl0gin'. Its registrable label 'netlify' stretches across 7 characters holding two vowels versus five consonants. It segments into three words: net, li, fy. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://disc0rdl0gin.netlify.app/

Page Load Overview

0.56s
Total Load Time
200 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:249 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network48% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

social media network
48%
finance banking
39%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1063.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
101--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C641F021C084593B52274AC875A6672D36D6C21ECF1B4904A3FC83ED1BEAD83E91B96D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nZp57EBcW+5GBS4aS9v8qgHd55sNmcnSTST4gHZAfAF:nZpVAV+5G4o9W9ANvnSTSTJuoF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2262:CAAAAQAgAIAAAICAwAYAAgAQAEgAAgAAgAAAIQAAAAKKAAABQAAAEAAABAAwMgACAAEQCBCCIAEAAQAAQAAABQAAAYENAAQA

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:0f071f0d1d130307
Perceptual Hash:8bd3246c9b9bcc64
Difference Hash:7fef6b69ebe79fff
Wavelet Hash:1f0f1f1f1f130307
Color Hash:#bf406a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data