Summary
API
This website contacted 2 IPs in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is discordverifys.netlify.app and was registered 8 years ago.
Submitted URL: https://discordverifys.netlify.app/
AI Security Verdict
Confirmed Scam
Confidence: 97%
Fake Discord login on a netlify.app subdomain that posts the entered email/phone and password to a webhook.site exfiltration endpoint. Definitive credential-phishing page; do not enter any credentials.
Risk Factors
Details
Page Title
Discord
Scan Type
public
Domain Name Analysis
You're looking at domain 'discordverifys.netlify.app' on the application-focused generic top-level domain (.app) and includes subdomain 'discordverifys'. The registrable portion 'netlify' spans 7 characters split between two vowels and 5 consonants. It segments into three words: net, li, fy. Expect 2 characters per word on average. 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 |
|---|---|---|---|
| 2 | 63.176.8.218Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 2 | 35.157.26.135Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 4 | 2 | - | - |
Detected Technologies3
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