Security Scan Report: bouncehousediscordgg.netlify.app

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Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

Submitted URL: https://bouncehousediscordgg.netlify.app/

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Fake Discord login on a netlify.app subdomain, capturing email/password and exfiltrating via an embedded Telegram bot token. Brand impersonation + credential phishing — confirmed scam.

Risk Factors (4)
Impersonation of Discord's login page on a domain that is not discord.com
Telegram bot token embedded in page script for exfiltrating collected data
Credential (password) capture form on a shared hosting subdomain
Unranked domain presenting as a well-known brand
Domain age information unavailable

Details

Page Title

Discord

Scan Type

public

Domain Name Analysis

Domain 'bouncehousediscordgg.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'bouncehousediscordgg'. Count 7 characters in 'netlify' split between two vowels and five consonants. It segments into 3 words: net, li, fy. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Welcome back! We'te so excited to see you again! EMAIL OR PHONE NUMBER Enter your email or phone number PASSWORD Enter your password ‘Or use QR code to log in QR Code Forgot your password? Need...

Page Load Overview

0.60s
Total Load Time
18 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:201 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network60% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
60%
forum community discussion
49%
adult content
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
235.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10EF2DDF0491730A6956B62F271291F0F58F6D287F70B0D26B7FC285AEF84D608A474E6

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:I8+/GyhieMLTsdqo5y+FWKU3jWvKtmjsvSuw/sexI4lR7Rcusyre+4Z2F/iGhZbd:I8+/GyIeMPsdqo5y+FWKU3jWvKtmjsvu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34721:h4UTQhCg7OlYqoLAIC+RUCEmzwwC4WRAw2RQYqRAAICssFIZYcRQmFAJQ2PwCWAE2UGylhECGl6DJ4AiQNHQ8lxEoUkGBKFM

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:00181818183cffff
Perceptual Hash:cc4c33336666e699
Difference Hash:0c32b2b2b232300c
Wavelet Hash:0018181818ffffff
Color Hash:N/A

Other Hashes

Crop Resistant:0c32b2b2b232300c

Scan History

Scan history not available

Unable to load historical scan data