Summary
This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is same-lrf23elu9nh-latest.netlify.app and was registered 8 years ago.
Submitted URL: https://same-lrf23elu9nh-latest.netlify.app/
AI Security Verdict
High Risk
Confidence: 80%
The site shows a password-only form on an unknown, unranked Netlify subdomain and triggers a Safe Browsing social engineering warning, indicating credential phishing risk.
Risk Factors
Details
Page Title
Password Protection
Scan Type
public
Language
English
Category
news media journalism
(39%)Domain Information
The domain name 'same-lrf23elu9nh-latest.netlify.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'same-lrf23elu9nh-latest'. Its registrable label 'netlify' stretches across 7 characters holding 2 vowels versus 5 consonants. Breaking it apart gives three words: net, li, fy. Average segment length settles at 2 characters. 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 | 35.157.26.135Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 2 | 1 | - | - |
Page Statistics
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