Summary
This website contacted 26 IPs in 3 countries across 6 domains to perform 6 HTTP transactions. The main domain is fa9e8dc4-b9a4-470f-be58-b3ff24dbff7b.netlify.app.
Submitted URL: https://fa9e8dc4-b9a4-470f-be58-b3ff24dbff7b.netlify.app/#EMAIL_REDACTED
AI Security Verdict
Confirmed Scam
Confidence: 92%
Confirmed phishing scam on a newly created Netlify site collecting credentials.
Risk Factors
Details
Page Title
Captcha page | Secured
Scan Type
public
Language
English
Category
phishing scam
(41%)Domain Information
Domain 'fa9e8dc4-b9a4-470f-be58-b3ff24dbff7b.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'fa9e8dc4-b9a4-470f-be58-b3ff24dbff7b'. The registrable portion 'netlify' spans 7 characters holding 2 vowels versus 5 consonants. Segmentation suggests three words: net, li, fy. The median word length lands 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 |
|---|---|---|---|
| 6 | 63.176.8.218 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 1 | 54.192.35.123 | United States | AS16509AMAZON-02 |
| 1 | 35.157.26.135 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 1 | 104.18.11.207 | United States | AS13335CLOUDFLARENET |
| 1 | 104.18.40.68 | United States | AS13335CLOUDFLARENET |
| 1 | 192.178.170.95 | United States | AS15169GOOGLE |
| 1 | 151.101.2.137 | San Francisco, California, United States | AS54113FASTLY |
| 0 | 54.192.35.73 | United States | AS16509AMAZON-02 |
| 0 | 2a05:d014:58f:6200::258 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 0 | 172.64.147.188 | United States | AS13335CLOUDFLARENET |
| 6 | 26 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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
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