Summary
API
Submitted URL: https://quiet-seahorse-393bb9.netlify.app/?utm_source=sniply&utm_campaign=sniply&utm_medium=sniply
AI Security Verdict
Confirmed Scam
Confidence: 95%
Fake pCloud file-transfer page on a Netlify subdomain asking for email credentials, with a Telegram bot token in its script to exfiltrate them — definitive phishing, do not enter anything.
Risk Factors (5)
Details
Page Title
pCloud-Fichier sécurisé/
Scan Type
public
Domain Name Analysis
Within the application-focused generic top-level domain (.app), 'quiet-seahorse-393bb9.netlify.app' is registered, featuring subdomain 'quiet-seahorse-393bb9'. Its registrable label 'netlify' stretches across 7 characters with two vowels and 5 consonants. It segments into 3 words: net, li, fy. Median word length is 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 |
|---|---|---|---|
| 10 | 63.176.8.218Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 0 | 35.157.26.135Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 0 | 141.101.90.98Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 0 | 185.15.59.240 | United States | AS14907Wikimedia Foundation Inc. |
| 0 | 188.114.96.9Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 0 | 172.67.69.232Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 0 | 213.186.33.87 | Saran, Centre-Val de Loire, France | AS16276OVH SAS |
| 0 | 188.114.97.9Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 0 | 79.127.216.204Datacamp · CDN | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 0 | 141.101.90.99Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 10 | 12 | - | - |
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
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