Summary
API
Submitted URL: https://quiet-seahorse-393bb9.netlify.app/?utm_source=sniply&utm_campaign=sniply&utm_medium=sniply
AI Security Verdict
High Risk
Confidence: 88%
Fake pCloud 'secure file' page on a netlify.app subdomain that impersonates pCloud and harvests email passwords under the pretext of unlocking a document. Do not enter credentials.
Risk Factors (4)
Details
Page Title
pCloud-Fichier sécurisé/
Scan Type
public
Domain Name Analysis
You're looking at domain 'quiet-seahorse-393bb9.netlify.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'quiet-seahorse-393bb9'. Its registrable label 'netlify' stretches across 7 characters with 2 vowels and 5 consonants. Breaking it apart gives 3 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 |
|---|---|---|---|
| 10 | 35.157.26.135Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 0 | 141.101.90.97Cloudflare · 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 | 104.26.2.6Cloudflare · 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 | 37.19.194.80Datacamp · CDN | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 0 | 63.176.8.218Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 0 | 141.101.90.98Cloudflare · 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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