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: 97%
Fake pCloud 'secure file' page on a free netlify.app subdomain harvesting email account passwords, with a Telegram bot token wired in for exfiltration. Do not enter credentials.
Risk Factors (6)
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 and includes subdomain 'quiet-seahorse-393bb9'. The registrable portion 'netlify' spans 7 characters split between two vowels and 5 consonants. It segments into 3 words: net, li, fy. The median word length lands at two 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 |
|---|---|---|---|
| 1 | 63.176.8.218Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 1 | 35.157.26.135Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 1 | 141.101.90.97Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 185.15.59.240 | United States | AS14907Wikimedia Foundation Inc. |
| 1 | 188.114.97.3Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 172.67.69.232Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 213.186.33.87 | Saran, Centre-Val de Loire, France | AS16276OVH SAS |
| 1 | 79.127.216.203Datacamp · CDN | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 188.114.96.3Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 195.181.170.18Datacamp · CDN | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 10 | 10 | - | - |
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