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Security Scan Report: quiet-seahorse-393bb9.netlify.app

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Submitted: Jul 5, 2026, 8:51:59 AMCompleted: Jul 5, 2026, 8:53:16 AMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 2 HTTP transactions. The main domain is quiet-seahorse-393bb9.netlify.app and was registered NaN years ago.

Submitted URL: https://quiet-seahorse-393bb9.netlify.app/?utm_source=sniply&utm_campaign=sniply&utm_medium=sniply

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

The site mimics pCloud to lure users but lacks credential forms; treat as moderate risk brand impersonation.

Risk Factors
Brand impersonation on unknown subdomain
Unranked domain
Potentially newly created subdomain
Safety Factors
No malicious scripts or obfuscation
No form data collection
No network alerts or known malicious kits
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

pCloud-Fichier sécurisé/

Scan Type

public

Language

🇫🇷

French

(80% confidence)

Category

real estate property

(88%)

Domain Information

Domain 'quiet-seahorse-393bb9.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'quiet-seahorse-393bb9'. The registrable portion 'netlify' spans 7 characters with two vowels and 5 consonants. Word splitting yields 3 words: net, li, fy. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://quiet-seahorse-393bb9.netlify.app/?utm_source=sniply&utm_campaign=sniply&utm_medium=sniply

Page Load Overview

0.53s
Total Load Time
10
HTTP Requests
8
Domains
46 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:fr
Text Length:366 chars
Detector Agreement:67%

Website Classification

Primary Category

real estate property88% confidence
Type: static
Method: ml+structural

All Detected Categories

real estate property
88%
documentation technical
44%
technology software
39%
cryptocurrency blockchain
34%
corporate business
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.26.2.6Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
1188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.18.0.83Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
1213.186.33.87Saran, Centre-Val de Loire, France
AS16276OVH SAS
106--

Detected Technologies4

WordPress
75%
Netlify
40%
HSTS
40%
Drupal
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18FF1B38B42F71DA63507A0A13BB6A7057662C1039C0ACC417F6D535DDF5AD92A9F33C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:BdPVFe7rU/yGgF/mFZRL6EJ6lzkucv5fmHJ4i8iQi9n55h4i5milz:BdnFCrmucvICi8iQi9raikilz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7663:IA0AIKwJIBoAwlUABAjoKpEKRGAKAAQBIBAEoArBZogZKK6oMkAWDpIAGiAkEQCAApgBcRAzDVAaAARYGQhkgASLYAAQ0UEg

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

Average Hash:ffffe7e7e7e7ffff
Perceptual Hash:e6cc993332cccc33
Difference Hash:00000c0c4d0c0000
Wavelet Hash:f0f0e0e024243c3c
Color Hash:#53d22d

Other Hashes

Crop Resistant:00000c0c4d0c0000

Scan History

Scan history not available

Unable to load historical scan data