Security Scan Report: legendary-narwhal-00f0c4.netlify.app

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Submitted: Jul 5, 2026, 7:52:24 AMCompleted: Jul 5, 2026, 7:53:55 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 legendary-narwhal-00f0c4.netlify.app and was registered NaN years ago.

Submitted URL: https://legendary-narwhal-00f0c4.netlify.app/?utm_source=sniply&utm_campaign=sniply&utm_medium=sniply

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site mimics pCloud to solicit email credentials but lacks forms; treat as moderate risk and avoid providing personal information.

Risk Factors
Brand impersonation of pCloud on a non‑official domain
Unranked subdomain on a hosting platform with unknown creation date
Potential phishing lure using urgent language to request email credentials
Safety Factors
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

The domain name 'legendary-narwhal-00f0c4.netlify.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'legendary-narwhal-00f0c4'. The second-level label 'netlify' is 7 characters long containing two vowels alongside five consonants. It segments into 3 words: net, li, fy. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://legendary-narwhal-00f0c4.netlify.app/?utm_source=sniply&utm_campaign=sniply&utm_medium=sniply

Page Load Overview

14.55s
Total Load Time
9
HTTP Requests
7
Domains
36 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
463.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
1104.26.2.6Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1213.186.33.87Saran, Centre-Val de Loire, France
AS16276OVH SAS
1188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
1104.18.1.83Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
96--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11BF1B48B41F71DA63507A0A13BB6A7053662C1039C0ACC417FAD536DDF4AD92A9F33C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:BdPVFe7rU/yGgF/mFZRL6EJ6lzkucv35mHJ4i8iQi9n55h4i5milz:BdnFCrmucv30Ci8iQi9raikilz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7663:IA0AICwJIBoA4lUABAjoKpEKRGAKAAQBIBAEoArBZogJKK6oMkAWDpIAGiAkEQCAApgBcRAzDVAaAARYGQhkgESLYAAQ0UFg

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:#d279a7

Other Hashes

Crop Resistant:00000c0c4d0c0000

Scan History

Scan history not available

Unable to load historical scan data