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Security Scan Report: silly-cannoli-f9521c.netlify.app

Redirected to:
https://silly-cannoli-f9521c.netlify.app/
Submitted: Jul 25, 2026, 12:45:32 PMCompleted: Jul 25, 2026, 12:48:20 PMpubliccompleted

Summary

This website contacted 4 IPs in 3 countries across 4 domains to perform 2 HTTP transactions. The main domain is silly-cannoli-f9521c.netlify.app and was registered 8 years ago.

Submitted URL: http://silly-cannoli-f9521c.netlify.app/

Effective URL: https://silly-cannoli-f9521c.netlify.app/Redirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

The site impersonates DANA, is unranked, and is flagged by Google Safe Browsing for social engineering – treat as high‑risk phishing.

Risk Factors
Unranked hosting subdomain
Brand impersonation of DANA on unrelated domain
Google Safe Browsing social engineering threat
Missing legitimate forms despite login‑style title
Domain age information unavailable

Details

Page Title

SignIn

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

e-commerce shopping

(80%)

Domain Information

The domain 'silly-cannoli-f9521c.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'silly-cannoli-f9521c'. Count 7 characters in 'netlify' holding 2 vowels versus five consonants. Word splitting yields three 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 http://silly-cannoli-f9521c.netlify.app/

Page Load Overview

1.01s
Total Load Time
11
HTTP Requests
4
Domains
248 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:681 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping80% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
80%
finance banking
78%
government public service
57%
adult content
55%
cryptocurrency blockchain
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
545.43.142.4United Kingdom
AS16276OVH SAS
22.16.206.26Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
235.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
2185.15.59.240United States
AS14907Wikimedia Foundation Inc.
114--

Page Statistics

11
Requests
4
Unique Domains
256.3 KB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E862733332B211115A93A5A57AF2DB4E3634C107D54782383EAC1996CFCEDC2D9B37A8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:SULrqOPJ6m9xeL3MToeRKmojHhowEv6idS6JYTotz20EOh8Cpg9HkvETSAwoIS1i:nB1uMm4jFVogv6RoqsIMNJwfhawHVa1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15332:AdoiUakIgy9xp1I6AAKHICISCcQoAKENo85POqZxMMggAAmFIKgo2MDICSISQJoSSUiUQWcKQhCcRIJQEQMUIlak5EAEHkGE

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:1818181818000000
Perceptual Hash:9999666666cc6333
Difference Hash:b2b2b2b2b20c3000
Wavelet Hash:1c1c1c1c18000000
Color Hash:#2d3186

Other Hashes

Crop Resistant:a2aeaebaaeaeb2b2,b2b2b2b2b20c3000

Scan History

Scan history not available

Unable to load historical scan data