Security Scan Report: crypto-daily.netlify.app

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Submitted: Sep 12, 2026, 1:45:38 PMCompleted: Sep 12, 2026, 1:46:11 PMpubliccompleted

AI Security Verdict

Safe Website

Confidence: 80%

1
Risk Score

The page shows its own brand, contains no forms or malicious indicators, and is therefore legitimate.

Safety Factors
Self‑branding aligns with domain
Absence of forms or credential collection
No malicious IoC or IDS alerts
Domain age information unavailable

Details

Page Title

Crypto Daily

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'crypto-daily.netlify.app' is registered; it also runs on subdomain 'crypto-daily'. Count 7 characters in 'netlify' holding 2 vowels versus five consonants. Word splitting yields three 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://crypto-daily.netlify.app/

Page Load Overview

14.66s
Total Load Time
195 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:84 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software51% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
51%
cryptocurrency blockchain
41%
documentation technical
35%
news media journalism
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
435.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
3142.251.20.94Google · CDNUnited States
AS15169Google LLC
3142.251.127.95Google · CDNUnited States
AS15169Google LLC
363.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
134--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14551FBD23640FC4C0371096B593B701DF1993D2F4278E8C0B28A85F75CB469A90EAE6A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TxcTGhOwjaeC/hS1EpX5ROpC7ReVR7vcOmYPhcjQuKTLWLdYk9Qs:T2TGeBZTJzOpC7ReVR7kW5cM14l

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2715:EABAQgAQAACIAgEAUABABAAAIkMAgEACAAAAAEEJIEAIkBAAAJQEKAQAgCAAAAAQRCEABACQwQAAgIAAIAAAEgECACAAgAkA

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:0000003c3c080000
Perceptual Hash:9bcc6433d3cd3832
Difference Hash:0044186949182400
Wavelet Hash:33333f3f3c0c0c0c
Color Hash:#3a5a78

Other Hashes

Crop Resistant:0044186949182400

Scan History

Scan history not available

Unable to load historical scan data