Security Scan Report: doc-ledger-cdn.netlify.app

Submitted: Aug 18, 2026, 2:45:10 PMCompleted: Aug 18, 2026, 2:46:31 PMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site impersonates the Ledger brand on an unranked Netlify subdomain without collecting credentials; treat as moderate risk.

Risk Factors
Brand impersonation on a non‑official domain
Unranked / low‑reputation domain
Unknown subdomain creation date
Safety Factors
No forms collecting credentials or payments
No malicious JavaScript or network activity detected
No external links to known malicious sites
Domain age information unavailable

Details

Page Title

Ledger® Live: Download | Getting started™ Ledger®

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'doc-ledger-cdn.netlify.app' is registered with subdomain 'doc-ledger-cdn'. The core label 'netlify' covers 7 characters split between 2 vowels and 5 consonants. Tokenizing the label suggests three words: net, li, fy. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://doc-ledger-cdn.netlify.app/

Page Load Overview

2.95s
Total Load Time
121 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:833 chars
Detector Agreement:75%

Website Classification

Primary Category

cryptocurrency blockchain77% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
77%
technology software
57%
documentation technical
48%
finance banking
28%
cryptocurrency
22%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3146.75.122.208Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
235.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
245.43.142.2United Kingdom
AS16276OVH SAS
73--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C3B1626695E31143A943E1687767879822A0C007C85ECF283BDE30D9DF859D8E9E7B8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nBrglGWgoCRwlJPg9icnFXIJWmQBsQagOl1AnDi9PVjU6dFRVbXBH1X54iHoXGHe:Br/oCRwfP0icnFXIJWmQBsQagOl1AnDl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5222:AAQAAIoKBGLAsBisAxjACAAjAgKEECgyIKDACQAALhBIQBEIZJCxMRIIgABIVMO4RTMAQxEAQAAAAARQBYhEAEADUIUwgAEA

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:00ffffff000000ff
Perceptual Hash:aad7c828562aff50
Difference Hash:231408c8332b23c0
Wavelet Hash:00ffffff000000ff
Color Hash:#783a4a

Scan History

Scan history not available

Unable to load historical scan data