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

Submitted: Aug 28, 2026, 4:45:06 PMCompleted: Aug 28, 2026, 4:46:35 PMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The page impersonates Ledger's brand on an unknown‑age, unranked Netlify subdomain but contains no credential collection; treat as moderate risk.

Risk Factors
Brand impersonation of a well‑known cryptocurrency wallet
Unranked / unknown‑reputation domain
Unknown creation date of the subdomain
Safety Factors
No login, password, or payment forms detected
No malicious Indicators of Compromise, YARA matches, or IDS alerts
Domain age information unavailable

Details

Page Title

Ledger® Live Login® (en-US) | Ledger Support

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'doc-ledger-cdn-us.netlify.app' is registered and includes subdomain 'doc-ledger-cdn-us'. Count 7 characters in 'netlify' with 2 vowels and five consonants. Splitting it apart reveals 3 words: net, li, fy. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.66s
Total Load Time
2 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:3,000 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software67% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
67%
cryptocurrency blockchain
55%
finance banking
37%
documentation technical
30%
cryptocurrency
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
163.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15A91B50BD2463A190B6A015D3A8BA3EEE126D59DF24C06D535B8C13D3792AC4817BFD8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:T0TGzBZbM6DBqxkzK1Dd/lQxQ3mLaT9iEuzvmwDY:hLqxkODdX3mLi95

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4237:CJIDAUiIMIwIIABAMAgcqgCACAEBAQMAIQAAACEgAAQ4DggCQRTQAQAABAAFAURAAAMAkYgVABEkBKCIAEUSEUQABIAANFQB

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:1f3f3f3f3f3f7f1f
Perceptual Hash:821f781e9eb89f0c
Difference Hash:f1c9f1f0f0f197b1
Wavelet Hash:1d15111f1f1f4717
Color Hash:#878bc5

Other Hashes

Crop Resistant:f1c9f1f0f0f197b1

Scan History

Scan history not available

Unable to load historical scan data