Security Scan Report: access-ledger-com.netlify.app

Redirected to:
https://access-ledger-com.netlify.app/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 30 IPs in 2 countries across 20 domains to perform 36 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

Submitted URL: http://access-ledger-com.netlify.app/

Effective URL:
https://access-ledger-com.netlify.app/
Redirected

AI Security Verdict

High Risk

Confidence: 68%

7
Risk Score

Unofficial netlify subdomain uses Ledger branding and copied marketing for a sign-in guide, but no forms, credential harvesting, or threat-intel hits were found. Treat as unofficial and avoid entering secrets.

Risk Factors (3)
Uses Ledger name and branding on a non-Ledger netlify.app subdomain.
Copied Ledger-style navigation and marketing text could imply affiliation with Ledger.
Page title focuses on Ledger Wallet sign-in despite having no actual sign-in form.
Domain age information unavailable

Details

Page Title

Ledger Wallet Sign In | Secure Crypto Access Guide 2025 | ledger live

Scan Type

public

Domain Name Analysis

The domain 'access-ledger-com.netlify.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'access-ledger-com'. The registrable portion 'netlify' spans 7 characters holding two vowels versus 5 consonants. Breaking it apart gives three words: net, li, fy. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

— OM Get up to $90 of BTC for one week only. Bitcoin boost > r 1 LL EDG ER | Products Apps and Services Learn For Business For Developers Support EN vy BP A crypto wallet app and Web3 gateway The b...

Page Load Overview

2.47s
Total Load Time
8.6 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

Text Length:5,649 chars
Detector Agreement:100%

All Detected Languages

🇺🇸en(96%)🇪🇸es(1%)🇫🇷fr(1%)🇩🇪de(1%)🇩🇰da(1%)

Website Classification

Primary Category

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

All Detected Categories

cryptocurrency blockchain
77%
technology software
69%
documentation technical
46%
education learning
36%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
535.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
4162.247.241.14United States
AS23467New Relic
2185.111.111.156Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
2216.239.32.36Google · CDNUnited States
AS15169Google LLC
1185.111.111.154Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
13.174.46.86Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1146.75.122.132Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1142.251.20.94Google · CDNUnited States
AS15169Google LLC
1142.251.20.97Google · CDNUnited States
AS15169Google LLC
165.9.130.108Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3630--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18DF41B956AB0A528A83F73A4C29BE594735E30764E0ECEE7FEB0B014DFC83F85459544

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:HBWoCy56N/OQu2lnBWcCm56N/OQu2li4U+J7+N:DaN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:731562:/AAVBAmTDQdj4hQEiEEKmgAJGiGipkipQWQjooHiABkFghIEBIEAqcABrBUS2CO3oOCBg5KQAtgJKlAQJgcKRoCZiBHHBDcB

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:f100026e6f0f0f00
Perceptual Hash:916e6ec9c2946db1
Difference Hash:03a91e989a9adc1c
Wavelet Hash:fb000e7f6f0f0f04
Color Hash:396000000c0

Scan History

Scan history not available

Unable to load historical scan data