Security Scan Report: sso-start-ledgercom-us.netlify.app

Redirected to:
https://sso-start-ledgercom-us.netlify.app/
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Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

Submitted URL: http://sso-start-ledgercom-us.netlify.app/

Effective URL:
https://sso-start-ledgercom-us.netlify.app/
Redirected

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Fake Ledger site on a Netlify subdomain posing as the official ledger.com/start guide; brand impersonation with no forms found, but deceptive hostname and crypto lure make it high risk.

Risk Factors (5)
Impersonation of Ledger brand on a non-official, unranked domain
Deceptive subdomain imitating ledger.com/start
Instant/free hosting platform subdomain with unknown real age
Crypto-wallet setup theme typically used for seed-phrase harvesting
Not present in Cisco Umbrella top 1M
Domain age information unavailable

Details

Page Title

Ledger.com/start – Official Guide | Ledger

Scan Type

public

Domain Name Analysis

Domain 'sso-start-ledgercom-us.netlify.app' uses the application-focused generic top-level domain (.app) with subdomain 'sso-start-ledgercom-us'. Count 7 characters in 'netlify' holding two vowels versus five consonants. Tokenizing the label suggests 3 words: net, li, fy. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sso-start-ledgercom-us.netlify.app/

Page Load Overview

1.18s
Total Load Time
17 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,984 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical64% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
64%
cryptocurrency blockchain
64%
technology software
53%
finance banking
48%
education learning
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
263.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T154A1721EE6D76006598781B673B693DA7B64C00BC80ECED93A9E025CAF9072195F7F4C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:n0TGXBIpX/QLri78/9FBlAEKD6wvMo9aI1TE+/Ni62bCO0H3SZTaTcA:YpvQLri7W9FBlAEKDnvr8I1xo6yCO0XZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4966:CREQhBQAEABJggkoNowAlAAqCIUBRABAADunAAECAggYkSKCwBjADAEwFEMCcAQgUMAACgBphBIKABgJACJAEAYylCQoBIwB

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:0000dfffffffffff
Perceptual Hash:98480a66b3f7b2c7
Difference Hash:3130b03824b4a490
Wavelet Hash:000000cadfdfdfdf
Color Hash:#d279a7

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data