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Security Scan Report: jonspire-ledger.netlify.app

Redirected to:
https://jonspire-ledger.netlify.app/
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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/fcf4651d-8f54-40d0-8ec4-5362e24a4154Domain and IP registration (RDAP)/api/v1/rdap/fcf4651d-8f54-40d0-8ec4-5362e24a4154How often this domain was scanned/api/v1/domain/stats/jonspire-ledger.netlify.appScan history for this domain/api/v1/domain/history/jonspire-ledger.netlify.app?limit=15
This website contacted 4 IPs in 2 countries across 3 domains to perform 15 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

Submitted URL: http://jonspire-ledger.netlify.app/

Effective URL:
https://jonspire-ledger.netlify.app/
Redirected

AI Security Verdict

Low Risk

Confidence: 65%

2
Risk Score

Finance-coaching demo app on a Netlify subdomain. No forms, no brand impersonation, no threat-intel hits. Low risk, but uploading bank statements to an unverified host warrants caution.

Risk Factors (1)
Requests bank statement upload on an unranked shared-hosting subdomain with no published company identity
Safety Factors (4)
No credential, password, or payment forms present
Explicitly states no bank login or account linking
No Indicators of Compromise, malware, or network IDS hits
Self-branded content; no impersonation of a different entity
Domain age information unavailable

Details

Page Title

Ledger · money habits coach

Scan Type

public

Domain Name Analysis

Domain 'jonspire-ledger.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'jonspire-ledger'. Its registrable label 'netlify' stretches across 7 characters containing 2 vowels alongside five consonants. Breaking it apart gives three words: net, li, fy. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Ledger ® Odaystreak wy Lv1-OXP —® Installapp = & Onthis device Statements Upload the statement you already get from your bank. No bank login and no account linking. OQ Home f Grow A Coach A Me nt Y...

Page Load Overview

5.58s
Total Load Time
382 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:5,079 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking30% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
30%
adult content
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
635.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
3142.250.154.95Google · CDNUnited States
AS15169Google LLC
3142.250.154.94Google · CDNUnited States
AS15169Google LLC
363.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
154--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18103D8726160243B902B59DDB36673BA30A3D30FD7065680BABC17F91FD7CA57827089

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:SptFeoy/DXa5bsZGw+5f1DqOpNDk8Wu6HkvstK32q:SHEoy/DIbsZU5f1DqOpGhU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38709:CXUEoVgAOYRdZAAUIE8YYIRyEoECTGAAoLNCDCEGIIQgDhMIC0ZkEIEhigMykCgA6AQikmEGUwLSjkSwIGAIu8kEOEJSEaAO

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:eee0c1cfbffff7ef
Perceptual Hash:b361649e9b393964
Difference Hash:52ce17595c78644c
Wavelet Hash:2860002fafff332f
Color Hash:N/A

Other Hashes

Crop Resistant:52ce17595c78644c

Scan History

Scan history not available

Unable to load historical scan data