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Security Scan Report: net-ledger-wallet-data-ios.vercel.app

Redirected to:
https://net-ledger-wallet-data-ios.vercel.app/ledger%20form/index.html...
Submitted: Jul 24, 2026, 1:45:28 PMCompleted: Jul 24, 2026, 1:48:31 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is net-ledger-wallet-data-ios.vercel.app and was registered NaN years ago.

Submitted URL: https://net-ledger-wallet-data-ios.vercel.app/ledger%20form/index.html/

Effective URL: https://net-ledger-wallet-data-ios.vercel.app/ledger%20form/index.html/device.htmlRedirected

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

No malicious activity detected; low risk due to unknown subdomain age and lack of threats.

Risk Factors
Subdomain on a hosting platform with unknown creation date (potentially new)
Domain is unranked in Cisco Umbrella
Safety Factors
No malicious scripts or external threats detected
No form submissions or credential exfiltration observed
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(55%)

Domain Information

Within the application-focused generic top-level domain (.app), 'net-ledger-wallet-data-ios.vercel.app' is registered and includes subdomain 'net-ledger-wallet-data-ios'. Count 6 characters in 'vercel' with two vowels and four consonants. Splitting it apart reveals 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://net-ledger-wallet-data-ios.vercel.app/ledger%20form/index.html/

Page Load Overview

9.01s
Total Load Time
20
HTTP Requests
4
Domains
57 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:144 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical55% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
55%
healthcare medical
34%
government public service
34%
real estate property
27%
news media journalism
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10216.198.79.3United States
AS16509Amazon.com, Inc.
10104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
202--

Detected Technologies2

Vercel
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14B7193337B28211AF333C89FA1C26B993010A122D1ABCAB4FF579F15D5CA1651E0278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGR6Z9qGNGDY7nnr9YN6yhcCJd1XfBA3ILreuoi0Z1nde2ORegwDMWNW0eNMjf/R:nGRe91n5O6Yp63XKk1Vr3hjfR7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3769:JJAAAQHBFQECECSAACAAJAAIAaAAgAQSiBAmiqMAAQAIAMAqAgASIQAQAAAEEEKBCNQEEAASAggAAQIGwCkgBAAICAFIgEgA

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:ffffffe7e7e7ffff
Perceptual Hash:b399cc6633998c66
Difference Hash:0000000c0c080000
Wavelet Hash:f0f0fce427270303
Color Hash:#6ce089

Other Hashes

Crop Resistant:0000000c0c080000

Scan History

Scan history not available

Unable to load historical scan data