Security Scan Report: trust-ledger-login-patch-docker.vercel.app

Redirected to:
https://trust-ledger-login-patch-docker.vercel.app/ledger%20form/devic...
Submitted: Jul 24, 2026, 12:45:06 PMCompleted: Jul 24, 2026, 12:46:30 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is trust-ledger-login-patch-docker.vercel.app and was registered NaN years ago.

Submitted URL: https://trust-ledger-login-patch-docker.vercel.app/ledger%20form/device.html/

Effective URL: https://trust-ledger-login-patch-docker.vercel.app/ledger%20form/device.html/verify.htmlRedirected

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

The subdomain is flagged as a phishing site and lacks legitimate content, warranting high risk.

Risk Factors
Primary domain phishing indicator
Unranked domain with unknown subdomain age
Brand name used in subdomain on generic hosting service
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(56%)

Domain Information

Within the application-focused generic top-level domain (.app), 'trust-ledger-login-patch-docker.vercel.app' is registered with subdomain 'trust-ledger-login-patch-docker'. The second-level label 'vercel' is 6 characters long containing two vowels alongside 4 consonants. Segmentation suggests 2 words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://trust-ledger-login-patch-docker.vercel.app/ledger%20form/device.html/

Page Load Overview

2.87s
Total Load Time
21
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 technical56% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
56%
healthcare medical
35%
government public service
34%
cryptocurrency blockchain
29%
real estate property
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1164.29.17.3United States
AS16509Amazon.com, Inc.
10104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
212--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1687194337B69211AF333C89FB1C26B993010A122D1ABCAB5FF579F15D6CA1655E0278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGR6Z9qGNGDY7nnr9YN6yhcCJd1XfBA3ILreuoi0Z1nde2ORegwDMWNW0eNMje/R:nGRe91n5O6Yp63XKk1Vr3hjeR7

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:0f0f332327270f0f
Color Hash:#86702d

Other Hashes

Crop Resistant:0000000c0c080000

Scan History

Scan history not available

Unable to load historical scan data