Security Scan Report: send-usd-trust.netlify.app

Redirected to:
https://send-usd-trust.netlify.app/
Submitted: Jul 29, 2026, 12:45:04 PMCompleted: Jul 29, 2026, 12:46:25 PMpubliccompleted

This website contacted 2 IPs in 2 countries across 2 domains to perform 7 HTTP transactions. The main domain is send-usd-trust.netlify.app and was registered 8 years ago.

Submitted URL: http://send-usd-trust.netlify.app/

Effective URL:

https://send-usd-trust.netlify.app/
Redirected

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

This page presents itself as a named product of a major company, on free hosting that company does not control — rated moderate risk on that basis.

Safety Factors (1)
Hosting platform (Netlify) is widely used for legitimate sites
Domain age information unavailable

Details

Page Title

Transfer Trust Wallet

Scan Type

public

Domain Name Analysis

The domain name 'send-usd-trust.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'send-usd-trust'. Count 7 characters in 'netlify' with two vowels and 5 consonants. Word splitting yields three words: net, li, fy. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://send-usd-trust.netlify.app/

Page Load Overview

0.58s
Total Load Time
176 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:57%
Script:Latin
Direction:ltr

Detection Details

Text Length:89 chars
Detector Agreement:67%

Website Classification

Primary Category

finance banking69% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
69%
cryptocurrency blockchain
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
363.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
72--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T150D1C726F8E20A4A700385E66AD7B03EBA3CD11BC10FD96C75DC91B54FC3E599DA7045

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:3dvWqfUuCal9iCDaJAkow/LpEL5k5tDAlp:3dvXVfFKow/LOgt87

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6721:OmKCMCAMRQWAQoAY4ABAKhIFEAFokLMTFIAEgwiICDBIAAMQBBShAOSD8LECBAAUAWIVVaoSAjDEAXBAGIOKAIUEecABgBQQ

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:e7e7ffffffffffe7
Perceptual Hash:b399339923cc66cc
Difference Hash:4c4c04000000304d
Wavelet Hash:c0c0c0c0c3c3f3e3
Color Hash:#48bf40

Other Hashes

Crop Resistant:4c4c04000000304d

Scan History

Scan history not available

Unable to load historical scan data