Security Scan Report: send-usdc.netlify.app

Redirected to:
https://send-usdc.netlify.app/
Submitted: Aug 2, 2026, 12:45:39 PMCompleted: Aug 2, 2026, 12:49:44 PMpubliccompleted

This website contacted 3 IPs in 2 countries across 4 domains to perform 11 HTTP transactions. The main domain is send-usdc.netlify.app and was registered 8 years ago.

Submitted URL: http://send-usdc.netlify.app/

Effective URL:

https://send-usdc.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)
Page content limited to USDT transfer UI without data collection
Domain age information unavailable

Details

Page Title

Transfer Trust Wallet

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'send-usdc.netlify.app' is registered, featuring subdomain 'send-usdc'. Count 7 characters in 'netlify' containing 2 vowels alongside five consonants. Breaking it apart gives three words: net, li, fy. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

8.75s
Total Load Time
198 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
5104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
323.207.210.135Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
335.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
113--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CCE1C626F8E21A5A300385A629D3B13EBA3CD217C20FDD5CB5EC91755FC3E899DA7044

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:3dvWqfUuCal9iCDaJAkow/LzEL5k5tDRhsB/WlR4Vi:3dvXVfFKow/LUgtNhshi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7131:OnKCMCAIVQWAQoAa4ABAIhIFEAFokLMRBIAAhwiICCBACgMQBBThAOSD4LACBAAQAWIUVasSAjDEAXBAEIODAIUEdcABiAQR

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:c4c4c4ccc3c3f3e3
Color Hash:#c5bf87

Other Hashes

Crop Resistant:4c4c04000000304d

Scan History

Scan history not available

Unable to load historical scan data