Security Scan Report: send-usdt-05.netlify.app

Redirected to:
https://send-usdt-05.netlify.app/
Submitted: Jul 23, 2026, 9:50:30 AMCompleted: Jul 23, 2026, 9:51:51 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is send-usdt-05.netlify.app and was registered NaN years ago.

Submitted URL: http://send-usdt-05.netlify.app

Effective URL: https://send-usdt-05.netlify.app/Redirected

AI Security Verdict

High Risk

Confidence: 99%

7
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Domain age information unavailable

Details

Page Title

Site not found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(26%)

Domain Information

You're looking at domain 'send-usdt-05.netlify.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'send-usdt-05'. The registrable portion 'netlify' spans 7 characters containing two 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

Security scan screenshot of http://send-usdt-05.netlify.app

Page Load Overview

0.44s
Total Load Time
3
HTTP Requests
1
Domains
3 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:312 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical26% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
335.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1596150A9D41A203F6D97681F13A4CA4D60297247DC9147D8FFAA53ACD2DBAF305D2428

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoXt:TGHwyA2qlRYZJ3RoXI5+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3227:CAAAAEAMQAAAGAAQAAACIgBQAFA0QAIFBCSA4QCgIACAAAAIAEiSEgQIQgAQKCAEIAUACEAEQAQAAAiAEAAAACAIAAAAAARA

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:ffffe7e7e7e7ffff
Perceptual Hash:b322cc9b336c9933
Difference Hash:00000c0c0c080000
Wavelet Hash:3c3c242427273f3f
Color Hash:#864c2d

Other Hashes

Crop Resistant:00000c0c0c080000

Scan History

Scan history not available

Unable to load historical scan data