Security Scan Report: send-usdt-099.netlify.app

Submitted: Jul 3, 2026, 7:51:57 AMCompleted: Jul 3, 2026, 7:53:33 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is send-usdt-099.netlify.app and was registered NaN years ago.

Submitted URL: https://send-usdt-099.netlify.app/

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

The site shows a 404 page, has no forms or malicious indicators, and is assessed as low risk.

Risk Factors
Subdomain on a hosting platform (.netlify.app) with unknown creation date
Safety Factors
Absence of credential or payment collection fields
No external links or suspicious resources
No obfuscated or malicious JavaScript
Domain age information unavailable

Details

Page Title

Site not found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(79%)

Domain Information

Within the application-focused generic top-level domain (.app), 'send-usdt-099.netlify.app' is registered and includes subdomain 'send-usdt-099'. The registrable portion 'netlify' spans 7 characters with two vowels and five consonants. Word splitting yields 3 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 https://send-usdt-099.netlify.app/

Page Load Overview

8.10s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:771 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software79% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
79%
documentation technical
56%
adult content
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
163.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CB6161A9D41A203F6D97681F13A4CA4D60297607DC9157D8FFEA53ACD2DBAF305C2428

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoXU:TGHwyA2qlRYZJ3RoXIqT+

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:b326cc99336c9933
Difference Hash:00000c0c0c080000
Wavelet Hash:fcfce4e424243c3c
Color Hash:#ac5a53

Other Hashes

Crop Resistant:00000c0c0c080000

Scan History

Scan history not available

Unable to load historical scan data