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

Submitted: Jul 3, 2026, 7:51:59 AMCompleted: Jul 3, 2026, 7:53:36 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-099.netlify.app and was registered NaN years ago.

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

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The page is a standard Netlify 404 with no malicious indicators; classified as low risk.

Risk Factors
Domain is unranked in Cisco Umbrella
Subdomain creation date is unknown (could be newly created)
Safety Factors
Absence of credential or payment collection fields
No external links or malicious scripts
No brand impersonation or phishing content
Domain age information unavailable

Details

Page Title

Site not found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(79%)

Domain Information

The domain name 'send-usdt-099.netlify.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'send-usdt-099'. The core label 'netlify' covers 7 characters with 2 vowels and 5 consonants. Splitting it apart reveals 3 words: net, li, fy. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://send-usdt-099.netlify.app

Page Load Overview

8.11s
Total Load Time
3
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
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

T13E6161A9D41A203F6D97681F13A4CA4D60297607DC9147D8FFEA53ACD6DBAF305C2838

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoX7:TGHwyA2qlRYZJ3RoXIqI+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3227:CAAAAEAMQAAAGAAQAAACIgBQAFA0QAIFBCSA4QCgIACAAAAIAEiSEgQIQgBQKCAEIAUACEAEQAQAAAiAEAAAACAIAAAAAARA

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:fcfce4e424243030
Color Hash:#c5c087

Other Hashes

Crop Resistant:00000c0c0c080000

Scan History

Scan history not available

Unable to load historical scan data