Security Scan Report: www.009090334mn.vercel.app

Redirected to:
https://009090334mn.vercel.app/
Submitted: Aug 30, 2026, 3:51:23 AMCompleted: Aug 30, 2026, 3:52:53 AMpubliccompleted

This website contacted 2 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is 009090334mn.vercel.app and was registered 6 years ago.

Submitted URL: https://www.009090334mn.vercel.app/

Effective URL:

https://009090334mn.vercel.app/
Redirected

AI Security Verdict

Not Assessed

This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.

Error or status pages carry no content to analyse. The site may still be active on another path.

Details

Page Title

Deployment Unavailable

Scan Type

public

Domain Name Analysis

The domain name 'www.009090334mn.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'www.009090334mn'. The core label 'vercel' covers 6 characters holding 2 vowels versus 4 consonants. Tokenizing the label suggests 2 words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.009090334mn.vercel.app/

Page Load Overview

0.69s
Total Load Time
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:92 chars
Detector Agreement:50%

Website Classification

Primary Category

cryptocurrency blockchain56% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
56%
government public service
54%
news media journalism
54%
healthcare medical
53%
real estate property
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.195United States
AS16509Amazon.com, Inc.
164.29.17.195United States
AS16509Amazon.com, Inc.
32--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1683172B745B1702EF33B8CFE34E637642244811BC0820F99B618EFB8E2C7CA65023645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz7EZ0:TGi9ScnwEYEZ0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1651:AAAQAAAgACIgJABAAEQAgAAAGAAAAAAAAAAAgCAgAgAAIAADAASACAAAAAAgACAAEAAQAAABAAAAGAAAQABEAAgIggAIAIAB

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:ffffffe7e7ffffe7
Perceptual Hash:e699989966999999
Difference Hash:0000000c0c00000c
Wavelet Hash:3c3c3c24e0f0fce4
Color Hash:#c587a3

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data