Security Scan Report: jupuary-drop.vercel.app

Redirected to:
https://jupuary-drop.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 3 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://jupuary-drop.vercel.app

Effective URL:
https://jupuary-drop.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

You're looking at domain 'jupuary-drop.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'jupuary-drop'. Count 6 characters in 'vercel' with two vowels and 4 consonants. It segments into two words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://jupuary-drop.vercel.app

Page Load Overview

0.54s
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 blockchain54% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
54%
government public service
53%
news media journalism
52%
real estate property
51%
healthcare medical
50%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
33--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B23152B749B1702EF33B88FE34E637686244951BC0920E59B618ABF8E2C7CA65123645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz7u0:nGi9ScnwEYu0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1636:BBEAAAAAAAEAACYAAIAACAAAAAAICAAIAAAAAIIEQAQAAAAgABAIAACAAAAAIECAAAAABEwEAAAgAAQAAAAQIAAMAAAAAQAA

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:0c0c3c24071f3f27
Color Hash:#797bd2

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data