Security Scan Report: jupuary-drop.vercel.app

Submitted: Jul 2, 2026, 12:50:45 AMCompleted: Jul 2, 2026, 12:54:24 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is jupuary-drop.vercel.app and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 451 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Deployment Unavailable

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(56%)

Domain Information

The domain 'jupuary-drop.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'jupuary-drop'. The registrable portion 'vercel' spans 6 characters with 2 vowels and 4 consonants. It segments into 2 words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.25s
Total Load Time
2
HTTP Requests
1
Domains
2 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:92 chars
Detector Agreement:50%

Website Classification

Primary Category

government public service56% confidence
Type: static
Method: ml+structural

All Detected Categories

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

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.131United States
AS16509Amazon.com, Inc.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13B3154B745B1702EF23B88FE34E677646244811BC0960F99B658EFB8E2C7CA75123645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz7280:TGi9ScnwEY280

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1651:AAAQBAAgACIAJABAAEQAgAAAGAAAAAAAAAAAgCAgAgAAIAATAASACAAAAAAgACAAEAAQAAABAAAAGAgAQABEAAgIggAIAIAB

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:e699cc9966999899
Difference Hash:0000000c0c00000c
Wavelet Hash:f0f0fce420383c24
Color Hash:#53ac9f

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data