Security Scan Report: claim-jupuary.vercel.app

Redirected to:
https://claim-jupuary.vercel.app/
Submitted: Jul 23, 2026, 5:50:47 AMCompleted: Jul 23, 2026, 5:53:25 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 claim-jupuary.vercel.app and was registered NaN years ago.

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

Effective URL: https://claim-jupuary.vercel.app/Redirected

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

(58%)

Domain Information

Within the application-focused generic top-level domain (.app), 'claim-jupuary.vercel.app' is registered with subdomain 'claim-jupuary'. The core label 'vercel' covers 6 characters with 2 vowels and four consonants. Splitting it apart reveals two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.50s
Total Load Time
3
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 service58% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
58%
news media journalism
55%
healthcare medical
55%
cryptocurrency blockchain
54%
real estate property
54%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.198.79.131United States
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

T1B73154B745B1702EF23B88FD34E637647244851BC0920F99B558FBB8E2D7CA69123645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz7H40:TGi9ScnwEYY0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1651:AAAQIAAgACIAJABAAEQAgAAAGAAAAAAAAAAAgCAgAgAAIAADAASACAAAAAAgACIAEAAQAAABAAAAGEAAQABEAAgIggAIAIAB

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:e6998c9966999999
Difference Hash:0000000c0c00000c
Wavelet Hash:fcfcfce420303020
Color Hash:#2d8652

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data