Security Scan Report: pagplus.vercel.app

Submitted: Jul 23, 2026, 5:50:45 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 1 HTTP transaction. The main domain is pagplus.vercel.app and was registered NaN years ago.

Submitted URL: https://pagplus.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

(52%)

Domain Information

Domain 'pagplus.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'pagplus'. The core label 'vercel' covers 6 characters holding 2 vowels versus 4 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 https://pagplus.vercel.app/

Page Load Overview

0.55s
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 service52% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
52%
news media journalism
49%
real estate property
49%
healthcare medical
49%
cryptocurrency blockchain
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.67United 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

T1C73154B745B1702EF23B88FD34D637646244811BC0920F99B658FFB8E2C7CA75523645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz7s0:TGi9ScnwEYs0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1651:AAAQAAAgACIAJABAAEQAgAAAGAAAAAAAAAAAgCQgAgAAIAADAISACAAAAAAgACAAEAAQAAABAAAAGAAAQABEAAgIggAIAIAB

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:fcfcfce4040c0c04
Color Hash:#1f5993

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data