Security Scan Report: shpeauxiliar.vercel.app

Submitted: Jul 17, 2026, 6:51:47 PMCompleted: Jul 17, 2026, 6:53:18 PMpubliccompleted

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is shpeauxiliar.vercel.app and was registered 6 years ago.

Submitted URL: https://shpeauxiliar.vercel.app/

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

Language

🇺🇸

English

(80% confidence)

Category

government public service

(58%)

Domain Information

You're looking at domain 'shpeauxiliar.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'shpeauxiliar'. Its registrable label 'vercel' stretches across 6 characters split between 2 vowels and 4 consonants. Segmentation suggests two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of shpeauxiliar.vercel.app

Page Load Overview

0.51s
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 service58% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
58%
news media journalism
58%
healthcare medical
55%
real estate property
54%
cryptocurrency blockchain
52%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.195United States
AS16509Amazon.com, Inc.
21--

Page Statistics

2
Requests
1
Unique Domains
2.0 KB
Total Size

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1223174B745B1702EF23B88FD34E633646244811BC0920F59B658AFB8E2D7CA65123745

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz7h0:TGi9ScnwEYh0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1651:AAAQAAAgACIAJABAAEQAgAAAGAAAAAAAAAAAgCAgAgAAIAADAASACAAAAAAgACAAEIAQAAABAAAAGAAAQABEAAgIggAIAIAB

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:fcfcfce420303020
Color Hash:#55bf40

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data