Security Scan Report: shpeauxiliar.vercel.app

Submitted: Jul 3, 2026, 2:52:53 PMCompleted: Jul 3, 2026, 2:54:30 PMpubliccompleted
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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 shpeauxiliar.vercel.app and was registered NaN years ago.

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

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The site displays a deployment unavailable page with no forms, no malicious code, and no threat intelligence hits; it is low risk.

Risk Factors
Unranked subdomain on a hosting platform (.vercel.app)
Unknown subdomain creation date
Safety Factors
Absence of credential or payment collection forms
No malicious JavaScript or obfuscation
No external links or IoC references
Domain age information unavailable

Details

Page Title

Deployment Unavailable

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(77%)

Domain Information

Domain 'shpeauxiliar.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'shpeauxiliar'. Count 6 characters in 'vercel' holding two vowels versus four consonants. Word splitting yields 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://shpeauxiliar.vercel.app/

Page Load Overview

8.11s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:765 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software77% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
77%
documentation technical
50%
adult content
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.67United States
AS16509Amazon.com, Inc.
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1303196F745B1702EF33B88FD34E637682244811BC0920F99B658AFF8E2D7CA65023645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz770:TGi9ScnwEY70

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1651:AAAQAAAgACIAJABAAEQAgAAAGAAAAAAAAAAAgCAgAgAAIAADAASACAAAAAAgACAAEAAQAAABAAAAGAAAQABEAAgIggAIAIAB

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:3c3c3c24243c3c24
Color Hash:#3a4b78

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data