Security Scan Report: tortest1-nqvb.vercel.app

Submitted: Jul 24, 2026, 5:51:42 PMCompleted: Jul 24, 2026, 5:53:01 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 tortest1-nqvb.vercel.app and was registered NaN years ago.

Submitted URL: https://tortest1-nqvb.vercel.app/

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site shows no malicious forms or indicators, but its unranked Vercel subdomain warrants caution.

Risk Factors
Unranked subdomain on a generic hosting platform
Safety Factors
No forms or data collection fields
No malicious JavaScript or network alerts
Domain age information unavailable

Details

Page Title

Central

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

government public service

(46%)

Domain Information

The domain name 'tortest1-nqvb.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'tortest1-nqvb'. The core label 'vercel' covers 6 characters split between 2 vowels and 4 consonants. It segments into 2 words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tortest1-nqvb.vercel.app/

Page Load Overview

0.39s
Total Load Time
8
HTTP Requests
3
Domains
82 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:pt-BR
Text Length:148 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service46% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
46%
forum community discussion
41%
finance banking
38%
adult content
34%
phishing scam
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8216.198.79.67United States
AS16509Amazon.com, Inc.
81--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18142E83652AA087A7607414CA3A57A54725F9207FE1FF621F1AE83222FCAFC14623274

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:WuTdxVDsDILpqyReVqZ/d1UDv0mpjiOrpmRxTe8KLOq:W+sDILxRek/d1mji5xTe80j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12209:QAKMCAkQsCKRBaFMBgCBGgOgZgrUctwlSoBMAQ4AQuuaBGBmEIpGwIEsKQGSgIICjrBG6ECAE4AQGgMDgGBlvoBAgUwAgrUK

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:00ffffffffffffff
Perceptual Hash:d16a552a552e1f2e
Difference Hash:9190290880040582
Wavelet Hash:00f91774c0e8f2fe
Color Hash:#d2a379

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data