Security Scan Report: tortest1-nqvb.vercel.app

Submitted: Jul 17, 2026, 7:51:44 AMCompleted: Jul 17, 2026, 7:53:10 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 tortest1-nqvb.vercel.app and was registered NaN years ago.

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

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

No malicious activity detected; low risk due to unknown subdomain age.

Risk Factors
Subdomain on hosting platform with unknown creation date
Safety Factors
No forms collecting credentials or payment data
No malicious indicators from threat intel, YARA, or IDS
Domain age information unavailable

Details

Page Title

Central

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

government public service

(52%)

Domain Information

Within the application-focused generic top-level domain (.app), 'tortest1-nqvb.vercel.app' is registered with subdomain 'tortest1-nqvb'. The second-level label 'vercel' is 6 characters long with 2 vowels and 4 consonants. Word splitting yields two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.60s
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 service52% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
52%
forum community discussion
44%
finance banking
41%
healthcare medical
38%
phishing scam
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8216.198.79.3United 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

T1ED42FA3642AA087A7607414CA3A57A54725F9207FE1FF620F1AE43213FCEFC14623274

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:WuTMxVDsDILpqyReGqZWd1UDv0mpjiOrpmRxTe8KLOq:WPsDILxRePWd1mji5xTe80j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12211:Y4Y0zAABNeiFdjOAhjkLiEKATQqAACVYzgYAA46gEpAgVENkQvtCoEjIghMYgAA40Izui4JECMZg6QABAk6oCoxEgB1xNlCk

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:#79c6d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data