Security Scan Report: tortest1-nqvb.vercel.app

Submitted: Jul 10, 2026, 5:51:26 AMCompleted: Jul 10, 2026, 5:52:44 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%

3
Risk Score

No concrete malicious signals; moderate risk due to unknown subdomain age and unranked hosting.

Risk Factors
Unranked subdomain on a hosting platform
Unknown subdomain age
Potential social engineering text without form
Safety Factors
No credential or payment forms detected
No Indicators of Compromise matches
No malicious JavaScript or IDS alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

Central

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

government public service

(52%)

Domain Information

The domain name 'tortest1-nqvb.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'tortest1-nqvb'. The core label 'vercel' covers 6 characters holding two vowels versus four consonants. Breaking it apart gives two words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.53s
Total Load Time
10
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
43%
finance banking
41%
healthcare medical
38%
phishing scam
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1064.29.17.195United States
AS16509Amazon.com, Inc.
101--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FA42F93642AA087A7607814CA3A57A54715F9207FE1FF620F1AE83223FCEFC14623274

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:WuTMxVDsDILpqyReAqZUd1UDv0mpjiOrpmRxTe8KLOq:WPsDILxReVUd1mji5xTe80j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12211:Y4Y0zAABNeiFdjOAhjkLiEKATQqAACVYzgYAA46gE5AgVEFkQvtCoEjIghMYggA40Izui4JECMZg6QABAk6oCoxEgB1xNlCk

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:#ac538e

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data