Security Scan Report: tortest1-nqvb.vercel.app

Submitted: Jul 3, 2026, 4:52:02 AMCompleted: Jul 3, 2026, 4:53:48 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: 68%

2
Risk Score

No malicious activity detected; the site appears low risk.

Risk Factors
Subdomain on hosting platform (.vercel.app) with unknown creation date
Safety Factors
Self‑branding aligns with domain, indicating no brand impersonation
Absence of credential or payment collection forms
No malicious external links or resources
No suspicious JavaScript behavior or exfiltration
Domain age information unavailable

Details

Page Title

tortest1-nqvb.vercel.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(81%)

Domain Information

The domain name 'tortest1-nqvb.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'tortest1-nqvb'. The second-level label 'vercel' is 6 characters long containing two vowels alongside four consonants. Word splitting yields 2 words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

8.09s
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:768 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software81% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
81%
documentation technical
54%
adult content
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.131United 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

T164048F77329A063986558498E05B43099F30B143F50AC9BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:f/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsP42bMy8Oldb:whoC9JSqzzbs6okSjggcpsg2eAB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187951:WABLRcYOhHMGqhhUIDQCiHqAFAtAVEKEFmMZQGJbhlHrwDICgkMuEoA4FAGiWDGcmpK2VkwcNLAw1Y6pGQjmAIQxkEhqBDC0

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:3f1f0303c0f0f0f0
Color Hash:#9a6ce0

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data