Security Scan Report: promoshop-nivel-laser.vercel.app

Submitted: Jul 11, 2026, 1:51:48 PMCompleted: Jul 11, 2026, 1:53:18 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 promoshop-nivel-laser.vercel.app and was registered NaN years ago.

Submitted URL: https://promoshop-nivel-laser.vercel.app/

AI Security Verdict

Low Risk

Confidence: 70%

3
Risk Score

The site shows a simple deployment‑paused page, has no forms or malicious indicators, but its unranked subdomain and unknown age warrant moderate caution.

Risk Factors
Unranked subdomain on Vercel hosting
Unknown subdomain age
Safety Factors
No malicious JavaScript or YARA detections
No network IDS alerts
No external links or cross‑origin form submissions
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

Deployment Paused

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(64%)

Domain Information

You're looking at domain 'promoshop-nivel-laser.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'promoshop-nivel-laser'. Count 6 characters in 'vercel' containing 2 vowels alongside 4 consonants. It segments into two words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://promoshop-nivel-laser.vercel.app/

Page Load Overview

0.22s
Total Load Time
2
HTTP Requests
1
Domains
2 KB
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:94 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service64% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
64%
cryptocurrency blockchain
60%
news media journalism
58%
healthcare medical
56%
real estate property
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.195United States
AS16509Amazon.com, Inc.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B131747755B1702EF23B88FE34E673682244901BC0960F99B658ABF8E2C7CAA5123645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:n01AUJXgZH+6n9zS3rJGm9q8hDH48OFFxnrFA+Dclgz9Dln38yRL48Ap7487ta:nGoZ9S3dGNGDY7nnrm+AgJJ8E0X7N70

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1638:oACAAkAAAAEAACWAAIAADAABAACAAAcABAAAQAAAAAAAAAAAAAAAAQCAAARAEACIAAAAQAAACEADgAQAAAUAAAACAAgAMQAA

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:e699cc9966998999
Difference Hash:0000000c0c00000c
Wavelet Hash:0f0f3f27243c2c24
Color Hash:#6d2d86

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data