Security Scan Report: lotescadasbh09.vercel.app

Submitted: Jul 3, 2026, 7:51:56 AMCompleted: Jul 3, 2026, 7:53:32 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 lotescadasbh09.vercel.app and was registered NaN years ago.

Submitted URL: https://lotescadasbh09.vercel.app/

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

No malicious indicators found; low‑risk site with unknown‑age subdomain.

Risk Factors
Unranked subdomain (lotescadasbh09.vercel.app)
Unknown subdomain creation date
Safety Factors
No credential or payment collection
No malicious JavaScript or network activity
No external links to suspicious domains
Domain age information unavailable

Details

Page Title

Deployment Unavailable

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

The domain name 'lotescadasbh09.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'lotescadasbh09'. The registrable portion 'vercel' spans 6 characters containing 2 vowels alongside four consonants. It segments into two 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://lotescadasbh09.vercel.app/

Page Load Overview

8.10s
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:771 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software84% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
60%
adult content
50%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.67United 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

T1053154B745B1702EF23B88FD34E633646244951BC0921F99B658EBF8E2D7CA69023645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz7sx0:TGi9ScnwEYo0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1651:AAAQAAAgACIAJABAAEQAgAAAGAAAAAAAAAAAgCAgAgAAIAADAASACAAAIAAgACAAEAAQAAABAAAAGAAAQABEAAgIggAIAIAB

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:e699989966999999
Difference Hash:0000000c0c00000c
Wavelet Hash:fcfcfce420383820
Color Hash:#8b79d2

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data