Security Scan Report: kitsbauducco-brown.vercel.app

Submitted: Jul 20, 2026, 9:51:55 AMCompleted: Jul 20, 2026, 9:53:15 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 kitsbauducco-brown.vercel.app and was registered NaN years ago.

Submitted URL: https://kitsbauducco-brown.vercel.app/

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 451 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Notice of DMCA Takedown

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'kitsbauducco-brown.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'kitsbauducco-brown'. The second-level label 'vercel' is 6 characters long holding 2 vowels versus 4 consonants. Tokenizing the label suggests 2 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://kitsbauducco-brown.vercel.app/

Page Load Overview

0.57s
Total Load Time
2
HTTP Requests
1
Domains
4 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:308 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.67United 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

T14D710B3FE3F2B26EE50B8EB955D07154311160B7DA02C6A8EAC49B74E2CB49E5421744

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGVZ9S3reauqNGDY7nnrGhrXlcFMJKtAry7BBYxyHCvmkvsryVXZEDmsFK:TGz9SZlnqwUIAry7BWIivmRIjb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3608:AAKQBgCEhAIAgQkBGDEAIgISAAAUBBUAoBQAgAAYQAAEBgYWAATACGAQAAAQIQAwgJQAEFAImCEEEA0ACQkFCAADAjJiAAAC

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:ffffffc7e7e7ffff
Perceptual Hash:b389cc663399cc66
Difference Hash:0000000c0c080000
Wavelet Hash:c0c0ece427270f0f
Color Hash:#bf4440

Other Hashes

Crop Resistant:0000000c0c080000

Scan History

Scan history not available

Unable to load historical scan data