Security Scan Report: regularizacaodividas.vercel.app

Submitted: Aug 13, 2026, 12:50:50 AMCompleted: Aug 13, 2026, 12:54:45 AMpubliccompleted

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is regularizacaodividas.vercel.app and was registered NaN years ago.

Submitted URL: https://regularizacaodividas.vercel.app/pressel/

AI Security Verdict

Not Assessed

This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.

Error or status pages carry no content to analyse. The site may still be active on another path.

Details

Page Title

404: NOT_FOUND

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(79%)

Domain Information

Within the application-focused generic top-level domain (.app), 'regularizacaodividas.vercel.app' is registered with subdomain 'regularizacaodividas'. The second-level label 'vercel' is 6 characters long holding two vowels versus four consonants. Word splitting yields two 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 regularizacaodividas.vercel.app

Page Load Overview

0.41s
Total Load Time
2
HTTP Requests
1
Domains
0 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:198 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical79% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
79%
government public service
45%
cryptocurrency blockchain
36%
technology software
34%
healthcare medical
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.3United States
AS16509Amazon.com, Inc.
21--

Page Statistics

2
Requests
1
Unique Domains
2.0 KB
Total Size

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12281A4377B69211AF333C89FB1C26B993010A121D16BDAB9FF579F15D6CA1251E0278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGR6Z9qGNGDY7nnr9YN6yhcCJd1XfBA3ILreuoi0Z1nde2ORegwDMWNW0eNM3/Jv:TGRe91n5O6Yp63XKk1Vr3h3RkM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3849:BAAQQQSAIAAygGSABIQEEBBACgiAAIDAAAIUwAAAkgcCCEGAgEDAEAAAEABKIAEggCDBoQOEcQwAEAAICFEA5AAJAAkACKwA

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:ffffffcfc3c3ffff
Perceptual Hash:b199ce663199cc66
Difference Hash:000000180e040000
Wavelet Hash:3f3f3f0303030f0f
Color Hash:#87b7c5

Other Hashes

Crop Resistant:000000180e040000

Scan History

Scan history not available

Unable to load historical scan data