Security Scan Report: cancelarsegurodecardiff360.vercel.app

Submitted: Sep 7, 2026, 3:50:38 AMCompleted: Sep 7, 2026, 3:51:59 AMpubliccompleted

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

Domain Name Analysis

The domain 'cancelarsegurodecardiff360.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'cancelarsegurodecardiff360'. The registrable portion 'vercel' spans 6 characters holding two vowels versus four consonants. Splitting it apart reveals 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://cancelarsegurodecardiff360.vercel.app/

Page Load Overview

0.21s
Total Load Time
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:198 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical78% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
78%
government public service
44%
cryptocurrency blockchain
36%
technology software
32%
real estate property
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.131United States
AS16509Amazon.com, Inc.
064.29.17.3United States
AS16509Amazon.com, Inc.
0216.198.79.3United States
AS16509Amazon.com, Inc.
23--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F981B3377B68211AF333C89FA1C26B993010A122D1ABCAB9FF57DF15D5CA1251E0278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGR6Z9qGNGDY7nnr9YN6yhcCJd1XfBA3ILreuoi0Z1nde2ORegwDMWNW0eNMMf0Q:TGRe91n5O6Yp63XKk1Vr3hUZRkM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3849:BAAQQQSAIAAygGSABIQEEBBACgiAAIDAAAIUwAAAkgcCCEGAgECAEAAIEABKIAEggCDBoQOEcQwAEAAICFEA5AAJAAkACKwA

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:000000181e040000
Wavelet Hash:30303c00c0c0fcfc
Color Hash:#6853ac

Other Hashes

Crop Resistant:000000181e040000

Scan History

Scan history not available

Unable to load historical scan data