Security Scan Report: itauu.vercel.app

Submitted: Completed: publiccompleted
This website contacted 3 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://itauu.vercel.app/abrir.html

AI Security Verdict

High Risk

Confidence: 0%

7
Risk Score

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

Domain age information unavailable

Details

Page Title

Deployment Unavailable

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'itauu.vercel.app' is registered, featuring subdomain 'itauu'. Its registrable label 'vercel' stretches across 6 characters containing 2 vowels alongside four 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

This deployment is unavailable arnd::2f915-1704661055548-cc1898aa08ec

Page Load Overview

0.16s
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:92 chars
Detector Agreement:90%

All Detected Languages

🇩🇰da(56%)🇫🇷fr(44%)

Website Classification

Primary Category

healthcare medical60% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
60%
cryptocurrency blockchain
60%
government public service
57%
news media journalism
55%
real estate property
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.195Aws · CLOUDUnited 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

T1933176B745B1702EF33B8CFD34E677646244851BC0920F99B518EBB4E2C7CA75023645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz7NQ0:nGi9ScnwEYNQ0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1636:ABEAAAAAAAEAACYAAIAACAAAAAAICAAIAAAAAIIEQAQAAAAgABAIAACAAAAAIECAAAAABAwEAAAgAAQIAAAQIAAMAAAAARAA

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:0f0f3f2724343c24
Color Hash:07000000000

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data