Security Scan Report: bancobb.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://bancobb.vercel.app/

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

The domain 'bancobb.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'bancobb'. Its registrable label 'vercel' stretches across 6 characters containing two vowels alongside 4 consonants. Tokenizing the label suggests two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

This deployment is unavailable fral::ckkg2-1793077247286- 318f de145057

Page Load Overview

0.84s
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:50%

Website Classification

Primary Category

cryptocurrency blockchain61% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
61%
government public service
59%
news media journalism
58%
healthcare medical
55%
adult content
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.67Aws · 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

T11D3176B745B1702EF23BC8FD34D633646244951BC0920F59B518ABF8E2C7CA75123645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz7JVU0:nGi9ScnwEYJO0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1636:ABUAAAAAAAEAACYAAIAACAAAAAAICAAIAAAAAIIEQAQAAAAgABAIAACAAAAAIECAABAABAwEAAAoAAQAAAAQIAAMAAAAAQAA

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:e699999966999989
Difference Hash:0000000c0c00000c
Wavelet Hash:3f3f3f27243c1404
Color Hash:N/A

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data