Security Scan Report: bnimail-owa.vercel.app

Submitted: Completed: publiccompleted
This website contacted 2 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://bnimail-owa.vercel.app/

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.

Security Verdict: High Risk

Details

Page Title

Deployment Unavailable

Scan Type

public

Domain Name Analysis

The domain 'bnimail-owa.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'bnimail-owa'. The second-level label 'vercel' is 6 characters long holding 2 vowels versus 4 consonants. Word splitting yields 2 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 arn: :71glx-1794743467336 -0e809bcbac82

Page Load Overview

0.17s
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%

All Detected Languages

🇫🇷fr(71%)🇺🇸en(29%)

Website Classification

Primary Category

cryptocurrency blockchain57% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
57%
government public service
56%
news media journalism
56%
healthcare medical
54%
real estate property
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1113174B755B1702EF23B88FE34E677646244851BC0920F59B618EBB8E2C7CA75123645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz70pr0:nGi9ScnwEY4r0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1636:ABEAAAAAAAEAACYAAIAACAAAAAAICAAIAAAAAIIEQAQAAAAgABAIAACgAAAAKECAAAAABAwECAAgAAQAAAAQIAAMAAAAAQAA

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:30303c24e4fcfce4
Color Hash:07000000000

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data