Security Scan Report: b-b-e.vercel.app

Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 4 domains to perform 18 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://b-b-e.vercel.app/

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Fake Microsoft OneDrive document-sharing page on a free vercel.app subdomain, with an embedded Telegram bot token for exfiltration — brand impersonation and phishing lure, not a real Microsoft service. Avoid interaction.

Risk Factors (5)
Brand impersonation of Microsoft OneDrive on a non-official vercel.app subdomain
Telegram bot token embedded in page script (messaging-bot exfiltration capability)
Deceptive 'encrypted shared document' lure with spoofed internal-sender details
Cross-origin IP-geolocation POST to ipapi.co and Telegram API calls from a file-sharing page
Unknown-age free hosting subdomain with no reputation
Domain age information unavailable

Details

Page Title

OneDrive – Dokument verfügbar

Scan Type

public

Domain Name Analysis

You're looking at domain 'b-b-e.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'b-b-e'. Count 6 characters in 'vercel' holding 2 vowels versus four consonants. Segmentation suggests two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://b-b-e.vercel.app/

Page Load Overview

1.45s
Total Load Time
2.1 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:de
Text Length:483 chars
Detector Agreement:50%

Website Classification

Primary Category

download file sharing76% confidence
Type: static
Method: ml+structural

All Detected Categories

download file sharing
76%
documentation technical
63%
technology software
56%
government public service
35%
cryptocurrency blockchain
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
664.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2104.18.95.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.8.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2149.154.166.110Amsterdam, North Holland, Netherlands
AS62041Telegram Messenger Inc
2104.18.94.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.9.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
187--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FAA2575B63A31425BD13E0A95FA753063225E403D80BC96D3FDC5398CFC6589ADA37AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:BIUOYlCQKgDpmWelzZn+4/JwJbcqXi1hKd+5avHnQQeQWtcnRo1MSmmR+JqF3ZbW:BILMb1k3ZulJRp9VWFe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21742:xA1GEYgAAEYyAJKcABAFAQUdhgKDJGGHufgmHCESFgUCFdgHIiCYCMJKgYgQYLJgwagAIkvAoKhQjCIYCwGEYEBAGAEhmgIq

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:0058582c5c000000
Perceptual Hash:999966669b26c699
Difference Hash:28141058584c1400
Wavelet Hash:030b3f3f2c241c00
Color Hash:#2dd298

Other Hashes

Crop Resistant:28141058584c1400

Scan History

Scan history not available

Unable to load historical scan data