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

Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 4 domains to perform 17 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

Confirmed Scam

Confidence: 90%

9
Risk Score

Fake OneDrive document-sharing page on vercel.app impersonating Microsoft, using a Telegram bot-token exfiltration channel and ipapi.co targeting. Brand impersonation plus live exfil — confirmed phishing lure.

Risk Factors (6)
Impersonation of Microsoft OneDrive on an unrelated vercel.app subdomain
Telegram bot token embedded in page script — reusable exfiltration channel
Cross-origin POST to ipapi.co for visitor IP/geolocation
Obfuscated JavaScript IDS alert (HIGH) on the page load
Deceptive confidential-document lure with plausible-looking corporate sender identity
Free hosting-platform subdomain with unknown creation date (could have been stood up minutes ago)
Domain age information unavailable

Details

Page Title

OneDrive – Dokument verfügbar

Scan Type

public

Domain Name Analysis

The domain 'b-b-e.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'b-b-e'. Count 6 characters in 'vercel' with two vowels and four consonants. It segments into two words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.43s
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:484 chars
Detector Agreement:50%

Website Classification

Primary Category

download file sharing77% confidence
Type: static
Method: ml+structural

All Detected Categories

download file sharing
77%
documentation technical
62%
technology software
55%
government public service
34%
cryptocurrency blockchain
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2104.18.94.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.69.226Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2149.154.166.110Amsterdam, North Holland, Netherlands
AS62041Telegram Messenger Inc
2104.26.9.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
264.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2104.18.95.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
177--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T133A2575B63A31425BD13E0A96FA753063225E403D80BC96D3FDC5398CFC6589ADA37AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:BIUOYlCQKgDpmWelzZn+4/JwJbcqXi1hKd+5avHnQQeQWtcnRo1MSmmR+JqF3ZJF:BILMb1k3Zb9lJRp9VWFe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21743:0CAlDQGaAGciBIqdCjBUAUiFUkHjNABEkEkCeKAEEEAMHYQCogG8CooKkawqATtUSKGRArzIhIoByhJCOgGGSEgQDkVoqAIQ

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:070b3f3f2c241c00
Color Hash:#9f53ac

Other Hashes

Crop Resistant:28141058584c1400

Scan History

Scan history not available

Unable to load historical scan data