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

Confirmed Scam

Confidence: 90%

9
Risk Score

Fake OneDrive 'confidential PDF' sharing page on a vercel.app subdomain, impersonating Microsoft and wired with a Telegram bot token for exfiltration plus a honeypot field — a phishing kit, not a real file-share.

Risk Factors (6)
Brand impersonation of Microsoft OneDrive on an unrelated vercel.app subdomain
Telegram bot token embedded in inline script enabling exfiltration of captured data
Honeypot field used to filter automated analysis
Fake 'confidential PDF' sharing lure naming a specific person and email address at b-b-e.de
External IP lookup to ipapi.co for victim profiling/redirect gating
Unknown-age tenant on a shared hosting platform with no reputation
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) with subdomain 'b-b-e'. Count 6 characters in 'vercel' with two vowels and 4 consonants. Word splitting yields two words: ver, cel. Expect three 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

0.38s
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 sharing76% confidence
Type: static
Method: ml+structural

All Detected Categories

download file sharing
76%
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
6216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2104.18.95.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.69.226Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2149.154.166.110Amsterdam, North Holland, Netherlands
AS62041Telegram Messenger Inc
2104.18.94.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
264.29.17.67Aws · 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

T123A2575B63A31425BD13E0A95FA753063225E403D80BC96D3FDC5398CFC6589ADA37AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:NIUOYlCQKgDpmWelzZn+4/JwJbcqXi1hKd+5avHnQQeQWtcnRo1MSmmR+JqF3Z1h:NILMb1k3ZllJRp9VWFe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21737:gPBGA2MgGO0TLtwAVV4mFAhMK1XQmGkEAW84gAwFgiBVAAZJAHCIWAsEJAKVZzSMCAJggMPRIglgDYaCgDB7Zzy5C6o0TGCU

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:0f0b3f3f2c241c00
Color Hash:#afc587

Other Hashes

Crop Resistant:28141058584c1400

Scan History

Scan history not available

Unable to load historical scan data