Security Scan Report: send-dt-bsc.vercel.app

Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 4 domains to perform 10 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://send-dt-bsc.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 85%

9
Risk Score

Fake 'Trust Wallet' USDT transfer page on a vercel.app subdomain with a Telegram bot token exfiltrating collected data. Impersonates Trust Wallet and should not be used.

Risk Factors (5)
Brand impersonation of a different entity (Trust Wallet) on a non-official domain
Messaging-bot exfiltration via embedded Telegram bot token in page JavaScript
Subdomain on a free instant-publishing hosting platform with no attributable creation date
Unranked in Cisco Umbrella (not in top 1M) while presenting a known crypto wallet brand
Crypto transfer/crypto-drainer context
Domain age information unavailable

Details

Page Title

Transfer Trust Wallet

Scan Type

public

Domain Name Analysis

The domain 'send-dt-bsc.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'send-dt-bsc'. The core label 'vercel' covers 6 characters with two vowels and 4 consonants. Breaking it apart gives two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://send-dt-bsc.vercel.app/

Page Load Overview

6.48s
Total Load Time
198 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:57%
Script:Latin
Direction:ltr

Detection Details

Text Length:89 chars
Detector Agreement:67%

Website Classification

Primary Category

finance banking69% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
69%
cryptocurrency blockchain
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
123.207.210.143Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
123.67.142.207Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
123.207.210.148Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
107--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T178E1C626F8E21A5A300385A629D3B13EBA3CD217C20FDD5CB5EC90755FC3E899DA7044

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:zdvWqfUuCal9iCDaJAkow/LzEL5k5tDRhsB/WlR4Vi:zdvXVfFKow/LUgtNhshi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7146:BAADEKgw1siGAUAgACp0gQrBhxBMEhAIOFpBD0CgQJEiRkKMhBAgCYoGYHl22BEKIzsYiLsCzwgABiBwYQjRDgSBAEBY6AAt

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:e7e7ffffffffffe7
Perceptual Hash:b3993399338c66cc
Difference Hash:4c4c04000000304d
Wavelet Hash:e3e3c7df03030303
Color Hash:#7f79d2

Other Hashes

Crop Resistant:4c4c04000000304d

Scan History

Scan history not available

Unable to load historical scan data