Security Scan Report: www.send-clickdt.vercel.app

Redirected to:
https://send-clickdt.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 7 IPs in 3 countries across 5 domains to perform 11 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://www.send-clickdt.vercel.app/

Effective URL:
https://send-clickdt.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake Trust Wallet USDT transfer page on a throwaway vercel.app subdomain whose inline script carries a Telegram bot token for exfiltration — a crypto drainer/phishing lure, not the real wallet.

Risk Factors (4)
Impersonation of the Trust Wallet brand on a non-official, unranked vercel.app subdomain
Inline script containing a Telegram bot token used as an exfiltration channel
Crypto-transfer lure ('Send USDT') designed to capture wallet interaction/seed or transaction data
Free instant hosting subdomain with unknown creation date, commonly abused for throwaway phishing pages
Domain age information unavailable

Details

Page Title

Transfer Trust Wallet

Scan Type

public

Domain Name Analysis

The domain 'www.send-clickdt.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'www.send-clickdt'. Count 6 characters in 'vercel' holding two vowels versus 4 consonants. Segmentation suggests two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Send USDT Address or Domain Name 0x4683540fFf49 1AAFDE17b7C3fE Paste 3 © Amount 1 USDT Max = $1.00

Page Load Overview

0.66s
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
564.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.16.180.112Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
12.22.248.82Akamai · CDNMilan, Lombardy, Italy
AS20940Akamai International B.V.
123.67.142.207Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.16.179.112Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
117--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T157F1E726F8D2194B300385B62AD3B03EBA3CD527C20FCD5CB5AC91755FC7E9999A7144

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:/dvWqfUuCal9iCDaJAkow/LqEL5W5tDBiR/WlR4Vi:/dvXVfFKow/LTut9ixi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7735:7USKACBaQMUa+AECKTQHuCAAIsEIekxhAoNcayoRgYMcQSAEkABx5naCZQXAAEAQRwqZgAlRIJiJlAFBhoDKlXAHRFBoGnBB

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:b399339926cc66cc
Difference Hash:484c04000000304d
Wavelet Hash:c7c7c3c30f0f0b03
Color Hash:N/A

Other Hashes

Crop Resistant:484c04000000304d

Scan History

Scan history not available

Unable to load historical scan data