Security Scan Report: www.trust-walletsupportsdesk.vercel.app

Redirected to:
https://trust-walletsupportsdesk.vercel.app/
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Submitted: Aug 19, 2026, 12:45:15 PMCompleted: Aug 19, 2026, 12:46:53 PMpubliccompleted

Summary

This website contacted 8 IPs in 3 countries across 8 domains to perform 1 HTTP transaction. The main domain is trust-walletsupportsdesk.vercel.app and was registered NaN years ago.

Submitted URL: http://www.trust-walletsupportsdesk.vercel.app/

Effective URL: https://trust-walletsupportsdesk.vercel.app/Redirected

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

Page impersonates Trust Wallet brand on an unknown-age Vercel subdomain but lacks credential collection; treat as moderate risk.

Risk Factors
Brand impersonation without credential collection
Unknown subdomain age on a free hosting platform
Unranked domain
Safety Factors
No password or payment fields
No credential exfiltration or malicious JavaScript detected
Form submits to official Trust Wallet support site (no cross‑origin credential posting)
Domain age information unavailable

Details

Page Title

Support : Trust Wallet Support

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(50%)

Domain Information

You're looking at domain 'www.trust-walletsupportsdesk.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'www.trust-walletsupportsdesk'. The registrable portion 'vercel' spans 6 characters with 2 vowels and 4 consonants. Word splitting yields two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.trust-walletsupportsdesk.vercel.app/

Page Load Overview

7.82s
Total Load Time
63
HTTP Requests
17
Domains
779 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:1,051 chars
Detector Agreement:75%

Website Classification

Primary Category

finance banking50% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

finance banking
50%
cryptocurrency blockchain
32%
cryptocurrency
30%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14192.178.170.95Google · CDNUnited States
AS15169Google LLC
745.43.142.100United Kingdom
AS16276OVH SAS
754.231.226.96Aws · CLOUDAshburn, Virginia, United States
AS16509Amazon.com, Inc.
7104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
764.29.17.195United States
AS16509Amazon.com, Inc.
7104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7185.111.111.155Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
764.29.17.67United States
AS16509Amazon.com, Inc.
638--

Page Statistics

63
Requests
17
Unique Domains
1.2 MB
Total Size

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14D33B771A9F01426105390953AB1BF49BA20D007DE0EDAA97AEC57649FCBE93CD7378C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7me1uWfBlCz+/M3+5rAASonjYnQAdgKWLGkwTaUPjjr/eD:ye1uWZl6O5rAASonjwQAdgKWLGkwTaUi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:52531:RTggoUrDhjVADQIyjEhkBRBpJZIiQMIBCBDYJZAU1EiAkIUFBbSLCAFkpMEUIAFpGNJgKBCSLIsQUGKVAgRoYBog5hyRiAhg

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:ff9fbf8181e381c0
Perceptual Hash:bf94c1a27da2c586
Difference Hash:303a742b2b2b2b2a
Wavelet Hash:ff8f9fc381c38180
Color Hash:#bfbd40

Other Hashes

Crop Resistant:303a742b2b2b2b2a

Scan History

Scan history not available

Unable to load historical scan data