Security Scan Report: zara-self-kappa.vercel.app

Submitted: Sep 21, 2026, 12:45:02 PMCompleted: Sep 21, 2026, 12:45:25 PMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

Confirmed wallet-drainer phishing page impersonating Trust Wallet on a Vercel subdomain; reported by ScamSniffer and uses a fake USDT transfer interface.

Risk Factors (5)
Wallet drainer threat-intel match on primary domain
Impersonates Trust Wallet brand on non-official domain
Uses free hosting subdomain to host scam content
Fake USDT transfer interface with no official association
Abused cloud hosting IDS alerts
Domain age information unavailable

Details

Page Title

Transfer Trust Wallet

Scan Type

public

Domain Name Analysis

The domain 'zara-self-kappa.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'zara-self-kappa'. The core label 'vercel' covers 6 characters with two vowels and 4 consonants. Tokenizing the label suggests two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://zara-self-kappa.vercel.app/

Page Load Overview

2.84s
Total Load Time
176 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
364.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1151.101.193.229Fastly · CDNUnited States
AS54113Fastly, Inc.
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
64--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T193310306FD915A0AB00355BA0DDFB17C397CE82783084D9C3D9CE5349F62BE979A3809

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hAhAANF6nvVmm53iWDqjWETr3u1QXa1QXpjNInCNInaJOWmkoRWAHJWL6OeZRl4G:GAAcVvcWWqO3uuaupjWCWaJ9mkowA4Lg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1465:AAAEACgAgAEAABATAABgAAAAAAAEAAgAEABQCkGAABEQAiAAAgAAAQAAAAAAEAAAAiAAAAACAAAACAAQAABDAAAABAAAwAAA

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:1818000000000018
Perceptual Hash:cc66cc66cc339933
Difference Hash:30300000000008b2
Wavelet Hash:1818383000003c3c
Color Hash:#bf9540

Other Hashes

Crop Resistant:30300000000008b2

Scan History

Scan history not available

Unable to load historical scan data