Security Scan Report: bank-one-dusky.vercel.app

Submitted: Aug 19, 2026, 12:45:24 PMCompleted: Aug 19, 2026, 12:48:04 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

The site mimics Bank of America using meta tags but lacks login/payment forms; flagged by Safe Browsing and unranked, resulting in moderate risk of brand impersonation.

Risk Factors (4)
Brand impersonation on mismatched domain
Google Safe Browsing social engineering warning
Unranked / low‑reputation domain
Unknown subdomain age on shared‑hosting platform
Domain age information unavailable

Details

Page Title

Bank of America - Banking, Credit Cards, Loans and Merrill Investing

Scan Type

public

Domain Name Analysis

You're looking at domain 'bank-one-dusky.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'bank-one-dusky'. The registrable portion 'vercel' spans 6 characters holding 2 vowels versus 4 consonants. It segments into two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bank-one-dusky.vercel.app/

Page Load Overview

22.83s
Total Load Time
2.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:9,489 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software56% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
56%
finance banking
56%
corporate business
43%
download file sharing
41%
government public service
38%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5323.36.162.207Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
5364.29.17.67United States
AS16509Amazon.com, Inc.
1062--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E174C632D2F21237497E3298F051ABCAAA97874FD7C18FFD766D81502B94C8A1C175AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:cVqj27VlH2dXYFdNPD7sTKOQTasTKOQTaQE8Vba:cUCTsTKOQTasTKOQTaQEX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:367244:QICEkRBkALGhsEAKIMERjSwKJEmCQFggrYIMTMkg0IBRDgEAENgJTwgIGAEA4QAAJoLFMEqIW8gACCUBCChiQXWBEFiAARZc

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:ffffc1c183c181ff
Perceptual Hash:eb81969c9562626f
Difference Hash:d8730b97171f0b89
Wavelet Hash:ffff81c1818181e5
Color Hash:#e08f6c

Scan History

Scan history not available

Unable to load historical scan data