ScanMalware.com

Security Scan Report: ustrust.com

Redirected to: https://www.privatebank.bankofamerica.com/

Submitted: Apr 2, 2026, 9:46:06 AMCompleted: Apr 2, 2026, 9:48:06 AMpubliccompleted
Loading additional data...

Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 34 HTTP transactions. The main domain is privatebank.bankofamerica.com and was registered NaN years ago.

Submitted URL: https://ustrust.com

Effective URL: https://www.privatebank.bankofamerica.com/Redirected

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The site mimics Bank of America branding on an unrelated, unranked domain but contains no credential collection; treat as suspicious.

Risk Factors
Brand impersonation via meta tags on a non‑official domain
Unranked domain hosting brand‑specific content
Garble in OCR extracted text ("BANK OF'AMERICA “7 EPRIVATE: BANK?") suggesting possible spoofing
Safety Factors
Domain age > 30 years (well‑established)
No forms collecting credentials or payment data
No malicious Indicators of Compromise matches
No JavaScript malware or IDS alerts detected
HTTPS connection
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by access_denied bot protection. Our scanner was challenged or blocked during access.

Page Title

Bank of America Private Bank - Private Wealth Solutions

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(78%)

Domain Information

The domain 'ustrust.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. Count 7 characters in 'ustrust' split between 2 vowels and 5 consonants. Word splitting yields 2 words: us, trust. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ustrust.com

Page Load Overview

34.35s
Total Load Time
172
HTTP Requests
28
Domains
19.0 MB
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-US
Text Length:19,297 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking78% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
78%
technology software
51%
adult content
29%
government public service
28%
corporate business
27%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
36171.159.126.101Germany
AS15169
34171.161.110.101United States
AS10794Bank of America, National Association
3413.33.187.58New York, New York, United States
AS16509Amazon.com, Inc.
34171.161.126.85Germany
AS13335
3423.36.162.218Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1725--

Detected Technologies5

PasswordField
100%
F5 BigIP
40%
ZURB Foundation
30%
Vue.js
30%
Ghost
15%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F4A3E73091F6CA37496E3668F046FB869663934FC3C78FF9669DC0452682D885C7F1A8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:/U/lB6UoZ+EuLv6TKOQTaz5EXTKOQTaXsH:/KgTKOQTaFEXTKOQTaa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:97919:I0MogjOFygAcQZALYjIMIMUIhbYWQMTY4yciBQGAsHoZ4DiPCxtBINFUOpTB1wH0VCEoQCGVEEbCEASnCAEguIIgV4BkCCAK

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:9fbfffffffffffff
Perceptual Hash:9e1e1e1e1e1e1ee0
Difference Hash:7020000000000000
Wavelet Hash:90f0f0f0f0f0f0f0
Color Hash:#65931f

Other Hashes

Crop Resistant:7020000000000000

Scan History

Scan history not available

Unable to load historical scan data