Security Scan Report: bankautomationnews.com

Redirected to:
https://bankautomationnews.com/payments/amex-to-pay-230m-over-misleadi...
Bot Protection Detected

This website is protected by Cloudflare bot protection. The screenshot and page details below show the page as it was captured.

Submitted: Completed: publiccompleted
This website contacted 38 IPs in 2 countries across 2 domains to perform 11 HTTP transactions. The main domain is bankautomationnews.com and was registered 5 years ago.

Submitted URL: https://bankautomationnews.com/payments/amex-to-pay-230m-over-misleading-sales-practices/

Effective URL:
https://bankautomationnews.com/payments/amex-to-pay-230m-over-misleadi...
Redirected

AI Security Verdict

Safe Website

Confidence: 78%

1
Risk Score

Established 6-year-old fintech news site. The 'BANK OF AMERICA' flag is a related-article headline, not impersonation. Password field is the site's own login; no threat-intel, YARA or IDS hits. Legitimate.

Safety Factors (5)
Domain registered 2020-10-29 (~6 years old)
All JavaScript served from the site's own domain; zero cross-origin JS network targets
No payment fields, no disguised password fields, no cross-origin form submissions
Standard editorial/news content consistent with the domain name
Cloudflare Turnstile bot protection (legitimate anti-bot measure)
Domain age information unavailable

Details

Page Title

Amex to pay $230M over misleading sales practices - FinAi Newsother network

Scan Type

public

Domain Name Analysis

You're looking at domain 'bankautomationnews.com' on the commercial generic top-level domain (.com) with no subdomain. The registrable portion 'bankautomationnews' spans 18 characters holding eight vowels versus 10 consonants. Breaking it apart gives three words: bank, automation, news. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bankautomationnews.com/payments/amex-to-pay-230m-over-misleading-sales-practices/

Page Load Overview

3.31s
Total Load Time
1004 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-us
Text Length:398 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software73% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
73%
finance banking
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11162.159.134.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.20.132Google · CDNUnited States
AS15169Google LLC
0142.250.154.155Google · CDNUnited States
AS15169Google LLC
0142.251.14.95Google · CDNUnited States
AS15169Google LLC
0150.171.109.99Azure · CLOUDUnited States
AS8075Microsoft Corporation
079.127.216.204Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
0104.16.141.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0192.0.73.2San Francisco, California, United States
AS2635Automattic, Inc
0142.251.155.119Google · CDNUnited States
AS15169Google LLC
023.52.180.4Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
1138--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C87409B61A6C927730761BC72C95F35AB21A403AF54379E4F6FDA29883C5DD229B310C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:DMgK36MccyQYslNsg13+7j/tJ9hBAj9hg5bN92/UQ:gpFsg13+7j/ts1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:344211:fQYhE5MJy4DsiwIUONRohQSFSoFgAZAg2kAQvCMngIDAJXS8CHyCwCgCDJgEgIB0A4A0MGcJLfocQiYmQ4YAWRcFAHAg2TqB

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:ffc3cfffffc3c3c3
Perceptual Hash:ed926028cf98cf9a
Difference Hash:3b961e3322139332
Wavelet Hash:9dc38ffb83c1c1c0
Color Hash:#7994d2

Scan History

Scan history not available

Unable to load historical scan data