ScanMalware.com

Security Scan Report: bells.ai

Redirected to: https://www.ntst.com/carefabric/careguidance-solutions/ai-documentation-assistant

Submitted: Mar 21, 2026, 11:06:14 PMCompleted: Mar 21, 2026, 11:08:26 PMpubliccompleted
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Summary

This website contacted 17 IPs in 2 countries across 17 domains to perform 1 HTTP transaction. The main domain is ntst.com and was registered NaN years ago.

Submitted URL: https://bells.ai

Effective URL: https://www.ntst.com/carefabric/careguidance-solutions/ai-documentation-assistantRedirected

The Cisco Umbrella rank of the primary domain is #363,172 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

Legitimate product page with no security concerns.

Safety Factors
Established domain age
Absence of credential or payment collection forms
Consistent branding between meta tags and final domain (ntst.com)
No malicious Indicators of Compromise
JavaScript appears minified/obfuscated but without malicious signatures
Domain age information unavailable

Details

Page Title

AI-Powered Clinical Documentation Assistant | Bells | Netsmart

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(44%)

Domain Information

You're looking at domain 'bells.ai' on the Anguillan country-code top-level domain (.ai) without a subdomain. Its registrable label 'bells' stretches across 5 characters split between one vowel and four consonants. Segmentation suggests one word: bells. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bells.ai

Page Load Overview

25.70s
Total Load Time
346
HTTP Requests
33
Domains
5.8 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
Text Length:64,117 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software44% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
44%
corporate
35%
healthcare medical
32%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
263.161.82.81United States
AS15169
2018.245.86.128United States
AS16509Amazon.com, Inc.
2023.50.131.146Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
203.161.82.40United States
AS16509Amazon.com, Inc.
20151.101.2.217United States
AS54113Fastly, Inc.
2052.222.136.89United States
AS16509Amazon.com, Inc.
2020.118.56.7Des Moines, Iowa, United States
AS8075Microsoft Corporation
2023.67.142.205Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
20104.18.37.212United States
AS13335Cloudflare, Inc.
20142.251.127.97United States
AS15169Google LLC
34617--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C754A510E0F60233109342FE7AA6D7166EB2C503D103A90572FE5B599FCAE97DA37A1D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Zj7MNikEm3msiBNvQRy5uNOqDvnrRkwAvXWZt3P+nzOI:fkbevIyTqDvnrRkcZK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:296243:gAWpoIAMlcQCBxMBYagCoIgoDIFSopWmKIGHg46VEkwQG0ECRmwjAEIpAEnArYFJwClAzMCeA4ALUoEBOQqJgC4mFkJQBcBR

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:ff00000000fffbf3
Perceptual Hash:8511eed86cd2d26d
Difference Hash:dcdaccfc72c8e3e3
Wavelet Hash:ff00060000fffff3
Color Hash:#6ce0da

Other Hashes

Crop Resistant:dcdaccfc72c8e3e3,7465d65646b636fb,4f6773676f7e7ebe,7190c44010800000,1d066a6ad0e9c1c1

Scan History

Scan history not available

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