Security Scan Report: www.stepful.com

Submitted: Jan 24, 2026, 5:01:42 PMCompleted: Jan 24, 2026, 5:03:12 PMpubliccompleted
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Summary

This website contacted 16 IPs in 3 countries across 16 domains to perform 1 HTTP transaction. The main domain is stepful.com and was registered NaN years ago.

Submitted URL: https://www.stepful.com

The Cisco Umbrella rank of the primary domain is #118,589 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Well-established domain (>8 years old)
No malicious Indicators of Compromise
No forms collecting sensitive data
Consistent branding with legitimate business purpose
Domain age information unavailable

Details

Page Title

Stepful – Online Training for Healthcare Jobs

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(50%)

Domain Information

The domain name 'www.stepful.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The core label 'stepful' covers 7 characters holding two vowels versus 5 consonants. Word splitting yields two words: step, ful. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.stepful.com

Page Load Overview

5.30s
Total Load Time
171
HTTP Requests
50
Domains
2.3 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:8,241 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical50% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
50%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21104.16.139.209Germany
10104.18.86.42United States
AS13335CLOUDFLARENET
1052.51.205.9Dublin, Leinster, Ireland
AS16509AMAZON-02
1044.255.236.27Boardman, Oregon, United States
AS16509AMAZON-02
10192.178.170.95United States
AS15169GOOGLE
10142.251.140.163United States
AS15169GOOGLE
10104.18.160.117United States
AS13335CLOUDFLARENET
1052.222.236.94United States
AS16509AMAZON-02
10198.202.211.1United States
AS209242Cloudflare London, LLC
10142.250.201.74United States
AS15169GOOGLE
17116--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T192B309A2F77090B6011747E8B3BAF35DA0EBA59FCC62A484F5FC52D06BC2DED6894144

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:M7Dpjh++lQ0qxN/WU5fr33Pm3e6AxN6A3nBA+NOk3npnWmW+WcWpc4W/kgemXy3F:O07ce33O3e6+6uZS2yW8FS1fB33dveIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:114097:BB5MKoiJFUshzkC0BgQLGAsB00sQWgFIAREMCSZCMIMUYp6LmggDDCgATTTApQEVIBvmRMsswAo8mVQQMi0WYpyBSEwJADAW

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:fdf391b1f1f1fbff
Perceptual Hash:ed4b92e6931b6c90
Difference Hash:4927336367276308
Wavelet Hash:a4f18191e191f9e7
Color Hash:#c58793

Scan History

Scan history not available

Unable to load historical scan data