Security Scan Report: www.oncourselearning.com

Submitted: Mar 20, 2026, 7:59:18 AMCompleted: Mar 20, 2026, 8:00:59 AMpubliccompleted
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Summary

This website contacted 14 IPs in 1 country across 15 domains to perform 225 HTTP transactions. The main domain is oncourselearning.com and was registered NaN years ago.

Submitted URL: https://www.oncourselearning.com/resources/how-to-become-a-mortgage-loan-officer-in-six-steps

The Cisco Umbrella rank of the primary domain is #144,190 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 405 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

How to Become a Mortgage Loan Officer in 6 Simple Steps | OnCourse Learning

Scan Type

public

Language

🇺🇸

English

(39% confidence)

Category

documentation technical

(44%)

Domain Information

The domain name 'www.oncourselearning.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. Count 16 characters in 'oncourselearning' holding seven vowels versus nine consonants. Tokenizing the label suggests three words: on, course, learning. Expect six characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.oncourselearning.com/resources/how-to-become-a-mortgage-loan-officer-in-six-steps

Page Load Overview

0.18s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:39%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:39%
Script Type:Latin
Text Length:139 chars
Detector Agreement:50%

Website Classification

Primary Category

documentation technical44% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
44%
technology software
43%
cryptocurrency blockchain
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
223.45.102.238Germany
0142.251.152.119Germany
0142.251.208.8Germany
0146.75.121.124Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
0142.251.127.94Germany
0130.35.229.170Germany
0142.250.186.42Germany
0104.18.65.57Germany
0162.247.243.39Germany
0104.18.87.42Germany
214--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E2842AD27AE25035662785E5B4BE620D363BF117A500CCE8F8DC45B86FC49E63932B9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:thVDnvg/Xw30+0i+qm86xWgUmj5HyGus9N+9D+5ZXzkA+BeQSNCzpxYF:tbxmw6xWEj5Oo+9D+5ZXzk//jYF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:399158:JAsIMFAFHUEhZEJBJHnTRhiBhSIhBhiIiQIASmYBgYcSJQiwihME5EAJZFAlUYVkBkARYqFJ0EEWGcCAjjqKRsqESgjyooUy

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:ffffffc3c3c1c18f
Perceptual Hash:b9c69e69945887c6
Difference Hash:592c1796171b1b19
Wavelet Hash:bd87bfc38181818f
Color Hash:#d2bc2d

Scan History

Scan history not available

Unable to load historical scan data