Security Scan Report: learn.workflows.okta.com

Redirected to:
https://help.okta.com/wf/en-us/content/topics/workflows/workflows-main...
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Submitted: May 5, 2026, 5:05:12 PMCompleted: May 5, 2026, 5:06:08 PMpubliccompleted
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Summary

This website contacted 12 IPs in 2 countries across 12 domains to perform 107 HTTP transactions. The main domain is help.okta.com and was registered NaN years ago.

Submitted URL: https://learn.workflows.okta.com

Effective URL: https://help.okta.com/wf/en-us/content/topics/workflows/workflows-main.htm?cshid=ext-Okta-workflowsRedirected

The Cisco Umbrella rank of the primary domain is #1,118 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site is a legitimate Okta subdomain with no phishing or malware indicators.

Safety Factors
Established brand and domain reputation
Long registration history
No malicious signals from scans
Cross‑origin form posts to official help.okta.com (legitimate SSO flow)
Domain age information unavailable

Details

Page Title

Okta Workflows | Okta Workflows

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(78%)

Domain Information

The domain name 'learn.workflows.okta.com' uses the commercial generic top-level domain (.com) and includes subdomain 'learn.workflows'. Its registrable label 'okta' stretches across 4 characters split between 2 vowels and 2 consonants. Segmentation suggests two words: ok, ta. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://learn.workflows.okta.com

Page Load Overview

5.60s
Total Load Time
137
HTTP Requests
13
Domains
1.0 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:5,585 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software78% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
78%
cryptocurrency blockchain
57%
government public service
56%
documentation technical
56%
forum community discussion
36%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1634.197.90.238Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
11142.251.110.95United States
AS15169Google LLC
1134.36.213.229Kansas City, Missouri, United States
AS396982Google LLC
11104.18.87.42United States
AS13335Cloudflare, Inc.
1199.83.254.102United States
AS16509Amazon.com, Inc.
1134.107.204.85Kansas City, Missouri, United States
AS396982Google LLC
1135.158.127.51Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
1113.226.244.14United States
AS16509Amazon.com, Inc.
11142.251.127.97United States
AS15169Google LLC
1118.245.31.61United States
AS16509Amazon.com, Inc.
13712--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B143C47269F02433026386D871B1AA099693F15BEB45BD84B2AC03F86FDBDD17C4758E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:I4f3wpYRzurM1Au9vKPei5Vz3uVegbUb+il2R18AqQETp:IYtRaQ1Au9vKPei5Vz3uVeg4bGxY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:56028:JqDBoMAXAACLpICsOU6cqUIKhik4SGktEAESEQkAwoVAAmGswiRiIRgQsgAkPgSJsVQAwjAMSAxAm0ABjgEIHioAQGOMOUOF

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:7f9f838383c282ff
Perceptual Hash:bd8296558a75e32a
Difference Hash:b8222aaa2b2a2a2b
Wavelet Hash:7f1f038b038282ff
Color Hash:#aad279

Other Hashes

Crop Resistant:b8222aaa2b2a2a2b

Scan History

Scan history not available

Unable to load historical scan data