Security Scan Report: bayada.okta.com

Redirected to:
https://bayada.okta.com/oauth2/v1/authorize?client_id=okta.2b1959c8-bc...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 9 IPs in 1 country across 3 domains to perform 34 HTTP transactions. The main domain is okta.com and was registered 22 years ago.

Submitted URL: https://bayada.okta.com

Effective URL:
https://bayada.okta.com/oauth2/v1/authorize?client_id=okta.2b1959c8-bc...
Redirected

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: 98%

0
Risk Score

Official BAYADA Home Health Care Okta sign-in page on an established Okta subdomain; no phishing, malware, or impersonation indicators found.

Safety Factors (4)
Established domain (22 years old) with top-10K Cisco Umbrella ranking.
Self-branding matches the domain and appears to be the organization's legitimate Okta sign-in portal.
No malicious JavaScript behavior, no credential exfiltration, and no threat-intelligence matches.
Clear link to official BAYADA help page (https://www.bayada.com/login.asp).
Domain age information unavailable

Details

Page Title

BAYADA Home Health Care - Sign In

Scan Type

public

Domain Name Analysis

Domain 'bayada.okta.com' uses the commercial generic top-level domain (.com), featuring subdomain 'bayada'. The registrable portion 'okta' spans 4 characters containing 2 vowels alongside two consonants. Segmentation suggests 2 words: ok, ta. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bayada.okta.com

Page Load Overview

4.64s
Total Load Time
2.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:495 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical65% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
65%
technology software
58%
documentation technical
55%
government public service
45%
adult content
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
103.15.36.227Aws · CLOUDColumbus, Ohio, United States
AS16509Amazon.com, Inc.
33.170.42.112Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
33.15.36.225Aws · CLOUDColumbus, Ohio, United States
AS16509Amazon.com, Inc.
33.170.42.83Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
33.15.36.226Aws · CLOUDColumbus, Ohio, United States
AS16509Amazon.com, Inc.
33.170.42.17Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
33.170.42.39Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3108.138.7.85Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3108.138.7.41Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
349--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T158B1C472DC03480CA931858F5A7EBA526241A2179E25F98431ED1EA84FCDBCF9C73078

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TBU0UDv+UvZRFMNsnRNqPPVjKTKTUiJe7Lg8uX8DVQYPVQTipgxeu/CQJrrlFqlA:VU0UDvFvZRFMNSqQTYRW6d+pgxZ/JJrZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5311:Qg+AUCQgBAHKSBQAQFQiAAcgQOxEAAMnQCAKICksEQAQACQBMIhIEAQCApSIQGIGAAKBBAAEMwQWDDFIRAgJnJEoBCA4BIIL

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:c000c0c0c0c0c0c0
Perceptual Hash:fe010000fcfcfcfc
Difference Hash:2080202020202020
Wavelet Hash:c0c0c0c0f0f0f0f0
Color Hash:#e06c6c

Other Hashes

Crop Resistant:2080202020202020

Scan History

Scan history not available

Unable to load historical scan data