Security Scan Report: bartlettreghosp-sso.prd.mykronos.com

Redirected to:
https://welcome-us.ukg.net/u/login?state=hqFo2SB3Ty13TzVNR19xdFlFM2Z1N...
Site favicon
Submitted: Sep 17, 2026, 5:47:24 PMCompleted: Sep 17, 2026, 5:47:43 PMpubliccompleted

This website contacted 7 IPs in 1 country across 6 domains to perform 8 HTTP transactions. The main domain is welcome-us.ukg.net and was registered 26 years ago.

Submitted URL: https://bartlettreghosp-sso.prd.mykronos.com

Effective URL:

https://welcome-us.ukg.net/u/login?state=hqFo2SB3Ty13TzVNR19xdFlFM2Z1N...
Redirected

The Cisco Umbrella rank of the primary domain is #5,488 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Legitimate UKG/Kronos Auth0 single sign-on page for Bartlett Regional Hospital; the mykronos.com→ukg.net redirect is a standard corporate SSO flow with no phishing, malware, or exfiltration indicators.

Safety Factors
Final login page is served from ukg.net, the official domain of the UKG (Kronos) workforce-management vendor
Auth0-style login page with standard 'Forgot password/username' and SSO button for a named enterprise customer (Bartlett Regional Hospital)
No credential exfiltration detected; form posts only to the official SSO domain
No IoC, YARA, IDS or Safe Browsing matches
Domain age information unavailable

Details

Page Title

UKG | Sign in

Scan Type

public

Domain Name Analysis

The domain name 'bartlettreghosp-sso.prd.mykronos.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'bartlettreghosp-sso.prd'. The core label 'mykronos' covers 8 characters containing 2 vowels alongside 6 consonants. Splitting it apart reveals 2 words: my, kronos. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bartlettreghosp-sso.prd.mykronos.com

Page Load Overview

1.50s
Total Load Time
163 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:628 chars
Detector Agreement:100%

Website Classification

Primary Category

gambling betting42% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

gambling betting
42%
adult content
41%
news media journalism
41%
finance banking
38%
government public service
36%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
234.117.56.83Google · CDNKansas City, Missouri, United States
AS396982Google LLC
134.36.23.21Google · CDNKansas City, Missouri, United States
AS396982Google LLC
118.64.195.35Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
134.160.72.244Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1142.251.14.94Google · CDNUnited States
AS15169Google LLC
1104.18.35.166Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.64.152.90Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
87--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CCE12F4B21B3322675332E2A37DFA69B3334C00B4519FE587DCD9518CF882662D66B9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:qx17x6/2LCMZebjYZn9ZGdUTI9cXxzFSJmSZsX:qxC/2JNZtX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7215:QgkAwgCjCADoCAApgATgRAiQD4MhyoOIE4AwCYXRAsBSE9AgrQQscDEUspKAiIAJaJYAAKaFkYAaAJbBRpkRWBMYUGBI0IYQ

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:0018181818181800
Perceptual Hash:9999666666c96666
Difference Hash:04b2b2b2b2b2b20c
Wavelet Hash:001818181c1c1800
Color Hash:#8fd279

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data