Security Scan Report: liveandworkwell.com

Redirected to:
https://www.liveandworkwell.com/en/public
Site favicon
Submitted: Sep 28, 2026, 6:09:36 PMCompleted: Sep 28, 2026, 6:10:23 PMpubliccompleted

This website contacted 13 IPs in 3 countries across 11 domains to perform 111 HTTP transactions. The main domain is liveandworkwell.com and was registered 26 years ago.

Submitted URL: https://liveandworkwell.com

Effective URL:

https://www.liveandworkwell.com/en/public
Redirected

The Cisco Umbrella rank of the primary domain is #271,991 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Established, self-branded healthcare site for Optum's Live and Work Well. No forms, impersonation, or threat-intelligence hits. Safe to use.

Safety Factors (5)
Established domain registered in 2000
Self-branding with matching title/meta and domain
No forms collecting credentials or payment data
No malicious or suspicious network indicators
Legitimate healthcare resources and crisis support content
Domain age information unavailable

Details

Page Title

Behavioral Health, EAP, WorkLife & Mental Health Services | Live and Work Well

Scan Type

public

Domain Name Analysis

The domain name 'liveandworkwell.com' uses the commercial generic top-level domain (.com). Its registrable label 'liveandworkwell' stretches across 15 characters holding five vowels versus 10 consonants. Breaking it apart gives 4 words: live, and, work, well. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://liveandworkwell.com

Page Load Overview

13.40s
Total Load Time
1.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:2,712 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical27% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
27%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15149.111.148.242United States
AS10879Unitedhealthcare
82.23.245.90Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
8146.75.123.10Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
823.52.181.12Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
818.202.37.155Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
813.33.217.187Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
852.214.43.103Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
83.233.158.111Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
83.233.158.112Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
83.233.158.114Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
11113--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CCE3C82EF301E815AAA78C46713F7F37900DC53ACABDD83C91ADCA3A06C647D4BA5951

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:qEKRu77qcb6UwJXXXFw+P1iJKWDmYdpPBPXJ1UAqnz+LzHYi:FwVo1PqneYi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:149571:QhsTISYiARJgqAwQGF4EnUAFUMSDsCATRMBEAQFAQFD/xIDMAmOMDYLIABoOEwiMCkJQOjnU2YRmCEFMQAI0whA5LBCkCCJB

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:00809100c3e7ffff
Perceptual Hash:be1c99e341c9a69c
Difference Hash:983a2aa10e0c0004
Wavelet Hash:00800800e7ffffff
Color Hash:#e0ac6c

Other Hashes

Crop Resistant:983a2aa10e0c0004

Scan History

Scan history not available

Unable to load historical scan data