Security Scan Report: www.my.froedtert.com

Redirected to:
https://id.my.froedtert.com/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 18 IPs in 1 country across 14 domains to perform 44 HTTP transactions. The main domain is froedtert.com and was registered 30 years ago.

Submitted URL: https://www.my.froedtert.com

Effective URL:
https://id.my.froedtert.com/
Redirected

The Cisco Umbrella rank of the primary domain is #123,621 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Official Froedtert & MCW patient portal login page on the legitimate my.froedtert.com domain, with no phishing or malware indicators.

Safety Factors (5)
Established domain (30 years old) with legitimate business indicators.
Self-branding: page presents Froedtert & MCW, matching the official domain.
Cross-origin form submission is a legitimate SSO flow to a subdomain of the same organization.
No forms besides the standard login form for the site's own service.
No malicious network or behavioral indicators.
Domain age information unavailable

Details

Page Title

Froedtert & MCW - Sign In

Scan Type

public

Domain Name Analysis

The domain name 'www.my.froedtert.com' uses the commercial generic top-level domain (.com) with subdomain 'www.my'. Its registrable label 'froedtert' stretches across 9 characters holding 3 vowels versus 6 consonants. It segments into 3 words: fr, oed, tert. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.my.froedtert.com

Page Load Overview

6.95s
Total Load Time
1.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:920 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software81% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
81%
finance banking
80%
healthcare medical
78%
government public service
53%
documentation technical
37%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10192.227.60.63Milwaukee, Wisconsin, United States
AS36600Froedtert Memorial Lutheran Hospital, Inc.
23.15.167.135Aws · CLOUDColumbus, Ohio, United States
AS16509Amazon.com, Inc.
23.15.167.137Aws · CLOUDColumbus, Ohio, United States
AS16509Amazon.com, Inc.
2104.18.1.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2192.178.183.95Google · CDNUnited States
AS15169Google LLC
2172.66.40.94Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
23.170.42.83Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
23.170.42.17Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
266.33.60.34Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
23.170.42.112Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4418--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19E048E773296063989558498F05B43099F21B143F50AC8BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:i/Qho9PKBbl8Vrq9Jzbs6tlg1ySBKw4Q9gcoIsP+2bMy8Old5:DhoCl8Bqzzbs6okSCggcpsW2eAD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:185356:aroCqBOgSVJAN1AGIYCCsERgQQ6QJ0AjxgCEAKYIYBCQF5whihyBEOGICkCBIwxIpCw8DZtMN9QGBVQB4IOkhA6gDEIoRWCA

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc663333
Difference Hash:00181c1800000000
Wavelet Hash:3f1f030f00000000
Color Hash:#d2692d

Other Hashes

Crop Resistant:00181c1800000000

Scan History

Scan history not available

Unable to load historical scan data