Summary
This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is sso.tandemdiabetes.com and was registered NaN years ago.
Submitted URL: https://source.tandemdiabetes.com
Effective URL: https://sso.tandemdiabetes.com/?ReturnUrl=https%3A%2F%2Ftdcservices.tandemdiabetes.com%2Faccounts%2Fapi%2Fconnect%2Fauthorize%2Fcallback%3Fclient_id%3D0oa4wnbvtladeyVZX4h7%26code_challenge%3Dsk__zQzolkUwDpctIDFZxszZOBQzpIsryJ489JULShE%26code_challenge_method%3DS256%26nonce%3DF60iMYk7hqBOpQ2G7z1C0%26redirect_uri%3Dhttps%253A%252F%252Fsource.tandemdiabetes.com%252Fauthorize%252Fcallback%26response_mode%3Dquery%26response_type%3Dcode%26scope%3Dopenid%2520email%2520profile%2520tandem.devices.assign%26state%3DaZyTqpow3qh4OaU2MfefqRedirected
The Cisco Umbrella rank of the primary domain is #60,625 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 94%
The site shows no malicious indicators and appears to be a legitimate Tandem SSO page.
Safety Factors
Details
Page Title
Tandem Source
Scan Type
public
Language
English
Category
healthcare medical
(74%)Domain Information
Domain 'source.tandemdiabetes.com' uses the commercial generic top-level domain (.com) and includes subdomain 'source'. The registrable portion 'tandemdiabetes' spans 14 characters with 6 vowels and eight consonants. It segments into two words: tandem, diabetes. Median word length comes out to seven characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 41 | 150.171.110.114Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 41 | 1 | - | - |
Page Statistics
Detected Technologies5
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data