Summary
This website contacted 1 IP in 1 country across 1 domain to perform 51 HTTP transactions. The main domain is workiva.jamfcloud.com and was registered NaN years ago.
Submitted URL: https://workiva.jamfcloud.com
Effective URL: https://workiva.jamfcloud.com/view/sso/login?original_url=aHR0cHM6Ly93b3JraXZhLmphbWZjbG91ZC5jb20vRedirected
The Cisco Umbrella rank of the primary domain is #1,654 of the top 1 million websitesTop 10K Site
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate Jamf Pro login page; no threats detected.
Safety Factors
Details
Page Title
Jamf Pro Login
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
Domain 'workiva.jamfcloud.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'workiva'. Count 9 characters in 'jamfcloud' containing three vowels alongside 6 consonants. Segmentation suggests 3 words: jam, f, cloud. The median word length lands at three 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 |
|---|---|---|---|
| 49 | 3.18.84.227 | Columbus, Ohio, United States | AS16509Amazon.com, Inc. |
| 49 | 1 | - | - |
Detected Technologies1
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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