Summary
API
This website contacted 3 IPs in 2 countries across 30 domains to perform 113 HTTP transactions. The main domain is mongodb.com and was registered 18 years ago.
Submitted URL: https://realm.io
Effective URL:
The Cisco Umbrella rank of the primary domain is #886,825 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 94%
The site is a legitimate MongoDB documentation page with no malicious indicators.
Safety Factors
Details
Page Title
Atlas Device SDKs Deprecation - Atlas Device SDKs - MongoDB Docs
Scan Type
public
Domain Name Analysis
Within the British Indian Ocean Territory country-code top-level domain (.io), 'realm.io' is registered while skipping any subdomain. The registrable portion 'realm' spans 5 characters split between 2 vowels and three consonants. Tokenizing the label suggests 1 word: realm. 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 |
|---|---|---|---|
| 39 | 108.138.7.2Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 37 | 3.167.227.27Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 37 | 146.75.122.208Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 113 | 3 | - | - |
Detected Technologies3
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