Summary
This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is lb-2.us-east-2.aws.waas-online.net and was registered NaN years ago.
Submitted URL: https://lb-2.us-east-2.aws.waas-online.net
The Cisco Umbrella rank of the primary domain is #103,032 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 99%
AI analysis skipped: HTTP 502 error page with no meaningful content to analyze.
Safety Factors
Details
Page Title
lb-2.us-east-2.aws.waas-online.net
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
Within the network infrastructure generic top-level domain (.net), 'lb-2.us-east-2.aws.waas-online.net' is registered; it also runs on subdomain 'lb-2.us-east-2.aws'. The second-level label 'waas-online' is 11 characters long with five vowels and five consonants, notching 1 hyphen. Splitting it apart reveals 3 words: wa, as, online. Average segment length settles at 2 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 |
|---|---|---|---|
| 2 | 3.139.151.63 | Columbus, Ohio, United States | AS16509Amazon.com, Inc. |
| 2 | 1 | - | - |
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