Summary
This website contacted 36 IPs in 3 countries across 7 domains to perform 47 HTTP transactions. The main domain is investors.duolingo.com and was registered NaN years ago.
Submitted URL: http://investors.duolingo.com/investor-relations
Effective URL: https://investors.duolingo.com/investor-relationsRedirected
AI Security Verdict
Details
Page Title
Access Denied
Scan Type
public
Language
English
Category
corporate
(50%)Domain Information
Domain 'investors.duolingo.com' uses the commercial generic top-level domain (.com), featuring subdomain 'investors'. The second-level label 'duolingo' is 8 characters long with four vowels and 4 consonants. Breaking it apart gives 2 words: duo, lingo. The median word length lands at four characters. 'duo' most often appears in English. It also appears in Malay and Chinese (Pinyin) contexts.
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 |
|---|---|---|---|
| 12 | 18.224.253.80 | Columbus, Ohio, United States | AS16509AMAZON-02 |
| 1 | 3.143.38.39 | Columbus, Ohio, United States | AS16509AMAZON-02 |
| 1 | 23.36.162.214 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 63.140.62.120 | United States | AS16509AMAZON-02 |
| 1 | 151.101.66.137 | San Francisco, California, United States | AS54113FASTLY |
| 1 | 172.64.147.188 | United States | AS13335CLOUDFLARENET |
| 1 | 108.128.20.85 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 1 | 23.36.162.211 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 23.35.236.237 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 52.214.146.225 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 47 | 36 | - | - |
Detected Technologies9
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
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