Summary
This website contacted 6 IPs in 2 countries across 5 domains to perform 44 HTTP transactions. The main domain is openssl-corporation.org and was registered NaN years ago.
Submitted URL: https://openssl-corporation.org?mptk=55332fa20b5a5ffce3cd69303dec6b1628de8ff57d4d4f4fb9635b16118432884349e6b6c2eab0209357dd2ff5117e0f_fb130e404b7f5912c96650f19ec68e9c
Effective URL: https://openssl-corporation.org/?mptk=55332fa20b5a5ffce3cd69303dec6b1628de8ff57d4d4f4fb9635b16118432884349e6b6c2eab0209357dd2ff5117e0f_fb130e404b7f5912c96650f19ec68e9cRedirected
AI Security Verdict
High Risk
Confidence: 78%
Site impersonates OpenSSL brand on an unranked domain; treat as high‑risk phishing.
Risk Factors
Details
Page Title
OpenSSL Corporation
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
Domain 'openssl-corporation.org' uses the non-profit oriented generic top-level domain (.org). Its registrable label 'openssl-corporation' stretches across 19 characters containing seven vowels alongside eleven consonants; it also includes 1 hyphen. Word splitting yields 2 words: openssl, corporation. Median word length is nine 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 |
|---|---|---|---|
| 9 | 34.49.79.89 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 7 | 104.18.19.62 | United States | AS13335CLOUDFLARENET |
| 7 | 159.65.213.219 | Slough, England, United Kingdom | AS14061DIGITALOCEAN-ASN |
| 7 | 104.18.18.62 | United States | AS13335CLOUDFLARENET |
| 7 | 104.20.23.25 | United States | AS13335CLOUDFLARENET |
| 7 | 18.66.92.18 | United States | AS16509AMAZON-02 |
| 44 | 6 | - | - |
Detected Technologies7
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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