Summary
This website contacted 103 IPs in 5 countries across 39 domains to perform 211 HTTP transactions. The main domain is oktopost.com and was registered NaN years ago.
Submitted URL: https://okt.to/
Effective URL: https://www.oktopost.com/Redirected
The Cisco Umbrella rank of the primary domain is #40,749 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Page Title
B2B Social Media Management Platform | Oktopost
Scan Type
public
Language
English
Category
corporate
(70%)Domain Information
Within the .to country-code top-level domain, 'okt.to' is registered without a subdomain. Count 3 characters in 'okt' split between one vowel and 2 consonants. Splitting it apart reveals two words: ok, t. The median word length lands at 1.5 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 |
|---|---|---|---|
| 73 | 52.222.236.53 | United States | AS16509AMAZON-02 |
| 54 | 3.232.205.149 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 7 | 23.50.131.138 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 7 | 150.171.22.12 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 6 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 5 | 216.239.34.36 | United States | AS15169GOOGLE |
| 5 | 142.250.186.136 | United States | AS15169GOOGLE |
| 4 | 150.171.28.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 104.16.117.43 | United States | AS13335CLOUDFLARENET |
| 3 | 2.18.64.220 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 211 | 103 | - | - |
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
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