Security Scan Report: oksanabaiul.com

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Submitted: Jan 5, 2026, 10:50:51 PMCompleted: Jan 5, 2026, 10:52:06 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 102 HTTP transactions. The main domain is oksanabaiul.com and was registered NaN years ago.

Submitted URL: https://oksanabaiul.com/

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Site appears legitimate with no notable security concerns.

Safety Factors
Well‑established domain with long registration history
No payment or sensitive financial fields present
No external domains or links detected
No noindex meta tags indicating hidden content
Domain age information unavailable

Details

Page Title

Oksana Baiul

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(40%)

Domain Information

Domain 'oksanabaiul.com' uses the commercial generic top-level domain (.com) and has no subdomain. The registrable portion 'oksanabaiul' spans 11 characters holding 6 vowels versus 5 consonants. Breaking it apart gives 2 words: oksana, baiul. Median word length is 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://oksanabaiul.com/

Page Load Overview

6.63s
Total Load Time
105
HTTP Requests
2
Domains
2.3 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:11,633 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog40% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
40%

Detected Features

Login Form
Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5377.83.173.23Dronten, Flevoland, Netherlands
AS204601Zomro B.V.
52104.17.25.14United States
AS13335CLOUDFLARENET
1052--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18F443AA3946C1C7B876782CA60887B99B587942BCA89C0D4F6FAE37C93C1DD1317350E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ZXKTC0/yn04+41kCTkakY3kDkZ3yjwkr9VnQMxYVQopQzE2TRvTfnZn7YZSkMWTX:WCUrkXDZ1c9mVQopaTRvTfSfp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:264352:YAiIwQBIXMIKJEANEABJAPOxdAQkARAOlAGiQEmCwTY7SkEEoBglEu4AgAikKiKhQEmbRNgDZU5QEIsQUYjAEUmBGhAksgTG

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

Average Hash:00ffffdfdf9f0f0f
Perceptual Hash:b8c4374c381fe21f
Difference Hash:8c2900b4b1317b1b
Wavelet Hash:00c7ffdf9d990901
Color Hash:#87a9c5

Scan History

Scan history not available

Unable to load historical scan data