Security Scan Report: nsk-basket-cdn-03.geobasket.ru

Submitted: Feb 4, 2026, 11:34:42 AMCompleted: Feb 4, 2026, 11:36:28 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is nsk-basket-cdn-03.geobasket.ru and was registered NaN years ago.

Submitted URL: https://nsk-basket-cdn-03.geobasket.ru

The Cisco Umbrella rank of the primary domain is #94,491 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Well‑established domain (>2 years)
High Cisco Umbrella ranking
Absence of malicious Indicators of Compromise
No login or payment forms
No malicious JavaScript detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'nsk-basket-cdn-03.geobasket.ru' on the Russian country-code top-level domain (.ru); it also runs on subdomain 'nsk-basket-cdn-03'. The second-level label 'geobasket' is 9 characters long split between four vowels and five consonants. Breaking it apart gives two words: geo, basket. Median word length is 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nsk-basket-cdn-03.geobasket.ru

Page Load Overview

2.50s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:9 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2176.101.92.137Russia
AS201512LLC Wildberries
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CDC080BAC011450D5B3025F4C98274545E44520DC1225F5079D0D194E44496784432DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BQhBbZ6i83PvXE11YIIPvdHYSR5/v4Ab0qa:qzxV/5VHHoB96D3ne1k9YS//vJ8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:b3b0da6ab101f3a5ee82505797d63275

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:7fffffffffffffff
Perceptual Hash:83070707070f1fff
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#8fd279

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data