Security Scan Report: between-uploader.vcnc.co.kr

Submitted: Jan 5, 2026, 4:13:57 PMCompleted: Jan 5, 2026, 4:16:01 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is between-uploader.vcnc.co.kr and was registered NaN years ago.

Submitted URL: https://between-uploader.vcnc.co.kr

The Cisco Umbrella rank of the primary domain is #329,557 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Long‑standing domain registration
Absence of suspicious forms or content
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(68% confidence)

Category

news media journalism

(49%)

Domain Information

Within the South Korean country-code top-level domain (.co.kr), 'between-uploader.vcnc.co.kr' is registered; it also runs on subdomain 'between-uploader'. Its registrable label 'vcnc' stretches across 4 characters with 0 vowels and 4 consonants. Splitting it apart reveals 2 words: vc, nc. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://between-uploader.vcnc.co.kr

Page Load Overview

34.38s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:68%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:68%
Script Type:Latin
Text Length:85 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism49% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
49%
government public service
40%
healthcare medical
38%
cryptocurrency blockchain
37%
documentation technical
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
113.124.66.248South Korea
03.34.17.136Incheon, Incheon, South Korea
AS16509AMAZON-02
12--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E1D09572C0700537673319DC6C42B10C1FC4B289D0311C427488D264CCC7D0BCC03384

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHQYk/B96C9jgRohtZ9zRNdxELa:kxV7HfC9T997xELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:7d83ecad7379abb4f08d83958c42c4a9

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:00ffffffffffffff
Perceptual Hash:8e1e1e1e1e1e1e1e
Difference Hash:f000000000000000
Wavelet Hash:00fff0f0f0f0f0f0
Color Hash:#5740bf

Other Hashes

Crop Resistant:f000000000000000

Scan History

Scan history not available

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