Security Scan Report: fcseoul.com

Redirected to: https://www.fcseoul.com/

Submitted: Jan 13, 2026, 12:26:39 PMCompleted: Jan 13, 2026, 12:28:26 PMpubliccompleted
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Summary

This website contacted 14 IPs in 3 countries across 15 domains to perform 177 HTTP transactions. The main domain is fcseoul.com and was registered NaN years ago.

Submitted URL: https://fcseoul.com

Effective URL: https://www.fcseoul.com/Redirected

The Cisco Umbrella rank of the primary domain is #246,086 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration
Absence of phishing or malware indicators
No collection of sensitive data
Domain age information unavailable

Details

Page Title

FC SEOUL

Scan Type

public

Language

🇰🇷

Korean

(80% confidence)

Category

download file sharing

(56%)

Domain Information

The domain 'fcseoul.com' uses the commercial generic top-level domain (.com) without a subdomain. The core label 'fcseoul' covers 7 characters split between three vowels and four consonants. Segmentation suggests 2 words: fc, seoul. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fcseoul.com

Page Load Overview

11.62s
Total Load Time
219
HTTP Requests
17
Domains
17.6 MB
Total Size

Language Analysis

Primary Language

🇰🇷Korean
Code: ko
Confidence:80%
Script:Hangul
Direction:ltr

Detection Details

Language Code:ko
Detection Confidence:80%
Script Type:Hangul
HTML Lang Attribute:ko
Text Length:4,708 chars
Detector Agreement:67%

Website Classification

Primary Category

download file sharing56% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

download file sharing
56%
government public service
45%
entertainment media
43%
adult content
41%
news media journalism
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
24142.251.208.22Japan
1534.120.195.249Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1552.222.136.89South Korea
1554.192.35.21United States
AS16509AMAZON-02
15142.250.184.202United States
AS15169GOOGLE
1531.13.82.52Tokyo, Tokyo, Japan
AS32934FACEBOOK
1552.219.144.39Incheon, Incheon, South Korea
AS16509AMAZON-02
1552.79.170.141Incheon, Incheon, South Korea
AS16509AMAZON-02
1557.144.44.192Tokyo, Tokyo, Japan
AS32934FACEBOOK
15157.240.31.63Tokyo, Tokyo, Japan
AS32934FACEBOOK
21914--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EBA3E96166EE08730133718EBD311B1D9DAB4937E90A5E06F2BF0A4A7FC6E02485765F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:VTmEbQcoa98POxSmiGOCL68OkP9fdCFIP7nvtFkYtMrn:1ZQcX8POsmvOCLfOkHAuS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:99108:0QWiRVDIDpCSFCyhABIEmtUWRF0iBUOE65IRmQj0pABAkDwMQiRaBhEDbAjoxPggACECkrI5cIcJRAOi0FVkISk4ihEqCrCI

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:00003fffff7f0000
Perceptual Hash:81956e42b58f95bc
Difference Hash:e4d5bade9ed0d531
Wavelet Hash:3000ff7fff7f0000
Color Hash:#35d22d

Scan History

Scan history not available

Unable to load historical scan data