Security Scan Report: weolbu.com

Submitted: Jan 20, 2026, 3:29:25 AMCompleted: Jan 20, 2026, 3:31:13 AMpubliccompleted
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Summary

This website contacted 23 IPs in 6 countries across 24 domains to perform 219 HTTP transactions. The main domain is weolbu.com and was registered NaN years ago.

Submitted URL: https://weolbu.com

AI Security Verdict

Low Risk

Confidence: 85%

3
Risk Score

Low risk site; external link flagged as suspicious.

Risk Factors
External link to malicious domain t1.daumcdn.net flagged as PUA
Safety Factors
Domain age >5 years (well‑established)
No credential or payment forms present
No malicious Indicators of Compromise on primary domain
Domain age information unavailable

Details

Page Title

당신이 부자가 되는 곳! 월급쟁이부자들

Scan Type

public

Language

🇰🇷

Korean

(80% confidence)

Category

real estate property

(98%)

Domain Information

Domain 'weolbu.com' uses the commercial generic top-level domain (.com) with no subdomain. Count 6 characters in 'weolbu' holding 3 vowels versus three consonants. Tokenizing the label suggests three words: we, ol, bu. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://weolbu.com

Page Load Overview

12.10s
Total Load Time
259
HTTP Requests
40
Domains
5.8 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:7,141 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property98% confidence
Type: static
Method: ml+structural

All Detected Categories

real estate property
98%
blog personal website
71%
education learning
57%
finance banking
44%
e-commerce shopping
43%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17211.183.212.21Singapore
1123.32.238.105Germany
1152.78.6.222Incheon, Incheon, South Korea
AS16509AMAZON-02
1134.160.81.0Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1113.226.244.116United States
AS16509AMAZON-02
1154.180.192.66Incheon, Incheon, South Korea
AS16509AMAZON-02
11172.64.147.30United States
AS13335CLOUDFLARENET
1199.84.152.94United States
AS16509AMAZON-02
1152.222.136.52United States
AS16509AMAZON-02
11121.53.220.121South Korea
AS18160Kakao Corp
25923--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F445D87AE401FD0DAC47DE9D743ABF6E618EA23FCA5189E4B6DDCA5106824734B436C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:9g//dR2wd7qDdSdBMjod5dOdUdSRdGdZXd//d7dedgzpE6doMdftOdNdvd7dtzkL:2HmfNA/EZrizdMfnu48AxVX0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1196228:MeUaoNbIkgZWlEh8lIKQKaIBic5BGolDEBMSBhQRFeSBsMuAgABGCgAVKBCYAlAGCEgFMBGAz2JJB0INm2ANrCCA/CiAYUsF

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:ffc3c3c3ffff81ff
Perceptual Hash:f1309b8b8e6d968c
Difference Hash:171f1616330b0b2a
Wavelet Hash:ffc08080ffe781c3
Color Hash:#c59b87

Scan History

Scan history not available

Unable to load historical scan data