ScanMalware.com

Security Scan Report: bizmailer.co.kr

Submitted: Oct 16, 2025, 10:37:57 PMCompleted: Oct 16, 2025, 10:38:57 PMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 2 domains to perform 7 HTTP transactions. The main domain is bizmailer.co.kr and was registered NaN years ago.

Submitted URL: http://bizmailer.co.kr/bizsmart/action/openCheck.do?method=deny&sn=9&mk=1673934276689RLNmwSM&lk=1760600375133&sk=9_1760600375133_17606003884911035513_16741813868866xc3o3z&ck=17606003884911035513&dk=16741813868866xc3o3z&[email protected]&dd=Y

AI Security Verdict

Safe Website

Confidence: 92%

2
Risk Score

Legitimate page with minor redirect oddity; no phishing or malware signs

Risk Factors
Circular redirect detected (potential URL manipulation)
Safety Factors
Long-established domain (registered 2007)
No malicious Indicators of Compromise
No sensitive data collection forms
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

healthcare medical

(72%)

Domain Information

You're looking at domain 'bizmailer.co.kr' on the South Korean country-code top-level domain (.co.kr). Count 9 characters in 'bizmailer' holding 4 vowels versus five consonants. Splitting it apart reveals 2 words: biz, mailer. Expect 4.5 characters per word on average. 'biz' most often appears in English. It also appears in French and Malay contexts.

Screenshot

Security scan screenshot of http://bizmailer.co.kr/bizsmart/action/openCheck.do?method=deny&sn=9&mk=1673934276689RLNmwSM&lk=1760600375133&sk=9_1760600375133_17606003884911035513_16741813868866xc3o3z&ck=17606003884911035513&dk=16741813868866xc3o3z&ce=spider@download11.com&dd=Y

Page Load Overview

31.71s
Total Load Time
7
HTTP Requests
2
Domains
84 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:67 chars
Detector Agreement:50%

All Detected Languages

🇺🇸en(97%)🇰🇷ko(3%)

Website Classification

Primary Category

healthcare medical72% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
72%
corporate business
58%
government public service
56%
news media journalism
52%
adult content
49%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
0151.101.194.137San Francisco, California, United States
AS54113FASTLY
027.102.214.164South Korea
AS45996DAOU TECHNOLOGY
0151.101.130.137San Francisco, California, United States
AS54113FASTLY
02a04:4e42:600::649United States
AS54113FASTLY
02a04:4e42::649United States
AS54113FASTLY
0151.101.2.137San Francisco, California, United States
AS54113FASTLY
0151.101.66.137San Francisco, California, United States
AS54113FASTLY
02a04:4e42:200::649United States
AS54113FASTLY
02a04:4e42:400::649United States
AS54113FASTLY
79--

Detected Technologies2

JQueryv1.10.2
100%
jQuery CDN
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18AA1B820FB498C3554332539AF20FA48B03D49B3A6464C69F9DF6439EEEC9481332B54

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:x88NtLRFXqQlNiUaS8DAyXuz7UsC2XCIzo4ZNT:xN6QbeAyXps7C2ZT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4784:AghBBgME0GUOlqgAAIAMwFKFRAAESCDBgOQgEUgECEGAIgAFAAAAAKEAQACBAgAAgACgBwC+AIwEhCwGAKDLGA0AAAAREYAl

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:ffffe7c3c3e7ffff
Perceptual Hash:b1c6ce3931c66639
Difference Hash:00000c0e1e0c0000
Wavelet Hash:fcfcc0c0c0c0fcfc
Color Hash:#c1e06c

Other Hashes

Crop Resistant:00000c0e1e0c0000

Scan History

Scan history not available

Unable to load historical scan data