Security Scan Report: thekmeal.com

Submitted: Dec 21, 2025, 7:59:14 AMCompleted: Dec 21, 2025, 8:03:25 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 5 domains to perform 99 HTTP transactions. The main domain is thekmeal.com and was registered NaN years ago.

Submitted URL: https://thekmeal.com/actor-spotlight-kim-woo-bin/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No suspicious forms or content
Domain age information unavailable

Details

Page Title

Actor Spotlight: Kim Woo-bin - TheKMeal

Scan Type

public

Language

🇧🇩

BN

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain 'thekmeal.com' uses the commercial generic top-level domain (.com). The registrable portion 'thekmeal' spans 8 characters split between 3 vowels and 5 consonants. It segments into 3 words: the, k, meal. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://thekmeal.com/actor-spotlight-kim-woo-bin/

Page Load Overview

247.67s
Total Load Time
99
HTTP Requests
5
Domains
N/A
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:50%
Script Type:Unknown
Text Length:10,000 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: unknown
Method: ML-based

All Detected Categories

No categories detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16216.58.209.168United States
AS15169GOOGLE
1692.113.23.33Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
1692.113.16.4Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
16216.58.210.162United States
AS15169GOOGLE
16216.58.209.202United States
AS15169GOOGLE
16192.0.76.3San Francisco, California, United States
AS2635AUTOMATTIC
996--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T127443B7370543437A96711D9B0A9370AB216D259CA47C9DAFBBCA118A7C6CF2BD7320C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:NbJ1kMvEU8kUUO5GCvKS3ZwzfUXGBopUasM4T3c494Ar5BAuz5kgiEWTxVG22:5d/rr5Kq5WEWp2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:273838:L4DCZpVlBYQGBbAlZQCapAQYIKwQuASTFYaLEhULAIoAcwwgAMYpFj0EhQNNgCFoQRJo0yA0gxxAgc16ygoAjYpiC4oINkmp

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:ffc1c3c3c3c1fdff
Perceptual Hash:f235cacbc5cc3630
Difference Hash:4a1b0f0f0e0f3129
Wavelet Hash:ef8181838381ddfd
Color Hash:#d2932d

Scan History

Scan history not available

Unable to load historical scan data