ScanMalware.com

Security Scan Report: old3.caterpillar-magyarorszag.com

Redirected to: https://tonghrencomics.net/for_k/girls/kr_RJ01491620_e8/?utm_source=tenyi&utm_medium=display&utm_campaign=mangaR_ovs_te&utm_content=girls_kr_RJ01491620_e8

Submitted: Mar 22, 2026, 3:34:15 PMCompleted: Mar 22, 2026, 3:35:35 PMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is tonghrencomics.net and was registered NaN years ago.

Submitted URL: https://old3.caterpillar-magyarorszag.com

Effective URL: https://tonghrencomics.net/for_k/girls/kr_RJ01491620_e8/?utm_source=tenyi&utm_medium=display&utm_campaign=mangaR_ovs_te&utm_content=girls_kr_RJ01491620_e8Redirected

AI Security Verdict

Moderate Risk

Confidence: 85%

6
Risk Score

Site shows signs of malicious activity (large POST exfiltration, many redirects) despite no forms; treat as high‑risk malware distribution.

Risk Factors
Critical network IDS alert indicating possible data exfiltration
Multiple redirects (7) which can be used to obscure malicious activity
Unranked domain with low reputation
Safety Factors
No forms or credential collection on the page
No malicious Indicators of Compromise matches in threat intelligence databases
No JavaScript malware patterns detected by YARA
Domain age is 1017 days (well‑established)
Standard hosting (not IPFS or cloud storage)
Domain age information unavailable

Details

Page Title

Redirecting...

Scan Type

public

Language

🇰🇷

Korean

(80% confidence)

Category

finance banking

(100%)

Domain Information

Within the commercial generic top-level domain (.com), 'old3.caterpillar-magyarorszag.com' is registered; it also runs on subdomain 'old3'. Its registrable label 'caterpillar-magyarorszag' stretches across 24 characters containing 8 vowels alongside 15 consonants, along with 1 hyphen. Breaking it apart gives five words: caterpillar, magyar, or, s, zag. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://old3.caterpillar-magyarorszag.com

Page Load Overview

0.59s
Total Load Time
3
HTTP Requests
2
Domains
N/A
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:149 chars
Detector Agreement:67%

Website Classification

Primary Category

finance banking100% confidence
Type: spa
Method: ml+structural

All Detected Categories

finance banking
100%
corporate business
89%
adult content
61%
government public service
52%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.233.219.49Chicago, Illinois, United States
AS63949Akamai Connected Cloud
1172.234.216.100Chicago, Illinois, United States
AS63949Akamai Connected Cloud
32--

Detected Technologies4

JQueryv1.9.1
100%
Google Tag Manager
30%
jsDelivr
20%
Google Hosted Libraries
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T180A022FEE080300CEE3033C800E033E82CC8C02020CC3A303F0030F0A8C8A2ACA82082

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qLJhquHbszROTkMT3kcvXbZ6iF4:q9hqIY9Ok5CX965

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:c4e3b118f51fb850fb544462f295c176

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#40bfae

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data