Security Scan Report: zilopar.com

Redirected to:
https://zilopar.com/?ms=1789007936228#/pages/login/login
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Submitted: Sep 10, 2026, 2:38:52 AMCompleted: Sep 10, 2026, 2:40:25 AMpubliccompleted

This website contacted 4 IPs in 3 countries across 4 domains to perform 41 HTTP transactions. The main domain is zilopar.com and was registered 3 weeks ago.

Submitted URL: http://zilopar.com/

Effective URL:

https://zilopar.com/?ms=1789007936228#/pages/login/login
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 92%

10
Risk Score

New domain with a login form indicates credential phishing; classify as confirmed scam.

Risk Factors (2)
Newly registered domain (<7 days)
Credential collection form on untrusted domain
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'zilopar.com' is registered. The second-level label 'zilopar' is 7 characters long containing 3 vowels alongside four consonants. Tokenizing the label suggests three words: z, ilo, par. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://zilopar.com/

Page Load Overview

7.87s
Total Load Time
1.2 MB
Total Size

Language Analysis

Primary Language

🇰🇷Korean
Code: ko
Confidence:60%
Script:Hangul
Direction:ltr

Detection Details

Text Length:140 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking52% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
52%
cryptocurrency blockchain
44%
news media journalism
39%
gambling betting
38%
technology software
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
10124.174.94.22China
AS137718Beijing Volcano Engine Technology Co., Ltd.
10163.181.254.192United States
AS24429Zhejiang Taobao Network Co.,Ltd
10163.181.131.240Frankfurt am Main, Hesse, Germany
AS24429Zhejiang Taobao Network Co.,Ltd
414--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15243A531750C35166537C845E4C4AB58312AA323C7670AE9B799322A8FCBDD72F7A38D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:gddZXEnaglawnS5sfrmsf4QsfLBsf2TTzhBeC3D:gaar

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:57512:gJGFjDKcqoOQBW0gYJBQCAMCBAYMJCBoAAAEByyKhAQoSgDrdygEuKK0jgqSF5SjKARAUvwXEAgjiQh9HJ0DAAmUwsQBpxAG

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:0018181818180000
Perceptual Hash:cccc663333333399
Difference Hash:4db2b2b2b2b25a4d
Wavelet Hash:00183c3c38382820
Color Hash:#539dac

Scan History

Scan history not available

Unable to load historical scan data