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Visual Capture

Screenshot of aik.chase998.uk.cc

Detection Info

http://aik.chase998.uk.cc
Detected Brand
Coupang, SSG, AliExpress, Gmarket, 11ST, Olive Young, Lotte ON
Country
South Korea
Confidence
100%
HTTP Status
200
Report ID
87a37f1a-79bโ€ฆ
Analyzed
2026-01-26 09:44
Final URL (after redirects)
http://aik.chase998.uk.cc/index/index/home.html

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T1D6921A29B54E5C62DF33C4C2A4E02D273499E3078A2A09E15BD905B59FD3CF0B989FB4
CONTENT ssdeep
96:YiryG1T0aP6kpxhHQEsW3wSUPVRUGrkE5K8VzQ/96DeLa1k+fyc2Cm/zSWtILOPo:Yi7TpAExrakOUz+yoVX/0/6

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
dcdd73f1e6260809
VISUAL aHash
e7fc181818180000
VISUAL dHash
0f32b3333332440e
VISUAL wHash
ffff3c3c3c3c0000
VISUAL colorHash
39600008200
VISUAL cropResistant
06066669c30f0684,0008bc98b9b7bc9d,0f00000000000008,a6a294554d3931c2,0f32b3333332440e

Code Analysis

Risk Score 68/100
Threat Level ALTO
โš ๏ธ Phishing Confirmed
๐ŸŽฃ Credential Harvester ๐ŸŽฃ OTP Stealer

๐Ÿ”ฌ Threat Analysis Report

โ€ข Threat: E-commerce commission scam phishing
โ€ข Target: Users in South Korea, targeting victims with Korean e-commerce brands
โ€ข Method: Scam claiming to offer commissions by processing orders after initial deposit
โ€ข Exfil: Unknown, but likely harvesting personal/financial information
โ€ข Indicators: Misleading commissions claims, unknown domain, deposit required
โ€ข Risk: HIGH - Risk of financial loss, personal data theft

๐Ÿ”’ Obfuscation Detected

  • fromCharCode

๐Ÿ“Š Risk Score Breakdown

Total Risk Score
100/100

Contributing Factors

Active Phishing Kit
Detected Credential Harvester and OTP Stealer kits with real-time form interception capabilities.
Brand Impersonation
Impersonates multiple high-profile e-commerce brands (Coupang, SSG, AliExpress, Gmarket, 11ST, Olive Young, Lotte ON) to deceive victims.
Obfuscation Techniques
Detected 2 obfuscation techniques in JavaScript files, complicating analysis and detection evasion.
Suspicious Claims
Promises commissions for processing orders and requires a minimum deposit of 100,000 KRW, indicating financial fraud.
Malicious JavaScript
Inclusion of JavaScript file (swiper-bundle.min.js) with potential obfuscation, totaling 0.14 MB in size.

๐Ÿ”ฌ Comprehensive Threat Analysis

Threat Type
Two-Factor Authentication Stealer
Target
Coupang, SSG, AliExpress, Gmarket, 11ST, Olive Young, Lotte ON users (South Korea)
Attack Method
Brand impersonation + credential harvesting forms + obfuscated JavaScript
Exfiltration Channel
Unknown
Risk Assessment
HIGH - Automated credential harvesting with Unknown

โš ๏ธ Indicators of Compromise

  • Kit types: Credential Harvester, OTP Stealer
  • 2 obfuscation techniques

๐Ÿข Brand Impersonation Analysis

Impersonated Brand
Coupang, SSG, AliExpress, Gmarket, 11ST, Olive Young, Lotte ON
Official Website
https://www.coupang.com, https://www.ssg.com, https://www.aliexpress.com, https://www.gmarket.co.kr, https://www.11st.co.kr, https://www.oliveyoung.co.kr, https://www.lotteon.com
Fake Service
Commission-based order processing

Fraudulent Claims

โš”๏ธ Attack Methodology

Primary Method: Credential Harvesting

The phishing kit captures user credentials through fake login forms mimicking e-commerce platforms. Submitted data is likely exfiltrated to an attacker-controlled server for account takeover or financial fraud.

Secondary Method: OTP Stealer

The kit includes functionality to intercept one-time passwords (OTPs) sent to victims, enabling attackers to bypass two-factor authentication and gain unauthorized access to accounts.

๐ŸŒ Infrastructure Indicators of Compromise

Domain Information

Domain
aik.chase998.uk.cc
Registered
1997-10-13 04:00:00+00:00
Registrar
Gname.com Pte. Ltd.
Status
Active (10332 days old)

๐Ÿฆ  Malicious Files

Main File
File Size

JavaScript file with potential obfuscation, associated with the phishing kit.

๐Ÿ“Š Attack Flow Diagram

Here's a generic ASCII art attack flow diagram for the phishing attack:

```
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ 1. TARGET RECEIVES PHISHING LURE                          โ”‚
โ”‚    - Fake email/SMS with malicious link                  โ”‚
โ”‚    - Mimics Coupang, SSG, AliExpress, etc. branding     โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                     โ”‚
                     โ–ผ
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ 2. VICTIM LANDS ON FAKE SITE                             โ”‚
โ”‚    - Clone of legitimate e-commerce login page           โ”‚
โ”‚    - Requests user credentials                           โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                     โ”‚
                     โ–ผ
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ 3. CREDENTIAL INPUT                                      โ”‚
โ”‚    - User enters username/password                       โ”‚
โ”‚    - Form appears identical to real site                 โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                     โ”‚
                     โ–ผ
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ 4. DATA EXFILTRATION                                     โ”‚
โ”‚    - Credentials sent via HTTP POST                      โ”‚
โ”‚    - Standard form submission to attacker server         โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
```

๐Ÿ”ฌ JavaScript Deep Analysis

Total Code Size
139.7ย KB

๐Ÿ”— API Endpoints Detected

Other
1

๐Ÿ” Obfuscation Detected

  • : Light

๐Ÿค– AI-Extracted Threat Intelligence

๐Ÿ“Š Attack Flow

Here's a generic ASCII art attack flow diagram for the phishing attack:

```
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ 1. TARGET RECEIVES PHISHING LURE                          โ”‚
โ”‚    - Fake email/SMS with malicious link                  โ”‚
โ”‚    - Mimics Coupang, SSG, AliExpress, etc. branding     โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                     โ”‚
                     โ–ผ
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ 2. VICTIM LANDS ON FAKE SITE                             โ”‚
โ”‚    - Clone of legitimate e-commerce login page           โ”‚
โ”‚    - Requests user credentials                           โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                     โ”‚
                     โ–ผ
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ 3. CREDENTIAL INPUT                                      โ”‚
โ”‚    - User enters username/password                       โ”‚
โ”‚    - Form appears identical to real site                 โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                     โ”‚
                     โ–ผ
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ 4. DATA EXFILTRATION                                     โ”‚
โ”‚    - Credentials sent via HTTP POST                      โ”‚
โ”‚    - Standard form submission to attacker server         โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
```

๐ŸŽฏ Malicious Files Identified

๐Ÿ˜ฐ
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