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Visual Capture

No screenshot available

Detection Info

https://attnet.ddns.net/cgi-bin/home.ha
Detected Brand
Unknown
Country
Unknown
Confidence
70%
HTTP Status
200
Report ID
eef21d6b-efdโ€ฆ
Analyzed
2026-01-28 09:55

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T17651839540818C125252D1A5E3E1BE2683C1C345C36A4D70A7B847BE7AD6CD8CE692BD
CONTENT ssdeep
48:y1Y+zcwpwvHG83PvE5YwB3RlvNTDy3H2aJBmvlDi/b/kIgU0iNV:Bm8/vE5YulNT2wle/r30iNV

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
9292969e7c3c3c3c
VISUAL aHash
3e7e040000000000
VISUAL dHash
6c48180000000000
VISUAL wHash
7e7e060c0f0f0f0f
VISUAL colorHash
070020001c0
VISUAL cropResistant
6c48180000000000

Code Analysis

Risk Score 56/100
๐ŸŽฃ Credential Harvester

๐Ÿ” Credential Harvesting Forms

๐Ÿ”’ Obfuscation Detected

  • fromCharCode
  • base64_strings

๐ŸŽฏ Kit Endpoints

  • /cgi-bin/login.ha

๐Ÿ“ค Form Action Targets

  • /cgi-bin/login.ha

๐Ÿ“Š Risk Score Breakdown

Total Risk Score
70/100

Contributing Factors

Active Phishing Kit
Detected active phishing kit types: Credential Harvester
Credential Harvesting
Credential harvesting detected with 1 form(s) capturing sensitive data
Code Obfuscation
JavaScript code obfuscated using 9 technique(s) to evade detection

๐Ÿ”ฌ Comprehensive Threat Analysis

Threat Type
Credential Harvesting Kit
Target
General public
Attack Method
credential harvesting forms + obfuscated JavaScript
Exfiltration Channel
HTTP POST to backend
Risk Assessment
MEDIUM - Automated credential harvesting with HTTP POST to backend

โš ๏ธ Indicators of Compromise

  • Kit types: Credential Harvester
  • 9 obfuscation techniques

๐Ÿข Brand Impersonation Analysis

Impersonated Brand
Generic Phishing
Official Website
N/A
Fake Service
Credential harvesting service

โš”๏ธ Attack Methodology

Primary Method: Credential Harvesting

Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.

Secondary Method: JavaScript Obfuscation

Malicious code is obfuscated using 9 techniques to evade detection by security scanners and make reverse engineering more difficult.

๐ŸŒ Infrastructure Indicators of Compromise

Domain Information

Domain
attnet.ddns.net
Registered
Unknown
Registrar
None
Status
Age unknown

Hosting Information

Provider
Unknown
ASN

๐Ÿค– AI-Extracted Threat Intelligence

๐Ÿ˜ฐ
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