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Visual Capture

Screenshot of qaap0qaap.framer.ai

Detection Info

https://qaap0qaap.framer.ai/
Detected Brand
Zimbra
Country
Unknown
Confidence
100%
HTTP Status
200
Report ID
3e953845-369โ€ฆ
Analyzed
2026-07-03 15:09

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T1E8426233A600CD2A4EAB65CCF2C49688514EC345FB7148CAB1A491FFBBC5DF059A53AD
CONTENT ssdeep
192:KomYc5cnchoBgyP5m7OTLxABepMcnthWeNWb1AtfMmUU8VCoQ:5c5cnchoBgyhmyCBeiAtfMmUFCoQ

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
89dc267389fcc899
VISUAL aHash
0000181818180000
VISUAL dHash
904cb2b2b2320ee3
VISUAL wHash
783cff3f1f9e0000
VISUAL colorHash
000000001c0
VISUAL cropResistant
8cc8e2a28232b2c0,904cb2b2b2320ee3

Code Analysis

Risk Score 79/100
Threat Level ALTO
โš ๏ธ Phishing Confirmed
๐ŸŽฃ Credential Harvester ๐ŸŽฃ OTP Stealer ๐ŸŽฃ Personal Info

๐Ÿ”’ Obfuscation Detected

  • atob
  • fromCharCode
  • base64_strings

๐Ÿ“Š Risk Score Breakdown

Total Risk Score
100/100

Contributing Factors

Active Phishing Kit
Detected kit types: Credential Harvester, OTP Stealer, Personal Info
Credential Harvesting
Credential harvesting detected with 1 form(s) capturing sensitive data
Code Obfuscation
JavaScript code obfuscated using 4 technique(s) to evade detection

๐Ÿ”ฌ Comprehensive Threat Analysis

Threat Type
Two-Factor Authentication Stealer
Target
Zimbra users
Attack Method
credential harvesting forms + obfuscated JavaScript
Exfiltration Channel
Form submission (backend endpoint not detected - likely JavaScript-based)
Risk Assessment
HIGH - Automated credential harvesting with Form submission (backend endpoint not detected - likely JavaScript-based)

โš ๏ธ Indicators of Compromise

  • Kit types: Credential Harvester, OTP Stealer, Personal Info
  • 4 obfuscation techniques

๐Ÿข Brand Impersonation Analysis

Impersonated Brand
Zimbra
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.

๐ŸŒ Infrastructure Indicators of Compromise

Domain Information

Domain
qaap0qaap.framer.ai
Registered
Unknown
Registrar
Unknown
Status
Age unknown

Hosting Information

Provider
Unknown
ASN

๐Ÿค– AI-Extracted Threat Intelligence

Similar Websites

Pages with identical visual appearance (based on perceptual hash)

๐Ÿ˜ฐ
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