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mukul975
40 lines
1.6 KiB
Markdown
40 lines
1.6 KiB
Markdown
# Standards & References: Detecting QR Code Phishing
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## Industry Statistics (2025-2026)
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- Quishing incidents grew from 46,000 to 250,000 between Aug-Nov 2025 (Kaspersky)
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- 89.3% of QR code phishing targets credential theft
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- 12% of January 2026 attacks used ASCII text-based QR codes
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- Only 36% of quishing incidents accurately identified by recipients
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- 25% year-over-year growth in quishing incidents
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## MITRE ATT&CK References
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- **T1566.001**: Phishing: Spearphishing Attachment (QR in PDF/image)
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- **T1566.002**: Phishing: Spearphishing Link (QR-encoded URL)
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- **T1204.001**: User Execution: Malicious Link (user scans QR)
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- **T1598.003**: Phishing for Information: Spearphishing Link
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## Quishing Attack Patterns
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| Pattern | Description | Detection Difficulty |
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| Inline QR image | QR code embedded directly in email body | Medium |
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| PDF attachment QR | QR code inside attached PDF document | High |
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| Split QR code | QR divided into two benign-looking images | Very High |
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| ASCII QR code | QR rendered as text characters | Very High |
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| Nested QR code | QR within QR with intermediate redirect | High |
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| Styled QR code | Artistic QR with logos/colors | Medium |
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## Common Quishing Themes
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- MFA enrollment/reset requiring QR scan
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- Document signing via QR code
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- Voicemail notification with QR access
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- Package delivery QR confirmation
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- IT security update requiring QR authentication
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- Shared document access via QR
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## Detection Technologies
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- Multimodal AI (OCR + deep image + NLP)
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- Computer vision QR code detection
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- URL reputation analysis for decoded URLs
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- Mobile threat defense QR scanning
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- Behavioral analysis of image-only emails
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