MALICIOUS
60
Risk Score
Machine Learning
- Nyx PDF Classifier clean score 0.0001
Heuristics 2
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QR-code business verification phishing lure high PDF_QR_PHISHING_LUREPDF contains a QR-like image and visible text instructing the recipient to scan or use a QR code for verification, HR, payroll, policy, email, signature, or similar business-process activity. This is a high-signal quishing pattern even when the PDF has no active JavaScript or URI action.
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QR-code redirect lure medium SE_QR_LUREDocument instructs the user to scan a QR code with a phone — consistent with QR phishing, but also common in legitimate documents
Extracted artifacts 4
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
icc_00_off00000196.icc |
pdf-icc-profile | PDF ICC profile at offset 0x196 | 536 bytes |
SHA-256: d9f822e8083f2f4d1c91e887454be5f75e8c7144b2853408f361e3c4a7a6b36d |
|||
font_00_sfnt_off00007129.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7129 | 53480 bytes |
SHA-256: 6f75b5dd238b025d8a71051579b14362713c119e3b4a7e3050993fdaa386329f |
|||
font_01_sfnt_off0000ff1e.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xFF1E | 33264 bytes |
SHA-256: deb061c0d40cbe9d567f4484877b2ff728dec3298ccdeca6617d5fea784c2a0a |
|||
font_02_sfnt_off000157b5.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x157B5 | 17012 bytes |
SHA-256: 74d544edcf2ba2606680c355d0a5c8c2781ec37c0e686e5415350d7931249fc5 |
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