MALICIOUS
60
Risk Score
Machine Learning
- Nyx PDF Classifier clean score 0.0003
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 |
|---|---|---|---|
stream_002_off00004c2b.bin |
decompressed-pdf-stream | PDF FlateDecoded stream at offset 0x4C2B | 49152 bytes |
SHA-256: 876a1bfc0e868d39fc361d6c9c0e4f4f53e1525b256248bfe97d30402b46468a |
|||
icc_00_off000001db.icc |
pdf-icc-profile | PDF ICC profile at offset 0x1DB | 536 bytes |
SHA-256: d9f822e8083f2f4d1c91e887454be5f75e8c7144b2853408f361e3c4a7a6b36d |
|||
font_00_sfnt_off00011749.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x11749 | 53660 bytes |
SHA-256: 3d82cfd735c778428b08dfeb73e556bdc21860ec089378753a04e60647f86acf |
|||
font_01_sfnt_off00019acf.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x19ACF | 31404 bytes |
SHA-256: 16d7c5091a1869241fd859be2990b37fc893f9a30acfafd1922bee7fdc31936d |
|||
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