CLEAN
20
Risk Score
Machine Learning
- Nyx PDF Classifier clean score 0.0001
Heuristics 1
-
Callback phishing phone lure medium SE_CALLBACK_LUREDocument asks the user to call a phone number in billing, refund, subscription, fraud, or security context — consistent with callback phishing or tech-support scam patterns. Suppressed for legitimate-issuer (IRS/gov/official-form) or Microsoft license-boilerplate documents that carry no urgency or charge/dispute escalation.
Extracted artifacts 4
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
stream_005_off0000a4ca.bin |
decompressed-pdf-stream | PDF FlateDecoded stream at offset 0xA4CA | 53436 bytes |
SHA-256: f096c1721e5d0771a21ac2fb760776d1892ab8ecaf4e18b034421be963bad23c |
|||
stream_007_off00011cfa.bin |
decompressed-pdf-stream | PDF FlateDecoded stream at offset 0x11CFA | 18240 bytes |
SHA-256: 33e060654ed1208fc726f2323a8a9e7d9de6f6c8c2aedd340c7ed605b422fc95 |
|||
font_00_sfnt_off00007f77.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7F77 | 14832 bytes |
SHA-256: 2a7cfddf440be3e011677174fa90336e7e2f2e2693e9dd931d0ca9a780af5e07 |
|||
font_02_sfnt_off000149a0.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x149A0 | 25424 bytes |
SHA-256: 5a719c508c895896e761864ec27a21e9ef3e2fcf79332cb054f26e9849368604 |
|||
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