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.
🗂 Part of campaign:
volaris.com
813 samples
Extracted artifacts 4
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
stream_014_off0001c95c.bin |
decompressed-pdf-stream | PDF FlateDecoded stream at offset 0x1C95C | 149264 bytes |
SHA-256: daaf8d0d1566fecb70f983ca2a9f4329d160e245b9a142d662a1c5afabb82524 |
|||
font_01_sfnt_off00028c8d.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x28C8D | 52412 bytes |
SHA-256: dc011a17084fb4767f2e3a2e83c634f9eb1c250ac13ed7973eef7cf6dde92183 |
|||
font_02_sfnt_off0002a3a1.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x2A3A1 | 221492 bytes |
SHA-256: 3a9f5418a191bece5e02f3101b5f4e5b7e00484823a072f82889d7ad3ae3973f |
|||
font_03_sfnt_off0002b7d1.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x2B7D1 | 47796 bytes |
SHA-256: e63a51dfd52b6a8c3166c59ef4814eb245c5181b09637107ec97ab4eb48e1cf5 |
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