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_008_off0001add7.bin |
decompressed-pdf-stream | PDF FlateDecoded stream at offset 0x1ADD7 | 151220 bytes |
SHA-256: 254fc6d9978b371a457f3202913e2e0fd79df9a658a1c7269bbf765c0363c3d4 |
|||
font_00_sfnt_off000162f3.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x162F3 | 30384 bytes |
SHA-256: 21cff76363085302354e3504829fb595191133c5cdfab55239357f122a00d40f |
|||
font_02_sfnt_off00025538.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x25538 | 217340 bytes |
SHA-256: 94e96ca5dcf0707727b48752fdd01a4cb343919f3b48cba95a6cbc0d6d0c748e |
|||
font_03_sfnt_off00026451.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x26451 | 47796 bytes |
SHA-256: e63a51dfd52b6a8c3166c59ef4814eb245c5181b09637107ec97ab4eb48e1cf5 |
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