MALICIOUS
80
Risk Score
Machine Learning
- Nyx PDF Classifier clean score 0.0001
Heuristics 2
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Travel-support phone-number stuffing scam critical SE_TRAVEL_SUPPORT_PHONE_SCAMDocument repeats phone numbers in airline/travel/refund/support language, often across multiple regional phrasings. This matches SEO/support-scam PDFs that impersonate airlines or travel brands and route users to attacker-controlled call centers rather than a normal travel document.
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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 6
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
stream_019_off000318cd.bin |
decompressed-pdf-stream | PDF FlateDecoded stream at offset 0x318CD | 149756 bytes |
SHA-256: 15f6c765f4350973b31a4561b1b1d93dfc15caf5336b83aa298091ef04a2594b |
|||
font_00_sfnt_off0002d444.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x2D444 | 28804 bytes |
SHA-256: 3a9d5d751f15a68ff6c35feb805c1e468e89232f91ce0107c2c2fdeb52e2dd55 |
|||
font_02_sfnt_off0003be0b.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x3BE0B | 50132 bytes |
SHA-256: fe6159d3ea9faf6e4499ae66df1c3b10c2a61bb247ecb62a74e2536c5ebf6505 |
|||
font_03_sfnt_off0003cd45.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x3CD45 | 220780 bytes |
SHA-256: f91b363df35c89abd10f1b74970f2be596ef427093c0804e3a9d6a9cb3588a76 |
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font_04_sfnt_off0003df7e.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x3DF7E | 47796 bytes |
SHA-256: e63a51dfd52b6a8c3166c59ef4814eb245c5181b09637107ec97ab4eb48e1cf5 |
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font_05_sfnt_off000418a9.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x418A9 | 6096 bytes |
SHA-256: 03c02e05377f87b7ffcfeecda6ee9d693b22f57d196f7e92f5eec09b0c4d8096 |
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