Malicious PDF — malware analysis report

Static analysis result for SHA-256 3e72a456dc5f13c2…

MALICIOUS

PDF

388.4 KB Authoring application: Skia/PDF m150 Google Docs Renderer First seen: 2026-05-17
MD5: 824366ae08d6b826486e7de82c8ca552 SHA-1: fc1afc25c90b212f76566b282dbfbc52fc36d80b SHA-256: 3e72a456dc5f13c2652391b562ff28aa78ccb8d7b0f4ee080c290dc0fda44465
84 Risk Score

Machine Learning

  • Nyx PDF Classifier clean score 0.0003

Heuristics 4

  • Travel-support phone-number stuffing scam critical SE_TRAVEL_SUPPORT_PHONE_SCAM
    Document 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.
  • Callback phishing phone lure medium SE_CALLBACK_LURE
    Document 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.
  • External URI info PDF_URI
    PDF contains an external URL action
  • Embedded URL info EMBEDDED_URL
    One or more URLs were extracted from the document. The URL itself is not a detection — see the per-URL labels for which channel (macro, JS, link annotation, document body, ...) reached each URL.
    URL https://wwws.airfrance.com.mx/ PDF link annotation
    • https://wwws.airfrance.es/In PDF document text
    • https://wwws.airfrance.com.mx/check-inIn PDF document text
    • https://comunicacion.buap.mx/sites/default/files/webform/denaffu_Airfrance_2.pdfIn PDF document text
    • https://rpal.juridicas.unam.mx/sites/default/files/webform/airfrance-betahaitumera7.pdfIn PDF document text

Related samples 8

Ranked by shared artifacts, heuristics, extracted URLs, CVEs, and signatures.

Full JSON: related samples API

Extracted artifacts 11

Files carved from inside the sample during analysis.

FilenameKindSourceSize
stream_017_off00028941.bin decompressed-pdf-stream PDF FlateDecoded stream at offset 0x28941 147464 bytes
SHA-256: 8c7940ac99e01cc93994fc483f97e87cc9658ca09ed53bfa17cc966ee2daa164
font_00_sfnt_off00022e28.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x22E28 31512 bytes
SHA-256: 01120589464bf7ed46a7132927bf4f2c0b944924ea64d34a3541af96f6668f36
font_01_sfnt_off00027a60.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x27A60 215088 bytes
SHA-256: 66aa52b0012c2d512cc06f8f1b9527c78caebd79f49cdedc165226302971fdc4
font_03_sfnt_off00030cee.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x30CEE 20872 bytes
SHA-256: 0ab1166c592233bba071d70241290c336ec9c97d76669d2000c842a4fc2c5a20
font_04_sfnt_off00034211.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x34211 26796 bytes
SHA-256: 07932859811c49e16fb1725b101760f75c6d18917f2a5e47fdcfe111803a109f
font_05_sfnt_off00038535.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x38535 41032 bytes
SHA-256: 057e3dff50b4be59e8fce4e66eebb229d7a38cccb14f686239e8b088e4941ff9
font_06_sfnt_off0003e501.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x3E501 52668 bytes
SHA-256: 6dc16b0a44128cd0c6dcc04b1053af6b646a87381a9fdefb26125f1a802180db
font_07_sfnt_off00042424.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x42424 36244 bytes
SHA-256: ca94335c000165eb98e98ef449692fdb7bd8c9ea6de3cba1504ed86de133ba6e
font_08_sfnt_off00048054.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x48054 34328 bytes
SHA-256: 831dab732faab64a7fe5f643be77857d222593eed4d37cf4779d458011de27b8
font_09_sfnt_off0004d522.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x4D522 22992 bytes
SHA-256: e5f01b0436e37f4b0e23a8c60b9af6e3d4a1e322ad00351e98207a70ce7cd05c
font_10_sfnt_off0004e076.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x4E076 16404 bytes
SHA-256: 53c78aab61a7fc6312edb860fca8413747857c77cf259fbe6df1968014c854ea

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