PDF static analysis report

Static analysis result for SHA-256 bbacd4c6f4191048…

SUSPICIOUS

PDF

32.4 KB Created: 2011-04-12 19:13:42 -04:00 Authoring application: Writer (via OpenOffice.org 2.4) First seen: 2012-11-24
MD5: 218a3f6c293d67e5eef2a58742966d56 SHA-1: 73c015d47e178772c805031f51ec192d7eb73239 SHA-256: bbacd4c6f4191048f2bcf4ce64d170ad02fd3d9ad2679b6cdcab09065c79753a
56 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1204.002 Malicious File

The PDF file was flagged by a machine learning classifier as malicious with high confidence. It contains embedded files and uses AcroForm buttons with action triggers, which are common techniques for delivering secondary payloads. The document body is unreadable, but the presence of these elements strongly suggests a malicious intent, likely to download and execute further malware.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9986

Heuristics 4

  • Embedded file low PDF_EMBEDDED
    PDF embeds a file attachment — could carry an executable or another weaponised document as a nested payload
  • XFA form low PDF_XFA
    PDF uses XML Forms Architecture — can contain script logic
  • AcroForm button with action trigger low PDF_ACROFORM_BUTTON
    PDF contains a /Btn form field together with a SubmitForm/URI/Launch/JS trigger — this is the building block of fake 'Download' or 'Open' button overlays used in PDF phishing lures
  • 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 http://ns.adobe.com/xdp/ In PDF document text
    • http://www.xfa.org/schema/xci/1.0/In PDF document text
    • http://ns.adobe.com/xtd/In PDF document text
    • http://www.xfa.org/schema/xfa-data/1.0/In PDF document text
    • http://ns.adobe.com/xfdf/In PDF document text
    • http://www.xfa.org/schema/xfa-form/2.8/In PDF document text

Related samples 8

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

Full JSON: related samples API

Extracted artifacts 7

Files carved from inside the sample during analysis.

FilenameKindSourceSize
embedded_file_obj0020.bin pdf-embedded-file PDF EmbeddedFile object 20 at offset 0x4685 28434 bytes
SHA-256: aa6c8e9a424532c1ceedbd6ceb14da73a36827b058bec0d45a5672b18e770e6e
embedded_file_obj0018.bin pdf-embedded-file PDF EmbeddedFile object 18 at offset 0x7A12 84 bytes
SHA-256: d81baa73e490e4cb879e13927cacd1dd1be37524a37eac51603e15117c578777
embedded_file_obj0019.bin pdf-embedded-file PDF EmbeddedFile object 19 at offset 0x7AC4 228 bytes
SHA-256: 24c130f03a4cf51d470b536e94c1e58af67665739e200e0ce198ad41086243c0
embedded_file_obj0021.bin pdf-embedded-file PDF EmbeddedFile object 21 at offset 0x7BB5 199 bytes
SHA-256: c97e0522381d6196cc0695f35f4d065f15c9c86a9601a7f776c6afd3f4c6b460
embedded_file_obj0022.bin pdf-embedded-file PDF EmbeddedFile object 22 at offset 0x7CA6 119 bytes
SHA-256: 846dfecc0c93797cb6db4301f6af323fffd76ffdf8c053c439495412785138e7
embedded_file_obj0023.bin pdf-embedded-file PDF EmbeddedFile object 23 at offset 0x7D5E 77 bytes
SHA-256: e6c26a3478346d27e841ad49868ebf68bf4c6863b6750e8d60bda3c4c6f79876
embedded_file_obj0024.bin pdf-embedded-file PDF EmbeddedFile object 24 at offset 0x7E05 56 bytes
SHA-256: 92a3ce61d783e15932b5de127ce45a9b4c2f98f4da2453f65241573c1dda808a

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