Malicious PDF — malware analysis report

Static analysis result for SHA-256 08bf3e0ec280b30a…

MALICIOUS

PDF

141.2 KB
MD5: 4a3cc7da2de5114700d79c6cf43e37be SHA-1: 866731292e220b9b3dd7b5120cf5c0f0edbef554 SHA-256: 08bf3e0ec280b30a22a977a02a763655e9a05211916df191610d81ffec99af48
164 Risk Score

Malware Insights

MITRE ATT&CK
T1203 Exploitation for Client Execution T1566.001 Spearphishing Attachment

The sample is a PDF file that contains an embedded XFA form and exploits the CVE-2010-0188 vulnerability in Adobe Reader. This vulnerability is used to deliver and execute a malicious payload. The ML classifier also flagged this PDF as malicious with a high probability. The presence of an embedded PDF with suspicious findings further supports the malicious nature of this file.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9142

Heuristics 6

  • Adobe Reader LibTIFF XFA image exploit — CVE-2010-0188 critical CVE likely CVE_2010_0188
    PDF contains XFA image data with an inline crafted TIFF payload and shellcode/delivery markers. This is the data-bound variant of the CVE-2010-0188 Adobe Reader LibTIFF/XFA exploit shape.
  • Secondary embedded PDF body has suspicious static findings critical POLYGLOT_CHILD_PDF_STATIC_TRIAGE
    A valid PDF body was found at a nonzero offset inside another container and its carved contents matched PDF exploit or lure heuristics. This catches polyglots where the top-level magic routes to ZIP/OLE while a PDF reader or downstream parser opens the hidden PDF payload.
  • XFA form low PDF_XFA
    PDF uses XML Forms Architecture — can contain script logic
  • Object number defined twice with different bodies info PDF_DUPLICATE_OBJ_BODY_INCREMENTAL
    The same indirect object (N G) is defined more than once with different body bytes. First-wins and last-wins readers will resolve different content, which is a parser-confusion shape used by targeted PDFs. Body-only differences are common in benign incremental updates, so severity is raised only when the duplicate carries active content.
  • PDF differential parser failed info PDF_DIFFERENTIAL_PARSE_FAILED
    The cross-check parser (pdfminer.six) failed on this file: PDF differential parser failed: PSSyntaxError. Static heuristics still ran and any of their findings above are valid; only the differential cross-check signal is missing.
  • 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/
    • http://www.xfa.org/schema/xci/1.0/
    • http://www.xfa.org/schema/xfa-template/2.4/
    • http://www.xfa.org/schema/xfa-data/1.0/
    • http://ns.adobe.com/xtd/
    • http://www.xfa.org/schema/xfa-form/2.8/

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
stream_000_off0000004f.bin
4039e9c998334ff031d82f5ca110045c516b3c5ea8785535b9ad33d41166a47b		 decompressed-pdf-stream PDF FlateDecoded stream at offset 0x4F 13560 bytes
polyglot_child_pdf_off000205db.pdf
c102d44267abc2eb3a0470e7f7826cc96337accbed8026665157470b23634d44		 polyglot-child-pdf Secondary PDF body inside pdf container at offset 0x205DB 12066 bytes

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