Malicious PDF — malware analysis report

Static analysis result for SHA-256 c981d3de1aaf64ad…

MALICIOUS

PDF

358.1 KB Created: 2015-08-28 11:50:03 +03:00 Authoring application: wkhtmltopdf 0.12.2.4 (via Qt 4.8.6)
MD5: fc0bc622b79c3fddae817f9ec0b01946 SHA-1: c9779b298a7b6fe1e0fa6662a7f02bc9f8b13414 SHA-256: c981d3de1aaf64ad315b4557cc530088113b49f7b03a1f33f05dbd20b9b68b79
90 Risk Score

Malware Insights

MITRE ATT&CK
T1566.002 Spearphishing Attachment T1059.001 PowerShell

The PDF file contains a critical heuristic firing indicating a link to known malicious redirector infrastructure. The embedded URL, 'http://botcraftman.ru/?lip&keyword=%D1%81%D0%BA%D0%B0%D1%87%D0%B0%D1%82%D1%8C+gta+san+andreas+super+cars&charset=utf-8', is the primary indicator of malicious intent. The document body, though heavily obfuscated, contains keywords related to 'gta san andreas super cars', suggesting a lure to trick users into clicking the malicious link. No scripts were extracted, but the presence of a malicious redirector is sufficient for a high confidence assessment.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9971

Heuristics 2

  • PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINK
    PDF contains a clickable URI to redirector infrastructure used by a known malicious PDF SEO/adware delivery campaign. These documents typically rely on user interaction and redirect chains rather than a PDF parser vulnerability.
  • 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://botcraftman.ru/?lip&keyword=%D1%81%D0%BA%D0%B0%D1%87%D0%B0%D1%82%D1%8C+gta+san+andreas+super+cars&charset=utf-8
    • http://img0.liveinternet.ru/images/attach/c/7//4802/4802696_dmitriy__silov__zakon_.pdf
    • http://img0.liveinternet.ru/images/attach/c/7//4802/4802490_skachat__igruy__na_.pdf
    • http://img0.liveinternet.ru/images/attach/c/7//4802/4802714_klimanova__russkiy__yazuyk_.pdf

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00054e59.bin
8cc7571ef7e08df15451ad30bf6d6ac770068efa620b9a971d834475861d2b9a		 pdf-font-stream PDF embedded font (sfnt) at offset 0x54E59 10024 bytes
font_01_sfnt_off000569ff.bin
924c26107657c57b5033d3d032a99563045a11148650170a84d8b370afdff9b8		 pdf-font-stream PDF embedded font (sfnt) at offset 0x569FF 15284 bytes

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