Malicious PDF — malware analysis report

Static analysis result for SHA-256 8177d7d3f51b2a81…

MALICIOUS

PDF

349.2 KB Created: 2015-08-21 09:19:21 +03:00 Authoring application: wkhtmltopdf 0.12.2.4 (via Qt 4.8.6)
MD5: b941f0eccf7d1979bf4b7d82afaf6aa6 SHA-1: 84a9545582e53ee20de797535f7fe1a38e928d84 SHA-256: 8177d7d3f51b2a81ae5b9b9602849dc6d3c1b12d96b8ef3d31f16dda151eadcb
92 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The PDF contains a link to a known malicious redirector, botcraftman.ru, which is a strong indicator of malicious intent. The ML classifier also flagged this PDF with high confidence. While no scripts were extracted, the presence of a malicious URL suggests the document is designed to lure the user to a compromised site, likely for phishing or to download further malware. The document body content is heavily corrupted and unreadable.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9980

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+%D1%81%D0%B1%D0%BE%D1%80%D0%BA%D1%83+gta+san+andreas+%D1%81+%D0%BC%D0%BE%D0%B4%D0%B0%D0%BC%D0%B8&charset=utf-8
    • http://img0.liveinternet.ru/images/attach/c/6//4654/4654741_koduy_oshibok_na_opel_vektra_a.pdf
    • http://img0.liveinternet.ru/images/attach/c/6//4654/4654748_skachat_wallhack_dlya_call_of_duty_4.pdf
    • http://img0.liveinternet.ru/images/attach/c/6//4654/4654753_skachat_igru_left_4_dead_3_cherez_torrent_licenziya.pdf

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00052718.bin
10784f35a78206d453385454824de47a86f037c13486a2c73c22bda99bbbb079		 pdf-font-stream PDF embedded font (sfnt) at offset 0x52718 9344 bytes
font_01_sfnt_off000541dc.bin
07f358549c11ffcf0cb03fa508956e4c5585a0f6dcab36187c21be9a8da07c47		 pdf-font-stream PDF embedded font (sfnt) at offset 0x541DC 16972 bytes

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