Malicious PDF — malware analysis report

Static analysis result for SHA-256 3c0fac08a7fcb85c…

MALICIOUS

PDF

185.7 KB Created: 2015-08-08 10:39:38 +03:00 Authoring application: wkhtmltopdf 0.12.2.1 (via Qt 4.8.6)
MD5: 98733c4d5c058bab93b3ff4e721e70be SHA-1: df9d127df935675bd5b8bb0b7dbef666ffd5c0e1 SHA-256: 3c0fac08a7fcb85ca9c00592caa16ce52c1c9514ff8517573b6956cec41a083e
90 Risk Score

Malware Insights

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

The PDF file was flagged by a machine learning classifier and contains a direct link to a known malicious redirector. This indicates the document is designed to lure users to a harmful website. No scripts were extracted, and the document body was truncated, limiting further analysis of the exact lure.

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%82%D0%B5%D0%BB%D0%B5%D1%84%D0%BE%D0%BD%D0%BD%D1%8B%D0%B9+%D1%81%D0%BF%D1%80%D0%B0%D0%B2%D0%BE%D1%87%D0%BD%D0%B8%D0%BA+%D0%BA%D0%BE%D1%81%D1%82%D0%B0%D0%BD%D0%B0%D0%B9%D1%81%D0%BA%D0%BE%D0%B9+%D0%BE%D0%B1%D0%BB%D0%B0%D1%81%D1%82%D0%B8+2013&charset=utf-8
    • http://fastpic.ru/
    • http://www.liveinternet.ru/click
    • http://img1.liveinternet.ru/images/attach/c/6//4385/4385326_akt_priema_peredachi_transportnogo_sredstva_obrazec.pdf
    • http://img0.liveinternet.ru/images/attach/c/6//4384/4384918_geroi_4_polnoe_sobranie_skachat_torrent.pdf
    • http://img1.liveinternet.ru/images/attach/c/6//4385/4385478_kak_nazvat_svadebnuyy_albom_v_kontakte.pdf

Extracted artifacts 6

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0002427d.bin
880e53e6f12106514012eaabb19a261b9f8ae03d695445fc59a5b9b5a1293281
pdf-font-stream PDF embedded font (sfnt) at offset 0x2427D 3556 bytes
font_01_sfnt_off00025000.bin
2c816ca5fef306b6ba751b741092cf1dccd804b969b704822c1163c56128b4e3
pdf-font-stream PDF embedded font (sfnt) at offset 0x25000 14428 bytes
font_02_sfnt_off00027d2f.bin
c0d5ba9d7e8c22c4fe2bd478f9e1bfd406166d70b5caa7d8b2c8f94fd3697abe
pdf-font-stream PDF embedded font (sfnt) at offset 0x27D2F 14468 bytes
font_03_sfnt_off0002a7da.bin
21bc2c02307237fb5803b92cf448468c4de5eb6d670e05855ae9332c7fc137a7
pdf-font-stream PDF embedded font (sfnt) at offset 0x2A7DA 7200 bytes
font_04_sfnt_off0002bccd.bin
819f9cc5156bfe3dae03045446d677a19b5879270357875344f9514601da73e3
pdf-font-stream PDF embedded font (sfnt) at offset 0x2BCCD 6084 bytes
font_05_sfnt_off0002cc62.bin
9364d8c42993f0db1eb41a63b15a48dd56cef5056a611ab8e91dd81183a5a95e
pdf-font-stream PDF embedded font (sfnt) at offset 0x2CC62 3752 bytes