Malicious PDF — malware analysis report

Static analysis result for SHA-256 f2584aa91e031eb5…

MALICIOUS

PDF

184.2 KB Created: 2015-08-06 15:09:38 +03:00 Authoring application: wkhtmltopdf 0.12.2.1 (via Qt 4.8.6)
MD5: c587c3a83b1beaa1df337d33ffbb6463 SHA-1: 8a42b6c35eb8f248909ab69cd905ce8e04ed0203 SHA-256: f2584aa91e031eb598e3a107b79a4122f2717efdea934e2668d1da7634182e98
90 Risk Score

Malware Insights

MITRE ATT&CK
T1566.002 Spearphishing Attachment T1204.002 Malicious Link

The PDF document 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 potentially harmful website. The presence of embedded URLs and the critical heuristic firing strongly support this conclusion.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9982

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%BF%D1%80%D0%B0%D0%B2%D0%BE%D1%87%D0%BD%D0%B8%D0%BA+%D0%BF%D1%80%D0%B5%D0%B4%D0%BF%D1%80%D0%B8%D1%8F%D1%82%D0%B8%D0%B9+%D0%B1%D0%B5%D0%BB%D0%B0%D1%80%D1%83%D1%81%D0%B8&charset=utf-8
    • http://fastpic.ru/
    • http://www.liveinternet.ru/click
    • http://img0.liveinternet.ru/images/attach/c/6//4306/4306392_skachat_vh_dlya_ks_16_besplatno_bez_registracii_i_sms.pdf
    • http://img1.liveinternet.ru/images/attach/c/6//4311/4311278_kazan_kaziev_skachat_besplatno.pdf
    • http://img1.liveinternet.ru/images/attach/c/6//4309/4309745_3_ndfl_obrazec_zapolneniya_pri_prodazhe_avtomobilya_menee_3_let.pdf

Extracted artifacts 6

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00023d29.bin
880e53e6f12106514012eaabb19a261b9f8ae03d695445fc59a5b9b5a1293281		 pdf-font-stream PDF embedded font (sfnt) at offset 0x23D29 3556 bytes
font_01_sfnt_off00024aac.bin
eddffd38250c12060914b4f2b5ccde9732af20557a0306d3280295b6f871b055		 pdf-font-stream PDF embedded font (sfnt) at offset 0x24AAC 14420 bytes
font_02_sfnt_off00027842.bin
c33e6903d76079777c1b082a355654bfa5653b97afd40bc3e5344b34556d24bd		 pdf-font-stream PDF embedded font (sfnt) at offset 0x27842 14468 bytes
font_03_sfnt_off0002a2f4.bin
1fa1e5ebb0dfb905ee7b4f715c0b7d5a1e4751bb5d2d1ee63d1488716fc78ef0		 pdf-font-stream PDF embedded font (sfnt) at offset 0x2A2F4 6900 bytes
font_04_sfnt_off0002b6e5.bin
819f9cc5156bfe3dae03045446d677a19b5879270357875344f9514601da73e3		 pdf-font-stream PDF embedded font (sfnt) at offset 0x2B6E5 6084 bytes
font_05_sfnt_off0002c67a.bin
9364d8c42993f0db1eb41a63b15a48dd56cef5056a611ab8e91dd81183a5a95e		 pdf-font-stream PDF embedded font (sfnt) at offset 0x2C67A 3752 bytes

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