Malicious PDF — malware analysis report

Static analysis result for SHA-256 a6646c742ee00eb9…

MALICIOUS

PDF

112.6 KB Created: 2020-08-27 17:43:37 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: 01cf1b57745f249c961101941a23ff31 SHA-1: 4bb3d54b0ded6b734d11691e101c13c168af78d3 SHA-256: a6646c742ee00eb9df4edf7554d5309f5d25f25d07c3e555ca732a769b1827d4
150 Risk Score

Malware Insights

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

The PDF contains a malicious redirector link pointing to 'ttraff.cc', which is flagged as malicious infrastructure. Additionally, the document exhibits characteristics of a link farm, with numerous embedded URLs, many hosted on Shopify. The ML classifier strongly indicates maliciousness. The primary attack vector appears to be social engineering via a deceptive link within the document.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 3

  • 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.
  • Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARM
    Small PDF contains many clickable external PDF links, mostly clustered on one host. This matches generated SEO/link-farm PDF carriers used to route users into malicious or unwanted-software delivery chains, rather than a normal document citation pattern.
  • 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 https://ttraff.cc/pify?keyword=beschleunigung+der+drogen+-+und+biol
    • http://xapili.contentedcomfort.com/uploads/1/3/1/4/131483044/a857d5.pdf
    • http://bavuli.personalpilatesma.com/uploads/1/3/0/7/130739235/d91eb7bf6b.pdf
    • https://cdn.shopify.com/s/files/1/0433/7244/5854/files/94260430640.pdf
    • https://cdn.shopify.com/s/files/1/0433/2086/9019/files/browser_test_2019_android.pdf
    • https://cdn.shopify.com/s/files/1/0432/1270/1854/files/76263016599.pdf
    • https://cdn.shopify.com/s/files/1/0438/0780/1504/files/xuxisezikusigezemu.pdf
    • https://cdn.shopify.com/s/files/1/0433/5996/1239/files/gartner_blockchain_report_2019.pdf
    • https://cdn.shopify.com/s/files/1/0433/1284/0862/files/11318764023.pdf
    • https://cdn.shopify.com/s/files/1/0433/6395/8938/files/the_nature_of_genius_mini_ielts_answers.pdf
    • https://cdn.shopify.com/s/files/1/0434/5207/2086/files/jewamuj.pdf
    • https://cdn.shopify.com/s/files/1/0428/5782/4419/files/livukovag.pdf
    • https://cdn.shopify.com/s/files/1/0428/5209/0022/files/28937615743.pdf
    • http://www.w3.org/1999/02/22-rdf-syntax-ns#
    • http://purl.org/dc/elements/1.1/
    • http://ns.adobe.com/pdf/1.3/
    • http://ns.adobe.com/xap/1.0/
    • http://ns.adobe.com/xap/1.0/mm/
    • http://ns.adobe.com/xap/1.0/rights/

Extracted artifacts 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00016d5d.bin
cc40ff0e79012f7776278701a6e726fd433bea467fdd497d6748b63c044ae7a4		 pdf-font-stream PDF embedded font (sfnt) at offset 0x16D5D 5012 bytes
font_01_sfnt_off00017e4a.bin
a1f022eab0ce8037d2281896c966c864bf4845022a57cf751e0496678b856578		 pdf-font-stream PDF embedded font (sfnt) at offset 0x17E4A 12512 bytes
font_02_sfnt_off0001a523.bin
cd94ef65598b1866d0653cdd88243d989fd81359c0e770c2d3a4858f1c2f6d34		 pdf-font-stream PDF embedded font (sfnt) at offset 0x1A523 4324 bytes

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