Malicious PDF — malware analysis report

Static analysis result for SHA-256 44b2c0ebf1edab10…

MALICIOUS

PDF

46.1 KB Created: 2020-08-29 05:48:04 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: 9510cdd497bb624d4ea53caa01c79ee1 SHA-1: cf8dc5ef06987cbbce2f6351d2bbde8d14d66f3d SHA-256: 44b2c0ebf1edab109f4cc34308e07ab2a50addd28a9a1b9aa0e4dcc8bea6d881
120 Risk Score

Malware Insights

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

The PDF contains a critical heuristic firing for a malicious redirector link, pointing to 'https://ttraff.cc/wix?keyword=canales+de+comercializacion+marketing'. Additionally, it exhibits characteristics of a PDF link farm, with numerous external links, many hosted on 'static.usrfiles.com'. The document body, though heavily obfuscated, contains the same redirector URL. The primary attack pattern involves tricking the user into clicking the malicious link, which likely leads to a phishing page or malware download.

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/wix?keyword=canales+de+comercializacion+marketing
    • https://static.usrfiles.com/ugd/b8c837_bea8bb1f7d754495ae836f8540bd9eef.pdf
    • https://static.usrfiles.com/ugd/b8c837_70871d3d0f7e48c7a2680046aef1b088.pdf
    • https://static.usrfiles.com/ugd/b8c837_d074702f2914407e83cd0faa81140cae.pdf
    • https://static.usrfiles.com/ugd/b8c837_914a14dffbc34e618f8844e994ab2473.pdf
    • https://static.usrfiles.com/ugd/b8c837_70113f9ce56d462ebf4fbc15b54bed12.pdf
    • https://static.usrfiles.com/ugd/b8c837_2cfe26c64c86463482b3ab2cde07df31.pdf
    • https://static.usrfiles.com/ugd/b8c837_eb68693a3e90478bacdf1b04194693a0.pdf
    • https://cdn.shopify.com/s/files/1/0439/2560/2472/files/xazavujetovud.pdf
    • https://cdn.shopify.com/s/files/1/0434/7923/6774/files/activation_functions_in_artificial_neural_networks.pdf
    • https://cdn.shopify.com/s/files/1/0428/5346/6271/files/69174598386.pdf
    • https://cdn.shopify.com/s/files/1/0431/7223/3376/files/15990020089.pdf
    • https://cdn.shopify.com/s/files/1/0438/2910/0704/files/nabiku.pdf
    • https://static.usrfiles.com/ugd/b8c837_a4d831feda404e4c92f81e710a87819e.pdf
    • https://static.usrfiles.com/ugd/b8c837_267c64cb94ed4212abc2beb0b1fef955.pdf
    • https://static.usrfiles.com/ugd/b8c837_4d2c3bb36f12404e811aa3ac48835d09.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 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00007373.bin
8dd0989b7072c253b2b71848084e32b4d38b27ebaad599670f0ea8befcfcce28		 pdf-font-stream PDF embedded font (sfnt) at offset 0x7373 5276 bytes
font_01_sfnt_off00008554.bin
be4734230561610deda08ad654848d294dfa3807bf56c2e2d744d8fe20a54645		 pdf-font-stream PDF embedded font (sfnt) at offset 0x8554 11124 bytes

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