Malicious PDF — malware analysis report

Static analysis result for SHA-256 510717c08d6fdb8f…

MALICIOUS

PDF

39.5 KB Created: 2020-08-24 00:57:49 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: 49f1293bd8313fc803e4aca4f3b79ba4 SHA-1: b7180c16eea664d1f2df6d758c0f04bb0b2f0cf0 SHA-256: 510717c08d6fdb8f2fa4504f124c86dc21a9295cd3b6477961c6be96552cf4f7
120 Risk Score

Malware Insights

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

The PDF contains a mass of external links, including one to a known malicious redirector (ttraff.cc). The document body, though heavily obfuscated, contains text related to a 'gents shirt cutting tutorial' and the malicious URL, suggesting a lure. The presence of numerous Shopify links, while mostly benign, contributes to the link farm heuristic. The primary malicious indicator is the redirector URL, which is likely used to funnel victims to a phishing or malware delivery site.

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=gents+shirt+cutting+tutorial+pdf
    • http://files.thecubeexercisephysiology.com/uploads/1/3/1/6/131606431/3237976.pdf
    • https://cdn.shopify.com/s/files/1/0431/4316/8156/files/old_man_and_the_sea_sparknotes.pdf
    • https://cdn.shopify.com/s/files/1/0430/1737/1797/files/27504922637.pdf
    • https://cdn.shopify.com/s/files/1/0429/0763/1783/files/amazon_echo_registration_failure.pdf
    • https://cdn.shopify.com/s/files/1/0434/8051/4726/files/16502688563.pdf
    • https://cdn.shopify.com/s/files/1/0435/0482/8580/files/wamib.pdf
    • https://cdn.shopify.com/s/files/1/0432/5857/7046/files/72244489388.pdf
    • https://cdn.shopify.com/s/files/1/0432/2839/7732/files/arithmetic_mean_problems.pdf
    • https://cdn.shopify.com/s/files/1/0432/8315/3056/files/71195623796.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_off00005c3e.bin
4d30cb3a9e9955c02b60c22a79a2eb448f62b07f84efeb752c03446291f7231e		 pdf-font-stream PDF embedded font (sfnt) at offset 0x5C3E 5448 bytes
font_01_sfnt_off00006ec6.bin
e00fdf4b43e28847a035d7923743517abb5451953ac338f5533771025c269baa		 pdf-font-stream PDF embedded font (sfnt) at offset 0x6EC6 10168 bytes

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