Malicious PDF — malware analysis report

Static analysis result for SHA-256 4c724c108e5ceec4…

MALICIOUS

PDF

37.4 KB Created: 2020-08-31 03:48:52 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: a16182a9ae379145bdf8d6f48eca8d7d SHA-1: 9dbd866b02e47edd4e82ec3287aff6d9d7e62a43 SHA-256: 4c724c108e5ceec4fa4ab71ba47b70498ed42a36241f3ea85344b3b916ba566f
150 Risk Score

Malware Insights

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

The PDF contains a link to a known malicious redirector, ttraff.ru, which is likely intended to lead the user to a malicious site. The document body presents a fake 'Adt error code 103' to trick the user into clicking the link. The PDF also contains a large number of links to other PDFs hosted on Shopify, likely for SEO manipulation to improve the ranking of the malicious redirector.

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.ru/wix?keyword=adt+error+code+103
    • https://cdn.shopify.com/s/files/1/0433/1179/2286/files/romoluxo.pdf
    • https://cdn.shopify.com/s/files/1/0435/2232/6696/files/adeste_fideles_piano.pdf
    • https://cdn.shopify.com/s/files/1/0433/4462/5822/files/subigatux.pdf
    • https://cdn.shopify.com/s/files/1/0435/7016/7967/files/blackberry_os_for_pc.pdf
    • https://cdn.shopify.com/s/files/1/0431/9513/8208/files/vovesovijakudowuv.pdf
    • https://cdn.shopify.com/s/files/1/0429/9948/0473/files/feralufawakiv.pdf
    • https://static.usrfiles.com/ugd/b8c837_ce980da358dc4df8a36479e9eed292b7.pdf
    • https://static.usrfiles.com/ugd/ac51ce_80ec0f604fa340a6b5d90a48764c6632.pdf
    • https://static.usrfiles.com/ugd/197ed4_83e0755e6eab4854a009c367aba52a97.pdf
    • https://static.usrfiles.com/ugd/b8c837_9021e0a4d19a420d9e7f540be05bb835.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_off0000579d.bin
6df0ca2b30413759999cd0c241fa978147f921aeb4ab7b819a7bc6c12a0bd072		 pdf-font-stream PDF embedded font (sfnt) at offset 0x579D 4860 bytes
font_01_sfnt_off0000683a.bin
2f8651b1eacfc0c39c0599dc621832f23dd5db96b765c1e8c67dc1fe981a1fd0		 pdf-font-stream PDF embedded font (sfnt) at offset 0x683A 9800 bytes

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