Malicious PDF — malware analysis report

Static analysis result for SHA-256 f6d31939aba9f081…

MALICIOUS

PDF

42.4 KB Created: 2020-09-09 16:38:10 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-15
MD5: e9a2eee2c8121b04687b7fda9cafdc87 SHA-1: bcd956cbaca8a4d4a6aa4578aa372455c1521d9d SHA-256: f6d31939aba9f081b6ab3d7b9b7bbc76e416325ec8b4a5e0a96afbce3fd0acba
194 Risk Score

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 5

  • 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.
  • Image lure linking to an SEO redirector (free-download phishing) high PDF_SEO_UTM_REDIRECTOR_LINK
    PDF embeds an image with little or no body text and a clickable link to a multi-word utm_term / FeedBurner-proxied SEO redirector — the 'free ebook / solution-manual / document download' phishing family that ranks for natural-language search queries and routes the user into a payload/redirect chain. The PDF carries no exploit; the risk is the linked destination. Flagged structurally (image lure + SEO redirector) so it does not depend on a ClamAV/ML signature, and regardless of how many filler text pages the lure carries.
  • Object number defined twice with different bodies info PDF_DUPLICATE_OBJ_BODY_INCREMENTAL
    The same indirect object (N G) is defined more than once with different body bytes. First-wins and last-wins readers will resolve different content, which is a parser-confusion shape used by targeted PDFs. Body-only differences are common in benign incremental updates, so severity is raised only when the duplicate carries active content.
  • 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=kiplinger%2527+s+retirement+report+phone+number In PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://static.usrfiles.com/ugd/696b8a_c8fbfd8803a44779badf8100f051280f.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/dad90e_e13bc96e0887408c8c0884258a30e43b.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/baef12_59144a781e374b53a0a56cae13783d69.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/9bd82e_3c14aac73d4840e79da017fda05095ea.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0438/0911/2226/files/66521879771.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/3626/2050/files/4237297750.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0449/8512/2984/files/characteristics_of_romanticism_in_american_literature.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/2931/5229/files/fediruzatuwebudikag.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/838e7e_35650be9b724475ea70cd86d71e42a73.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/a72fa8_4458718317a8463aa8304eeb817a0735.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/1f5cef_904e333cd92d4ae9a8472ce9634d5e93.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/6846fe_3321551ec45640c09b9397077c2600bb.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/191a6d_31df0f60a65c433bbc6c9cf6c013207c.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/a467d2_d930a5654b384ce4971908a36ea8f771.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/9c0842_373a4739ab4c4ebb936872c90dcfde0b.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/e4a001_4829752cce2f42988f7bf68f6791886d.pdfIn PDF document text
    • http://www.w3.org/1999/02/22-rdf-syntax-ns#In PDF document text
    • http://purl.org/dc/elements/1.1/In PDF document text
    • http://ns.adobe.com/pdf/1.3/In PDF document text
    • http://ns.adobe.com/xap/1.0/In PDF document text
    • http://ns.adobe.com/xap/1.0/mm/In PDF document text
    • http://ns.adobe.com/xap/1.0/rights/In PDF document text
    • http://scripts.sil.org/OFLIn PDF document text

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00006655.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6655 5164 bytes
SHA-256: cfc277cd2c7ab9ea08096a63983fd8e1081c119546d44bf29db8cfe5de56f465
font_01_sfnt_off000077cc.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x77CC 10764 bytes
SHA-256: 1e48822346783ced7e773bde3f8f35a1e958415f871c9af918ef31648dfc54ec

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