Malicious PDF — malware analysis report

Static analysis result for SHA-256 a8e30f34e027e0c6…

MALICIOUS

PDF

45.2 KB Created: 2020-10-24 11:10:41 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2020-12-25
MD5: 967a45849b314fdf1ba1923c894098ce SHA-1: 10e94d70bde71e353f495fca64110208fd4838c0 SHA-256: a8e30f34e027e0c6ec1bb60e05ff1030d41a7aaf0cd0f895ba891b529a947469
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/aws?keyword=el+camino+del+guerrero+buff+academy+pdf In PDF document text
    • https://bavejojonosepes.weebly.com/uploads/1/3/1/3/131380601/tapategajevawopaji.pdfIn PDF document text
    • https://xavoxoxuda.weebly.com/uploads/1/3/1/3/131379246/eea92587.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365655/normal_5f8768ced0711.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366384/normal_5f8745c202c0b.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4384839/normal_5f8daec700bc4.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4391898/normal_5f90706d9518a.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://uploads.strikinglycdn.com/files/da063ee1-d5a8-47c9-b724-070e64b3ff81/xalipunafaxufuwuximu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/d3616665-0711-4640-a72d-d5503fb85b8b/pafotagaxa.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/db3da284-6143-4173-9e41-115acc655c5f/75228448468.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/8e1729d4-84f9-4879-81df-589e55624540/.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/87a56667-5217-4dd1-abf0-5c37d6e8fdb7/86270071574.pdfIn PDF document text
    • https://s3.amazonaws.com/gafedupeba/solving_equations_with_variables_on_both_sides_word_problems.pdfIn PDF document text
    • https://s3.amazonaws.com/sugaguxagu/vagawozopute.pdfIn PDF document text
    • https://s3.amazonaws.com/foneniz/microsoft_dynamics_ax_training.pdfIn PDF document text
    • https://s3.amazonaws.com/jofunozuzof/marriage_d_amour_guitar.pdfIn PDF document text
    • https://s3.amazonaws.com/wilugugo/29477681602.pdfIn PDF document text
    • https://s3.amazonaws.com/ribowexulo/75114922112.pdfIn PDF document text
    • https://s3.amazonaws.com/wonoti/clickbank_affiliate_marketing.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 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0000632d.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x632D 5496 bytes
SHA-256: 79b884f061fb55efecdeb3fb1fd3ceddceb4a63e9cc760abd71bd9fcc9c05385
font_01_sfnt_off000075cb.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x75CB 1852 bytes
SHA-256: a2af1f685b55b0c685b8540f6ea4ed5b5fb980cec2d95065e4f58d89d6d1c452
font_02_sfnt_off00007ea2.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7EA2 12044 bytes
SHA-256: 2f41212437705d96b8ccb34e74c7a7961a17d28376902adf1802c37d5632644a

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