Malicious PDF — malware analysis report

Static analysis result for SHA-256 e692ed7129843119…

MALICIOUS

PDF

38.0 KB Created: 2020-10-27 21:56:46 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-10
MD5: 7601f480624229719222f2111c5ea365 SHA-1: 6738cc0368919f5d03fb45b4f47f70049300fcaf SHA-256: e692ed7129843119421b38229f47599ad67f91f18b668e3b2efe91bfece238a7
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.me/123?keyword=car+eats+car+2+unblocked In PDF document text
    • https://togitarusufojir.weebly.com/uploads/1/3/2/6/132681229/guzunepi.pdfIn PDF document text
    • https://jikolugoxolij.weebly.com/uploads/1/3/1/3/131379047/seburuvenu-vafiwatebej.pdfIn PDF document text
    • https://bewapuvin.weebly.com/uploads/1/3/1/4/131453684/b203f5f.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://s3.amazonaws.com/fasanag/jelokemiwowolimugexekeb.pdfIn PDF document text
    • https://s3.amazonaws.com/mijedusovineti/amharic_reporter_newspaper.pdfIn PDF document text
    • https://s3.amazonaws.com/jamokaroxoj/tutimafafowosezunuwuvel.pdfIn PDF document text
    • https://s3.amazonaws.com/fujadabez/adobe_acrobat_pro_apk.pdfIn PDF document text
    • https://s3.amazonaws.com/bepukuba/binge_eating_self_help.pdfIn PDF document text
    • https://s3.amazonaws.com/banula/32324300820.pdfIn PDF document text
    • https://s3.amazonaws.com/widuxade/how_to_ensure_validity_in_qualitative_research.pdfIn PDF document text
    • https://s3.amazonaws.com/lupuvogotog/42607210390.pdfIn PDF document text
    • https://s3.amazonaws.com/sefukirexuwekij/66788925808.pdfIn PDF document text
    • https://s3.amazonaws.com/zetare/91286817264.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0438/2959/2214/files/abnormal_psychology_barlow_8th_edition_free.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/4925/4050/files/momiwenedasebi.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0498/0863/8106/files/zuliv.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0486/6424/8470/files/faneguleravotodos.pdfIn PDF document text
    • https://s3.amazonaws.com/kavitokolezub/zituliwivowewimesivomizu.pdfIn PDF document text
    • https://s3.amazonaws.com/tadovu/analytic_geometry_book_grade_12.pdfIn PDF document text
    • https://s3.amazonaws.com/memul/vanaspati_vigyan_download.pdfIn PDF document text
    • https://s3.amazonaws.com/wilugugo/adobe_virtual_printer_free_download.pdfIn PDF document text
    • https://s3.amazonaws.com/felasorarabipis/25936715993.pdfIn PDF document text
    • https://s3.amazonaws.com/tetofamuxulil/monthly_amortization_schedule.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_off00005482.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5482 5176 bytes
SHA-256: 6acf772844e01cb0690991ca392ea77d9f344dcbfa2cb2deb8dcc88dd5dc2f69
font_01_sfnt_off00006624.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6624 10420 bytes
SHA-256: 3dd56c2fbe3922adacf85710c8280eb0d4f5c1eb3b70672311b3d8fe3b0f05b3

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