Malicious PDF — malware analysis report

Static analysis result for SHA-256 5a16178788834450…

MALICIOUS

PDF

38.1 KB Created: 2020-10-22 15:52:59 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2020-12-25
MD5: 4d9f4da4a1a7e903639fa1cadb9be42c SHA-1: 4180b21512623ae5819f38eb4c27cbf06354b807 SHA-256: 5a161787888344507c2ada89e75d2737b8dfb2c748163b74f3e74be5ab158fb1
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://gettraff.ru/pify?keyword=lego+friends+hotel+manual In PDF document text
    • https://zugufavowi.weebly.com/uploads/1/3/0/8/130874222/zekijufe.pdfIn PDF document text
    • https://vopevejefed.weebly.com/uploads/1/3/1/6/131606133/6035995.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4387814/normal_5f8d849769429.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366384/normal_5f90e38e789fa.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4370053/normal_5f8b816ed182f.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366395/normal_5f8d43b792eb6.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4387826/normal_5f8f71d741208.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/leguvefu/5077646844.pdfIn PDF document text
    • https://s3.amazonaws.com/zetare/benanor.pdfIn PDF document text
    • https://s3.amazonaws.com/susopuzupure/isometric_paper.pdfIn PDF document text
    • https://s3.amazonaws.com/memul/acquisitions_incorporated_d_d_free.pdfIn PDF document text
    • https://s3.amazonaws.com/nijosinizo/blanchard_and_fischer_lectures_on_macroeconomics.pdfIn PDF document text
    • https://s3.amazonaws.com/leguvefu/jodeteg.pdfIn PDF document text
    • https://s3.amazonaws.com/felasorarabipis/gebuwula.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0488/3759/1205/files/prometric_exam_questions.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0501/1410/1413/files/download_talking_tom_camp_mod_android_1.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/0512/4503/files/bapabikosupowodololoxo.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0501/0168/2341/files/tofunabegu.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/9383/5432/files/kenwood_car_stereo_dpx500bt_manual.pdfIn PDF document text
    • https://s3.amazonaws.com/tetazino/spanish_books_for_beginners_free.pdfIn PDF document text
    • https://s3.amazonaws.com/henghuili-files/pdf_not_printing_on_brother_printer.pdfIn PDF document text
    • https://s3.amazonaws.com/xefejevife/demoresupivin.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_off0000558c.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x558C 5260 bytes
SHA-256: b003c88cf2032200e20b8511588626837fd3b9fe312c6bdfd0316c3a630c5612
font_01_sfnt_off00006749.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6749 10744 bytes
SHA-256: b3d0e2891de371b33811e2913141d0b1203b2bf1a64a4cebdbdd95528fec2fd2