Malicious PDF — malware analysis report

Static analysis result for SHA-256 32b5998cf04d457c…

MALICIOUS

PDF

49.6 KB Created: 2020-10-22 15:58:58 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2020-12-25
MD5: bd2ecfbfc3a06aac7b5b66811eaee7e5 SHA-1: 25a57b4217af5da2e8b777b68f48f295f775b24b SHA-256: 32b5998cf04d457c4828e16545743a4c8a5eb84ff47fba015420290c3efaddc9
194 Risk Score

Machine Learning

  • Nyx PDF Classifier malicious score 0.9948

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://ggtraff.ru/aws?keyword=tratado+de+paris+2016+pdf In PDF document text
    • https://cdn-cms.f-static.net/uploads/4366980/normal_5f894d49a8510.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4368238/normal_5f8d475ac2751.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369760/normal_5f908370d9b22.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4367278/normal_5f8c3c882fba1.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366027/normal_5f8a165514a71.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4391620/normal_5f916fec9c97b.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4373505/normal_5f89728449abc.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4379852/normal_5f8ceb3e1d5df.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369329/normal_5f8e265f00041.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • http://www.daltonmaag.com/In PDF document text
    • https://cdn.shopify.com/s/files/1/0483/0540/6115/files/chinese_consonants_and_vowels.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0500/2510/3549/files/99490408734.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0484/5017/5126/files/49652701292.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/1239/0038/files/38412392561.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/9699/0115/files/resumen_segunda_guerra_mundial_4_eso.pdfIn PDF document text
    • https://s3.amazonaws.com/vavebufevodutob/aieee_2010_physics_solutions.pdfIn PDF document text
    • https://s3.amazonaws.com/xifabilejilab/the_adventures_of_tom_sawyer_book.pdfIn PDF document text
    • https://s3.amazonaws.com/purawuma/xaziwimelure.pdfIn PDF document text
    • https://s3.amazonaws.com/wilugugo/nafedofeg.pdfIn PDF document text
    • https://s3.amazonaws.com/tetazino/7403078407.pdfIn PDF document text
    • https://s3.amazonaws.com/gujutavevive/mm_to_cm_conversion_chart.pdfIn PDF document text
    • https://s3.amazonaws.com/felasorarabipis/accounting_ledger_paper.pdfIn PDF document text
    • https://s3.amazonaws.com/wonoti/prokaryotic_cell_parts_and_functions.pdfIn PDF document text
    • https://s3.amazonaws.com/mamibis/oxford_picture_dictionary_english_italian.pdfIn PDF document text
    • https://s3.amazonaws.com/wilugugo/tefamugulalepojizetaluwis.pdfIn 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_off00007c29.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7C29 5112 bytes
SHA-256: d3bd1715cc26a26f19d0ad8f78375860a7d437f1c8603c9eb9aad6d81c6981d1
font_01_sfnt_off00008d9d.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8D9D 11436 bytes
SHA-256: 9e860469e353e008a1b5641d75299e78993ab3dc26fbd6be6f23cdd9a02f6222
font_02_sfnt_off0000b2dd.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xB2DD 4324 bytes
SHA-256: 9f355172d696dda274cac500966718f112ce76951f19577ac4888987ea6471b2