Malicious PDF — malware analysis report

Static analysis result for SHA-256 c985d1693ed21fe9…

MALICIOUS

PDF

40.3 KB Created: 2020-10-28 08:00:03 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-02-23
MD5: c30f78bf678597a59ce48934844e6f91 SHA-1: 586479769e69dd315e7129dec3c188e1d76c3ee6 SHA-256: c985d1693ed21fe93665f2bdea654a4a1dd2bb7c87f0ba23925573add9e55f66
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=middle+school+in+spanish+language In PDF document text
    • https://cdn-cms.f-static.net/uploads/4373248/normal_5f8b1836e247e.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4380403/normal_5f8fb6e13ac29.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4374518/normal_5f8baf54712fe.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365655/normal_5f884865bd49d.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366324/normal_5f8b66dd85def.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4393631/normal_5f91eebe8f3de.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4391037/normal_5f91c6a7acad3.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365575/normal_5f87d92742d12.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4403951/normal_5f98ad2953545.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4403262/normal_5f9891c0e970a.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/sabegokek/the_golden_tower_magisterium_5.pdfIn PDF document text
    • https://s3.amazonaws.com/norozovijalu/24086256951.pdfIn PDF document text
    • https://s3.amazonaws.com/wonoti/african_history_books.pdfIn PDF document text
    • https://s3.amazonaws.com/vunizi/jurnal_akuntansi_manajemen_2017.pdfIn PDF document text
    • https://s3.amazonaws.com/loxopudizus/nelemegusumeluzulowa.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0436/1905/7822/files/kuvotusugewu.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/4456/8220/files/3477674332.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0482/6978/7300/files/50559547386.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/815339b2-d047-431a-8709-7ccc9d5857e7/corrupt_heart_ark.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/e4c67237-868f-41a8-b060-edf6bf6241a4/35026858241.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/b6222ba0-5e73-4db0-9b6c-a05eced3fbae/sowexodozisebivofewajabap.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/6e0a59bd-04d0-4831-9cfc-54b6bad1e2d6/40295517028.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/3064fba8-b1f4-4840-9c77-1b55f1623d8f/good_moral_character_letter_sample.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_off00005da5.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5DA5 5244 bytes
SHA-256: 143d8028f0fcbd440c1437203326de3141959a3631dc121e9cb2debf1de23f65
font_01_sfnt_off00006f75.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6F75 11184 bytes
SHA-256: 66f3ac66873f7e46637e9869368835a87b0ea05a63fb31fc663257d0996c3ac4

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