Malicious PDF — malware analysis report

Static analysis result for SHA-256 e426429b99c5f45c…

MALICIOUS

PDF

44.3 KB Created: 2020-10-15 15:48:40 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-19
MD5: 06e56858a78afd32b33eed72e17a3c14 SHA-1: 60abe9a62813d62d9043f3faf05a7d589c70d522 SHA-256: e426429b99c5f45c64f5a7d068f448e449d4cb341153b1b583e50869a69fc7ca
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/123?keyword=dmv+driving+test+handbook In PDF document text
    • https://cdn-cms.f-static.net/uploads/4366024/normal_5f870e7d8adaf.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366040/normal_5f87f754f25b3.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366312/normal_5f8725a393ade.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366389/normal_5f8715dd55834.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366980/normal_5f8774d1c53b1.pdfIn PDF document text
    • https://site-1041770.mozfiles.com/files/1041770/94451239700.pdfIn PDF document text
    • https://site-1036772.mozfiles.com/files/1036772/81234651787.pdfIn PDF document text
    • https://site-1042346.mozfiles.com/files/1042346/pixukegusevunudit.pdfIn PDF document text
    • https://site-1042498.mozfiles.com/files/1042498/siluvuxujumifuwutidilenol.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://cdn.shopify.com/s/files/1/0497/2557/1224/files/tony_dinozzo_ncis_new_orleans.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0500/2054/8758/files/our_cosmic_origins.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0496/7864/7453/files/zawigow.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/5462/0054/files/quickie_mop_refill_type_j.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0494/0677/1356/files/how_much_folgers_coffee_for_30_cups.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/72c194d0-9a02-4175-9cde-9115be2d22a6/gebujosigekupogilavidi.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/38c0632e-a830-4fa9-b952-e0248aeb1c08/78350156188.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/5cdc2ec7-1f9f-4cca-abe0-b6f36da6749e/paziwedikawut.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/70e787f3-84eb-4abd-927b-ece2ddb160be/94421903259.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/bee2fd80-3c44-4f44-bbbf-7084b926f71e/64634651133.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/00200a5f-a6e9-4d2a-9a73-ffdc899372c8/26052903708.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/d55a14a4-8b15-4339-9682-f5ac152de291/75415394944.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_off00006d9c.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6D9C 5472 bytes
SHA-256: 262cb5b6785055adcb64b12dddf07a2b56eafa5ea6257c5817845a2ed6d07f5f
font_01_sfnt_off0000800d.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x800D 10496 bytes
SHA-256: c26b089d9d0f38d58bdd1ebd63ca3d727d8649ab1df2213c33caadbc4c1876eb