Malicious PDF — malware analysis report

Static analysis result for SHA-256 75f9a49ed4e8cb90…

MALICIOUS

PDF

45.9 KB Created: 2020-11-05 22:33:44 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-01-11
MD5: 2f593731d0dee01aedfabaf3f7753172 SHA-1: d8e5032b752eddfb66bbc58db01fb948bb5e13c0 SHA-256: 75f9a49ed4e8cb906484f1c695d01c7ce26aeb1707e47d7380ab5b71fbe289c4
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://cctraff.ru/aws?keyword=phim+han+quoc+hay+nhat+nam+2020 In PDF document text
    • https://cdn-cms.f-static.net/uploads/4366309/normal_5f9fdc1dce9e6.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4412761/normal_5f9ee2a4dea4d.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://uploads.strikinglycdn.com/files/0cfff1da-d9c6-4072-b30d-5787172e0977/moxil.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0498/5631/5591/files/gopro_5_instructions_manual.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/09068ff5-9622-45c0-8de5-b4d2c92df124/21077234833.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0498/4363/4375/files/73091909714.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/a8054c19-2d6e-43c6-b546-deb4e53f2d46/gexerad.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/700a01e1-76ba-4225-acba-9fbf47f7b0ba/widozekagawokizexab.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/67c57e08-588a-408f-8ce1-3f9411f5718a/5867813837.pdfIn PDF document text
    • https://s3.amazonaws.com/tifuwuw/98870014441.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/a2d195a6-c664-4029-99c0-60c04d07cda4/telugu_neethi_kathalu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/e19966cc-5887-4406-bbab-8d20ca126d96/xiwojoledopu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/b480bfb8-489f-4890-8d60-c47cb16e39bd/36824695917.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/e37ca01b-05a2-4be2-b184-f84a04b4d8ea/fetude.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ed681d2f-b59c-44de-8fa5-b7feb46769b0/77418980331.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/bb445dac-3c27-4dd3-bdb5-1a9045f27d81/tenuwelilubaka.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_off000074ac.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x74AC 5236 bytes
SHA-256: 0021e12ae25d98ae8882133806c2a5648727246af16243d72c715d2a36d8190e
font_01_sfnt_off0000866b.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x866B 10632 bytes
SHA-256: 850cec8dc1c92fa00d76303083524b03957f06fcce42d03e66f91b7a4bf3e1f0

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