Malicious PDF — malware analysis report

Static analysis result for SHA-256 7644976ccae4d289…

MALICIOUS

PDF

35.1 KB Created: 2020-10-07 21:49:15 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-15
MD5: cfbea4ffd73e01f08668c91b913e8bec SHA-1: 60acd7b5c5c9eb2246f7fe7b5d14e434f02accc6 SHA-256: 7644976ccae4d289b55cc513d2b9062a4b3a805e1f02e3cf36fb348f8bd8985a
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/pify?keyword=gaussian+elimination+matlab In PDF document text
    • http://wofojavi.braziliansocceracademynj.com/uploads/1/3/1/6/131636725/7f320b748f2af06.pdfIn PDF document text
    • http://sanafan.nakedfranktheatre.com/uploads/1/3/2/6/132682697/2489989.pdfIn PDF document text
    • http://saxume.hannanicholeart.com/uploads/1/3/0/8/130813840/tefagulosapeg.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/0803dc14-b3d3-4cd4-afc6-1945ce6b4cf1/32628961771.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/28ce24b9-e248-4b4a-b048-57fda4fa9d95/59580170897.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/e5114ffa-754e-4bd7-898e-8eb271b54748/visuvizivogizumuma.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/2dd67b9e-e516-4afe-bc5e-e4357857efbf/65518631476.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/bd6022ec-2935-4f86-b13e-683f314b4057/xanusakaxofizufa.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/9374/5046/files/23936816549.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0472/2920/6693/files/3rd_grade_math_test_with_answer_key.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/7317/4693/files/93687662017.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/9902/1717/files/kudixezetorupa.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/2385/8845/files/liberty_amendments.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/d30c8086-a4cf-4c3e-945b-66e4b4bbd189/90888779137.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4135516d-84ef-4234-b793-75a8f365ba5b/77402733140.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/8eb211ea-a793-4859-bd5e-df0f0946c86f/zojejusepadetuxisek.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_off00004cff.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x4CFF 4904 bytes
SHA-256: 7b075676a52299f46949ef4b467da7e4b4ca9855e562644d3959ee828907a2ec
font_01_sfnt_off00005d9c.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5D9C 9948 bytes
SHA-256: 11df48b165f15b702fe1f35760ddf5cb3c956bd449b63216c6c4e33d492de5e2

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