Malicious PDF — malware analysis report

Static analysis result for SHA-256 3a2c0e99f22e97df…

MALICIOUS

PDF

62.8 KB Created: 2020-11-02 08:50:05 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-02-23
MD5: c944be6091f266ebfe0e30610df31446 SHA-1: d8b4eecbeff2f7a9973aea46f05e9dad1c5af22e SHA-256: 3a2c0e99f22e97dfd2e16a7ea19060ca8c2c1905c8270775673f443378fb55d1
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=chords+and+lyrics+to+america+the+beautiful In PDF document text
    • https://bewapuvin.weebly.com/uploads/1/3/1/4/131453684/funiju.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366365/normal_5f87104a08163.pdfIn PDF document text
    • https://disadoxamegipu.weebly.com/uploads/1/3/4/5/134527150/vinigezifeg.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4452839/normal_5f9fa8dc82dff.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4404523/normal_5f981d71a35ff.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4382194/normal_5f9199ec783a7.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369797/normal_5f9a08699318b.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/29969c86-76ef-4c36-97cb-e97cad00514e/72803483827.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/13368a6c-ff0e-44a7-b6cc-cc80599df9b7/penapoj.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4880e5de-b259-437e-8764-a21acc3aa2a3/ziguzivatogajapifibareja.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ec795e27-3f06-4723-ac9e-fb51fe85d81f/87164846682.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4bfe3741-5ca1-4adf-a674-a835dac994f2/kinemubomelubuturofuzewa.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/30286221-161e-41ac-aab0-b51dcec39d1b/zupenuwosepexe.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/72daa886-5084-4d3e-9def-e9667dbd16b2/sodofobiru.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/1661aa97-8ec8-42ec-84df-909ef6f5d859/77873313579.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/67866b0f-34e4-45ce-aeb2-9db49fdaeb88/movie_times_tifton_ga.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_off0000b485.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xB485 5408 bytes
SHA-256: 131a0ae118ee47164e54c7a9674a8185ced6052f4ee83315094ccf07176ff9db
font_01_sfnt_off0000c6bc.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xC6BC 11444 bytes
SHA-256: 177340d3d8a673b77425d0798e8ea62df8a758144880bb11af9ce6419e22469e

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