Malicious PDF — malware analysis report

Static analysis result for SHA-256 c89ae75fbb939f20…

MALICIOUS

PDF

44.3 KB Created: 2020-10-04 01:40:52 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-15
MD5: b43c591cb600f8c3aafb2367fee78123 SHA-1: a9a551b39aed7aff3f9a2cfd3852428005ee1b1b SHA-256: c89ae75fbb939f2051e28a13eb7623d1e8fa358346c3f1a3ce24e7e452db3855
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/strik?keyword=denotacion+y+connotacion+de+miel In PDF document text
    • http://files.363ibew.com/uploads/1/3/2/8/132815343/5222490.pdfIn PDF document text
    • http://majukupu.onelifemin.com/uploads/1/3/0/7/130738970/a926c8d920f.pdfIn PDF document text
    • http://files.tuhstakeout.com/uploads/1/3/0/7/130776239/d6d0be064.pdfIn PDF document text
    • http://xulubo.salinemiddleschoolchoirs.com/uploads/1/3/1/3/131380550/76041.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • http://www.daltonmaag.com/In PDF document text
    • https://uploads.strikinglycdn.com/files/faa13ece-7f75-4aac-9720-8d66c6d481e5/47060154591.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/0ad906b6-d429-466a-b727-b5e6757d1de8/70477971490.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/5bacf276-f73d-4665-b3f7-ddb2f047826e/jumowumunitisiwinijop.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/017d7c4f-1a6e-4950-bb79-0358f4968e70/rujisufiwefekamunikod.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/a0e1daa8-2b71-4463-9b71-231a68565eba/zapekepefuk.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/c13c79fd-fe29-4692-9fb3-852574ea1919/93071830985.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/bf85d79d-39f0-4a60-aa42-899759a46b46/sovebujufegivutede.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/af0a088b-0946-4722-bfe4-0dd6018d2321/51154560495.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/98546d14-25a8-410a-9da2-c95951cfd0c8/ragesaki.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4e335b2c-cec2-4de5-8e5e-f1b4b16afe43/68889303433.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 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off000060c6.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x60C6 4700 bytes
SHA-256: 9609bd33b8353c20ff4eccb632e241e9777e2bf8689b8aca0ba9eb071f2ac8d9
font_01_sfnt_off000070b1.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x70B1 11564 bytes
SHA-256: 228717257d5cd0a5a6305aa456ff36a2c92b99443b46bbbe9fd8ebb8b7a3c278
font_02_sfnt_off00009629.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x9629 4324 bytes
SHA-256: d1f4a20f0e35a0564be54678b929bb8c711862c507f070c2b9a6abea8daf4378

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