Malicious PDF — malware analysis report

Static analysis result for SHA-256 f2b8c6b9acc29f55…

MALICIOUS

PDF

41.8 KB Created: 2020-11-02 23:55:26 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-04
MD5: d4db05626fd1723611e4f191815c2a78 SHA-1: df5aa06d9205358bbd83dd2915433e56ad39be91 SHA-256: f2b8c6b9acc29f5584bada70996de51658caac26e32ced77fa95a5096b1652b1
94 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1059.007 JavaScript

This PDF document was flagged as malicious by an ML classifier. The file routes users through malicious redirector infrastructure. Specific URLs and indicators for this sample are listed in the indicators section.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 3

  • 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.
  • 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.club/123?keyword=words+beginning+with+gold In PDF document text
    • https://nikoxutaju.weebly.com/uploads/1/3/1/3/131378952/1581069.pdfIn PDF document text
    • https://gefeteki.weebly.com/uploads/1/3/4/3/134310298/lavomegebeg.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4403283/normal_5f918584a701e.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4410730/normal_5fa0314772be9.pdfIn PDF document text
    • https://bufazori.weebly.com/uploads/1/3/4/3/134377245/jujebokinewavizajeku.pdfIn PDF document text
    • https://puliwavigajog.weebly.com/uploads/1/3/4/4/134469254/gigiba_falaguriroxo_xovud_lazepurofeman.pdfIn PDF document text
    • https://xulajaxosu.weebly.com/uploads/1/3/4/3/134366267/tibafejazopizitibiw.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369525/normal_5f97079f2e90b.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/1/0437/1762/3957/files/interpretation_of_data.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0502/7299/3435/files/fluke_onetouch_network_assistant_manual.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_off00006245.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6245 5124 bytes
SHA-256: 1719864d972babd3dcc6676c539fd6406667ed34b0657927b8c4865c9b6c9dcd
font_01_sfnt_off000073c5.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x73C5 11472 bytes
SHA-256: bfc89b834a3545fcade2a0a5722d4eabd3510fd26d9d9f19f32b805296923244