Malicious PDF — malware analysis report

Static analysis result for SHA-256 071db47373720028…

MALICIOUS

PDF

37.1 KB Created: 2020-11-03 20:51:56 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-04
MD5: 8861c616af50ec3c209ae2d6048a1445 SHA-1: ef0d20c47509fa2729b41bb8964d7b885b31f8e2 SHA-256: 071db47373720028429e4604a2c33950f625b15461e4c61096c6cd35f98f1010
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://cctraff.ru/aws?keyword=sending+stones+5e+description In PDF document text
    • https://nakumupapetiz.weebly.com/uploads/1/3/2/7/132741615/litixugakibejopuk.pdfIn PDF document text
    • https://nogafuku.weebly.com/uploads/1/3/2/8/132815296/f2d5a8f7a66cc.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4367646/normal_5f878e15468ee.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365661/normal_5fa141d57714a.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4374009/normal_5f894955edb84.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://s3.amazonaws.com/moduxanakuri/54828114828.pdfIn PDF document text
    • https://s3.amazonaws.com/pujirageg/jewibawulibapar.pdfIn PDF document text
    • https://s3.amazonaws.com/lanorolowu/49148752531.pdfIn PDF document text
    • https://s3.amazonaws.com/zuxadol/best_books_download.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_off0000516d.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x516D 5224 bytes
SHA-256: ea4d66a8b9b905c34a0782c0740bdb68a63891259363ff7a90390467387847e8
font_01_sfnt_off0000634b.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x634B 10808 bytes
SHA-256: 9b223fa5ccb57b2c8a879b6ef955d1828ac38908d98cc66c34019b12b086efa5