Malicious PDF — malware analysis report

Static analysis result for SHA-256 38ac92ea9d747634…

MALICIOUS

PDF

36.3 KB Created: 2020-11-04 16:06:45 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-04
MD5: 4c2349c7eaa01af8490f50f0f8aff8e5 SHA-1: d3c0f5501f70891e9a167d09ead7ed8aaaafcc52 SHA-256: 38ac92ea9d747634eeb2fa81a39d135bf8524d79a8c1131964bdafd8cab0fd83
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=puppets+definition+in+spanish In PDF document text
    • https://cdn-cms.f-static.net/uploads/4407998/normal_5f937f6edefbc.pdfIn PDF document text
    • https://kujiviremi.weebly.com/uploads/1/3/2/3/132302989/nawen-fefepilirowa-fatominet.pdfIn PDF document text
    • https://labajilawuja.weebly.com/uploads/1/3/1/4/131406369/pupidodaw.pdfIn PDF document text
    • https://rigafefabapamum.weebly.com/uploads/1/3/4/4/134486683/b0556b19cbcb050.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4388065/normal_5f9474354b36a.pdfIn PDF document text
    • https://bipikive.weebly.com/uploads/1/3/4/3/134342269/8297378.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4412570/normal_5f9fd95cd696f.pdfIn PDF document text
    • https://xalipifizipig.weebly.com/uploads/1/3/1/3/131379045/ritiniju.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369633/normal_5f8e0db96c7c1.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/9d135e6e-bf3f-4536-afb1-e5f5b66f950d/11032068209.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_off00005053.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5053 5004 bytes
SHA-256: dfe4599550be712ebf7612aa99452c661beb7a037dd64939f9b6be69c3b4a65e
font_01_sfnt_off0000615a.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x615A 10396 bytes
SHA-256: b17afb20b00261528f32797c4c7cf51761fe7746199ab01b8622c6d2cc50cf7a