Malicious PDF — malware analysis report

Static analysis result for SHA-256 63fcd5a3c88c3a4a…

MALICIOUS

PDF

32.9 KB Created: 2020-11-07 10:49:31 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-09-14
MD5: 51abe0120a6ea0ad9981d087b64f73ee SHA-1: 99519871db0d125d0969c704420d760add9d56ad SHA-256: 63fcd5a3c88c3a4a69657dbbb70be1e9b52127d16c3104f1788ae21222939346
94 Risk Score
Tags
free-cdn-ebook-manual-lure

Malware Insights

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

The PDF contains a link to a known malicious redirector, ggtraff.ru, which is designed to lead users to further malicious sites. The ML classifier also strongly flagged this PDF as malicious. While no scripts were explicitly extracted, the PDF structure and embedded links indicate an attempt to lure the user to a harmful destination, likely for phishing or malware delivery.

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://ggtraff.ru/123?keyword=queen+nandi+hospital+address In PDF document text
    • https://cdn-cms.f-static.net/uploads/4369900/normal_5f8f94b655e30.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4420237/normal_5f9ed34cbf7ad.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4367312/normal_5f90cecb0a403.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/gajabedafot/san_juan_river_guide_book.pdfIn PDF document text
    • https://s3.amazonaws.com/jotizifime/elemental_workshop_osrs.pdfIn PDF document text
    • https://pupirod.files.wordpress.com/2020/11/sagob.pdfIn PDF document text
    • https://lotitogigi.files.wordpress.com/2020/11/bdo_cron_stone_guide.pdfIn PDF document text
    • https://s3.amazonaws.com/lanorolowu/95665597734.pdfIn PDF document text
    • https://solejefiv.files.wordpress.com/2020/11/fudamidot.pdfIn PDF document text
    • https://botebofeji.files.wordpress.com/2020/11/15963812645.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_off000043ce.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x43CE 5108 bytes
SHA-256: 9b7c6da931d2539bfceb8be14cafa1bbc4a48447871a121eb188b29348921039
font_01_sfnt_off00005520.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5520 10112 bytes
SHA-256: b7b21c3e10851a7530a97ff4a390bdc214b21c91430bc3376974e091b0f49edb

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